Kimberly E Mace, Paul M Arguin, Naomi W Lucchi, Kathrine R Tan
<p><strong>Problem/condition: </strong>Malaria in humans is caused by intraerythrocytic protozoa of the genus Plasmodium. These parasites are transmitted by the bite of an infective female Anopheles species mosquito. The majority of malaria infections in the United States occur among persons who have traveled to regions with ongoing malaria transmission. However, malaria is occasionally acquired by persons who have not traveled out of the country through exposure to infected blood products, congenital transmission, laboratory exposure, or local mosquitoborne transmission. Malaria surveillance in the United States is conducted to provide information on its occurrence (e.g., temporal, geographic, and demographic), guide prevention and treatment recommendations for travelers and patients, and facilitate transmission control measures if locally acquired cases are identified.</p><p><strong>Period covered: </strong>This report summarizes confirmed malaria cases in persons with onset of illness in 2016 and summarizes trends in previous years.</p><p><strong>Description of system: </strong>Malaria cases diagnosed by blood film microscopy, polymerase chain reaction, or rapid diagnostic tests are reported to local and state health departments by health care providers or laboratory staff members. Case investigations are conducted by local and state health departments, and reports are transmitted to CDC through the National Malaria Surveillance System (NMSS), the National Notifiable Diseases Surveillance System (NNDSS), or direct CDC consultations. CDC reference laboratories provide diagnostic assistance and conduct antimalarial drug resistance marker testing on blood samples submitted by health care providers or local or state health departments. This report summarizes data from the integration of all NMSS and NNDSS cases, CDC reference laboratory reports, and CDC clinical consultations.</p><p><strong>Results: </strong>CDC received reports of 2,078 confirmed malaria cases with onset of symptoms in 2016, including two congenital cases, three cryptic cases, and one case acquired through blood transfusion. The number of malaria cases diagnosed in the United States has been increasing since the mid-1970s. However, in 2015 a decrease occurred in the number of cases, specifically from the region of West Africa, likely due to altered travel related to the Ebola virus disease outbreak. The number of confirmed malaria cases in 2016 represents a 36% increase compared with 2015, and the 2016 total is 153 more cases than in 2011, which previously had the highest number of cases (1,925 cases). In 2016, a total of 1,729 cases originated from Africa, and 1,061 (61.4%) of these came from West Africa. P. falciparum accounted for the majority of the infections (1,419 [68.2%]), followed by P. vivax (251 [12.1%]). Fewer than 2% of patients were infected by two species (23 [1.1%]). The infecting species was not reported or was undetermined in 10.8% of cases. CDC provided diagnos
{"title":"Malaria Surveillance - United States, 2016.","authors":"Kimberly E Mace, Paul M Arguin, Naomi W Lucchi, Kathrine R Tan","doi":"10.15585/mmwr.ss6805a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6805a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Malaria in humans is caused by intraerythrocytic protozoa of the genus Plasmodium. These parasites are transmitted by the bite of an infective female Anopheles species mosquito. The majority of malaria infections in the United States occur among persons who have traveled to regions with ongoing malaria transmission. However, malaria is occasionally acquired by persons who have not traveled out of the country through exposure to infected blood products, congenital transmission, laboratory exposure, or local mosquitoborne transmission. Malaria surveillance in the United States is conducted to provide information on its occurrence (e.g., temporal, geographic, and demographic), guide prevention and treatment recommendations for travelers and patients, and facilitate transmission control measures if locally acquired cases are identified.</p><p><strong>Period covered: </strong>This report summarizes confirmed malaria cases in persons with onset of illness in 2016 and summarizes trends in previous years.</p><p><strong>Description of system: </strong>Malaria cases diagnosed by blood film microscopy, polymerase chain reaction, or rapid diagnostic tests are reported to local and state health departments by health care providers or laboratory staff members. Case investigations are conducted by local and state health departments, and reports are transmitted to CDC through the National Malaria Surveillance System (NMSS), the National Notifiable Diseases Surveillance System (NNDSS), or direct CDC consultations. CDC reference laboratories provide diagnostic assistance and conduct antimalarial drug resistance marker testing on blood samples submitted by health care providers or local or state health departments. This report summarizes data from the integration of all NMSS and NNDSS cases, CDC reference laboratory reports, and CDC clinical consultations.</p><p><strong>Results: </strong>CDC received reports of 2,078 confirmed malaria cases with onset of symptoms in 2016, including two congenital cases, three cryptic cases, and one case acquired through blood transfusion. The number of malaria cases diagnosed in the United States has been increasing since the mid-1970s. However, in 2015 a decrease occurred in the number of cases, specifically from the region of West Africa, likely due to altered travel related to the Ebola virus disease outbreak. The number of confirmed malaria cases in 2016 represents a 36% increase compared with 2015, and the 2016 total is 153 more cases than in 2011, which previously had the highest number of cases (1,925 cases). In 2016, a total of 1,729 cases originated from Africa, and 1,061 (61.4%) of these came from West Africa. P. falciparum accounted for the majority of the infections (1,419 [68.2%]), followed by P. vivax (251 [12.1%]). Fewer than 2% of patients were infected by two species (23 [1.1%]). The infecting species was not reported or was undetermined in 10.8% of cases. CDC provided diagnos","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"68 5","pages":"1-35"},"PeriodicalIF":24.9,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37248924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saswati Sunderam, Dmitry M Kissin, Yujia Zhang, Suzanne G Folger, Sheree L Boulet, Lee Warner, William M Callaghan, Wanda D Barfield
<p><strong>Problem/condition: </strong>Since the first U.S. infant conceived with assisted reproductive technology (ART) was born in 1981, both the use of ART and the number of fertility clinics providing ART services have increased steadily in the United States. ART includes fertility treatments in which eggs or embryos are handled in the laboratory (i.e., in vitro fertilization [IVF] and related procedures). Although the majority of infants conceived through ART are singletons, women who undergo ART procedures are more likely than women who conceive naturally to deliver multiple-birth infants. Multiple births pose substantial risks for both mothers and infants, including obstetric complications, preterm delivery (<37 weeks), and low birthweight (<2,500 g). This report provides state-specific information for the United States (including the District of Columbia and Puerto Rico) on ART procedures performed in 2016 and compares birth outcomes that occurred in 2016 (resulting from ART procedures performed in 2015 and 2016) with outcomes for all infants born in the United States in 2016.</p><p><strong>Period covered: </strong>2016.</p><p><strong>Description of system: </strong>In 1995, CDC began collecting data on ART procedures performed in fertility clinics in the United States as mandated by the Fertility Clinic Success Rate and Certification Act of 1992 (FCSRCA) (Public Law 102-493 [October 24, 1992]). Data are collected through the National ART Surveillance System (NASS), a web-based data collection system developed by CDC. This report includes data from 52 reporting areas (the 50 states, the District of Columbia, and Puerto Rico).</p><p><strong>Results: </strong>In 2016, a total of 197,706 ART procedures (range: 162 in Wyoming to 24,030 in California) with the intent to transfer at least one embryo were performed in 463 U.S. fertility clinics and reported to CDC. These procedures resulted in 65,964 live-birth deliveries (range: 57 in Puerto Rico to 8,638 in California) and 76,892 infants born (range: 74 in Alaska to 9,885 in California). Nationally, the number of ART procedures performed per 1 million women of reproductive age (15-44 years), a proxy measure of the ART use rate, was 3,075. ART use rates exceeded the national rate in 14 reporting areas (Connecticut, Delaware, the District of Columbia, Hawaii, Illinois, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Utah, and Virginia). ART use exceeded 1.5 times the national rate in nine states, including three (Illinois, Massachusetts, and New Jersey) that also had comprehensive mandated health insurance coverage for ART procedures (i.e., coverage for at least four oocyte retrievals). Nationally, among ART transfer procedures for patients using fresh embryos from their own eggs, the average number of embryos transferred increased with increasing age (1.5 among women aged <35 years, 1.7 among women aged 35-37 years, and 2.2 among women aged >37 years).
{"title":"Assisted Reproductive Technology Surveillance - United States, 2016.","authors":"Saswati Sunderam, Dmitry M Kissin, Yujia Zhang, Suzanne G Folger, Sheree L Boulet, Lee Warner, William M Callaghan, Wanda D Barfield","doi":"10.15585/mmwr.ss6804a1","DOIUrl":"10.15585/mmwr.ss6804a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since the first U.S. infant conceived with assisted reproductive technology (ART) was born in 1981, both the use of ART and the number of fertility clinics providing ART services have increased steadily in the United States. ART includes fertility treatments in which eggs or embryos are handled in the laboratory (i.e., in vitro fertilization [IVF] and related procedures). Although the majority of infants conceived through ART are singletons, women who undergo ART procedures are more likely than women who conceive naturally to deliver multiple-birth infants. Multiple births pose substantial risks for both mothers and infants, including obstetric complications, preterm delivery (<37 weeks), and low birthweight (<2,500 g). This report provides state-specific information for the United States (including the District of Columbia and Puerto Rico) on ART procedures performed in 2016 and compares birth outcomes that occurred in 2016 (resulting from ART procedures performed in 2015 and 2016) with outcomes for all infants born in the United States in 2016.</p><p><strong>Period covered: </strong>2016.</p><p><strong>Description of system: </strong>In 1995, CDC began collecting data on ART procedures performed in fertility clinics in the United States as mandated by the Fertility Clinic Success Rate and Certification Act of 1992 (FCSRCA) (Public Law 102-493 [October 24, 1992]). Data are collected through the National ART Surveillance System (NASS), a web-based data collection system developed by CDC. This report includes data from 52 reporting areas (the 50 states, the District of Columbia, and Puerto Rico).</p><p><strong>Results: </strong>In 2016, a total of 197,706 ART procedures (range: 162 in Wyoming to 24,030 in California) with the intent to transfer at least one embryo were performed in 463 U.S. fertility clinics and reported to CDC. These procedures resulted in 65,964 live-birth deliveries (range: 57 in Puerto Rico to 8,638 in California) and 76,892 infants born (range: 74 in Alaska to 9,885 in California). Nationally, the number of ART procedures performed per 1 million women of reproductive age (15-44 years), a proxy measure of the ART use rate, was 3,075. ART use rates exceeded the national rate in 14 reporting areas (Connecticut, Delaware, the District of Columbia, Hawaii, Illinois, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Utah, and Virginia). ART use exceeded 1.5 times the national rate in nine states, including three (Illinois, Massachusetts, and New Jersey) that also had comprehensive mandated health insurance coverage for ART procedures (i.e., coverage for at least four oocyte retrievals). Nationally, among ART transfer procedures for patients using fresh embryos from their own eggs, the average number of embryos transferred increased with increasing age (1.5 among women aged <35 years, 1.7 among women aged 35-37 years, and 2.2 among women aged >37 years). ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"68 4","pages":"1-23"},"PeriodicalIF":24.9,"publicationDate":"2019-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493873/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40547700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shannon M Casillas, Rebecca L Hall, Barbara L Herwaldt
<p><strong>Problem/condition: </strong>Cyclosporiasis is an intestinal illness caused by the parasite Cyclospora cayetanensis, which is transmissible by ingestion of fecally contaminated food or water. Cyclosporiasis is most common in tropical and subtropical regions of the world. In the United States, foodborne outbreaks of cyclosporiasis have been linked to various types of imported fresh produce (e.g., basil, raspberries, and snow peas). Validated molecular typing tools, which could facilitate detection and investigation of outbreaks, are not yet available for C. cayetanensis.</p><p><strong>Period covered: </strong>2011-2015.</p><p><strong>Description of system: </strong>CDC has been conducting national surveillance for cyclosporiasis since it became a nationally notifiable disease in January 1999. As of 2015, cyclosporiasis was a reportable condition in 42 states, the District of Columbia, and New York City (NYC). Health departments voluntarily notify CDC of cases of cyclosporiasis through the National Notifiable Diseases Surveillance System and submit additional case information using the CDC cyclosporiasis case report form or the Cyclosporiasis National Hypothesis Generating Questionnaire (CNHGQ).</p><p><strong>Results: </strong>For the 2011-2015 surveillance period, CDC was notified by 37 states and NYC of 2,207 cases of cyclosporiasis, including 1,988 confirmed cases (90.1%) and 219 probable cases (9.9%). The annual number of reported cases ranged from 130 in 2012 to 798 in 2013; the annual population-adjusted incidence rate ranged from 0.05 cases per 100,000 persons in 2012 to 0.29 in 2013. A total of 415 patients (18.8%) had a documented history of international travel during the 14 days before illness onset, 1,384 (62.7%) did not have a history of international travel, and 408 (18.5%) had an unknown travel history. Among the 1,359 domestically acquired cases with available information about illness onset, 1,263 (92.9%) occurred among persons who became ill during May-August. During 2011-2015, a total of 10 outbreaks of cyclosporiasis associated with 438 reported cases were investigated; a median of 21 cases were reported per outbreak (range: eight to 162). A food vehicle of infection (i.e., a food item or ingredient thereof) was identified (or suspected) for at least five of the 10 outbreaks; the food vehicles included a berry salad (one outbreak), cilantro imported from Mexico (at least three outbreaks), and a prepackaged salad mix from Mexico (one outbreak).</p><p><strong>Interpretation: </strong>Cyclosporiasis continues to be a U.S. public health concern, with seasonal increases in reported cases during spring and summer months. The majority of cases reported for this 5-year surveillance period occurred among persons without a history of international travel who became ill during May-August. Many of the seemingly sporadic domestically acquired cases might have been associated with identified or unidentified outbreaks; however, those
{"title":"Cyclosporiasis Surveillance - United States, 2011-2015.","authors":"Shannon M Casillas, Rebecca L Hall, Barbara L Herwaldt","doi":"10.15585/mmwr.ss6803a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6803a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Cyclosporiasis is an intestinal illness caused by the parasite Cyclospora cayetanensis, which is transmissible by ingestion of fecally contaminated food or water. Cyclosporiasis is most common in tropical and subtropical regions of the world. In the United States, foodborne outbreaks of cyclosporiasis have been linked to various types of imported fresh produce (e.g., basil, raspberries, and snow peas). Validated molecular typing tools, which could facilitate detection and investigation of outbreaks, are not yet available for C. cayetanensis.</p><p><strong>Period covered: </strong>2011-2015.</p><p><strong>Description of system: </strong>CDC has been conducting national surveillance for cyclosporiasis since it became a nationally notifiable disease in January 1999. As of 2015, cyclosporiasis was a reportable condition in 42 states, the District of Columbia, and New York City (NYC). Health departments voluntarily notify CDC of cases of cyclosporiasis through the National Notifiable Diseases Surveillance System and submit additional case information using the CDC cyclosporiasis case report form or the Cyclosporiasis National Hypothesis Generating Questionnaire (CNHGQ).</p><p><strong>Results: </strong>For the 2011-2015 surveillance period, CDC was notified by 37 states and NYC of 2,207 cases of cyclosporiasis, including 1,988 confirmed cases (90.1%) and 219 probable cases (9.9%). The annual number of reported cases ranged from 130 in 2012 to 798 in 2013; the annual population-adjusted incidence rate ranged from 0.05 cases per 100,000 persons in 2012 to 0.29 in 2013. A total of 415 patients (18.8%) had a documented history of international travel during the 14 days before illness onset, 1,384 (62.7%) did not have a history of international travel, and 408 (18.5%) had an unknown travel history. Among the 1,359 domestically acquired cases with available information about illness onset, 1,263 (92.9%) occurred among persons who became ill during May-August. During 2011-2015, a total of 10 outbreaks of cyclosporiasis associated with 438 reported cases were investigated; a median of 21 cases were reported per outbreak (range: eight to 162). A food vehicle of infection (i.e., a food item or ingredient thereof) was identified (or suspected) for at least five of the 10 outbreaks; the food vehicles included a berry salad (one outbreak), cilantro imported from Mexico (at least three outbreaks), and a prepackaged salad mix from Mexico (one outbreak).</p><p><strong>Interpretation: </strong>Cyclosporiasis continues to be a U.S. public health concern, with seasonal increases in reported cases during spring and summer months. The majority of cases reported for this 5-year surveillance period occurred among persons without a history of international travel who became ill during May-August. Many of the seemingly sporadic domestically acquired cases might have been associated with identified or unidentified outbreaks; however, those","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"68 3","pages":"1-16"},"PeriodicalIF":24.9,"publicationDate":"2019-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476303/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37165933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deborah L Christensen, Matthew J Maenner, Deborah Bilder, John N Constantino, Julie Daniels, Maureen S Durkin, Robert T Fitzgerald, Margaret Kurzius-Spencer, Sydney D Pettygrove, Cordelia Robinson, Josephine Shenouda, Tiffany White, Walter Zahorodny, Karen Pazol, Patricia Dietz
<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD) is estimated to affect up to 3% of children in the United States. Public health surveillance for ASD among children aged 4 years provides information about trends in prevalence, characteristics of children with ASD, and progress made toward decreasing the age of identification of ASD so that evidence-based interventions can begin as early as possible.</p><p><strong>Period covered: </strong>2010, 2012, and 2014.</p><p><strong>Description of system: </strong>The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network is an active surveillance system that provides biennial estimates of the prevalence and characteristics of ASD among children aged 4 years whose parents or guardians lived within designated sites. During surveillance years 2010, 2012, or 2014, data were collected in seven sites: Arizona, Colorado, Missouri, New Jersey, North Carolina, Utah, and Wisconsin. The Early ADDM Network is a subset of the broader ADDM Network (which included 13 total sites over the same period) that has been conducting ASD surveillance among children aged 8 years since 2000. Each Early ADDM site covers a smaller geographic area than the broader ADDM Network. Early ADDM ASD surveillance is conducted in two phases using the same methods and project staff members as the ADDM Network. The first phase consists of reviewing and abstracting data from children's records, including comprehensive evaluations performed by community professionals. Sources for these evaluations include general pediatric health clinics and specialized programs for children with developmental disabilities. In addition, special education records (for children aged ≥3 years) were reviewed for Arizona, Colorado, New Jersey, North Carolina, and Utah, and early intervention records (for children aged 0 to <3 years) were reviewed for New Jersey, North Carolina, Utah, and Wisconsin; in Wisconsin, early intervention records were reviewed for 2014 only. The second phase involves a review of the abstracted evaluations by trained clinicians using a standardized case definition and method. A child is considered to meet the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors consistent with the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR) diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (PDD-NOS, including atypical autism), or Asperger disorder (2010, 2012, and 2014). For 2014 only, prevalence estimates based on surveillance case definitions according to DSM-IV-TR and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) were compared. This report provides estimates of overall ASD prevalence and prevalence by sex and race/ethnicity; characteristics of children age
{"title":"Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Seven Sites, United States, 2010, 2012, and 2014.","authors":"Deborah L Christensen, Matthew J Maenner, Deborah Bilder, John N Constantino, Julie Daniels, Maureen S Durkin, Robert T Fitzgerald, Margaret Kurzius-Spencer, Sydney D Pettygrove, Cordelia Robinson, Josephine Shenouda, Tiffany White, Walter Zahorodny, Karen Pazol, Patricia Dietz","doi":"10.15585/mmwr.ss6802a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6802a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD) is estimated to affect up to 3% of children in the United States. Public health surveillance for ASD among children aged 4 years provides information about trends in prevalence, characteristics of children with ASD, and progress made toward decreasing the age of identification of ASD so that evidence-based interventions can begin as early as possible.</p><p><strong>Period covered: </strong>2010, 2012, and 2014.</p><p><strong>Description of system: </strong>The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network is an active surveillance system that provides biennial estimates of the prevalence and characteristics of ASD among children aged 4 years whose parents or guardians lived within designated sites. During surveillance years 2010, 2012, or 2014, data were collected in seven sites: Arizona, Colorado, Missouri, New Jersey, North Carolina, Utah, and Wisconsin. The Early ADDM Network is a subset of the broader ADDM Network (which included 13 total sites over the same period) that has been conducting ASD surveillance among children aged 8 years since 2000. Each Early ADDM site covers a smaller geographic area than the broader ADDM Network. Early ADDM ASD surveillance is conducted in two phases using the same methods and project staff members as the ADDM Network. The first phase consists of reviewing and abstracting data from children's records, including comprehensive evaluations performed by community professionals. Sources for these evaluations include general pediatric health clinics and specialized programs for children with developmental disabilities. In addition, special education records (for children aged ≥3 years) were reviewed for Arizona, Colorado, New Jersey, North Carolina, and Utah, and early intervention records (for children aged 0 to <3 years) were reviewed for New Jersey, North Carolina, Utah, and Wisconsin; in Wisconsin, early intervention records were reviewed for 2014 only. The second phase involves a review of the abstracted evaluations by trained clinicians using a standardized case definition and method. A child is considered to meet the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors consistent with the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR) diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (PDD-NOS, including atypical autism), or Asperger disorder (2010, 2012, and 2014). For 2014 only, prevalence estimates based on surveillance case definitions according to DSM-IV-TR and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) were compared. This report provides estimates of overall ASD prevalence and prevalence by sex and race/ethnicity; characteristics of children age","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"68 2","pages":"1-19"},"PeriodicalIF":24.9,"publicationDate":"2019-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476327/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37141776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauren E Lipcsei, Laura G Brown, Erik W Coleman, Adam Kramer, Matthew Masters, Beth C Wittry, Kirsten Reed, Vincent J Radke
<p><strong>Problem/condition: </strong>State and local public health departments report hundreds of foodborne illness outbreaks each year to CDC and are primarily responsible for investigations of these outbreaks. Typically, investigations involve epidemiology, laboratory, and environmental health components. Health departments voluntarily report epidemiologic and laboratory data from their foodborne illness outbreak investigations to CDC through the Foodborne Disease Outbreak Surveillance System (FDOSS); however, minimal environmental health data from outbreak investigations are reported to FDOSS.</p><p><strong>Period covered: </strong>2014-2016.</p><p><strong>Description of system: </strong>In 2014, CDC launched the National Environmental Assessment Reporting System (NEARS) to complement FDOSS surveillance and to use these data to enhance prevention efforts. State and local health departments voluntarily report data from their foodborne illness outbreak investigations of retail food establishments. These data include characteristics of foodborne illness outbreaks (e.g., agent), characteristics of establishments with outbreaks (e.g., number of meals served daily), food safety policies and practices of these establishments (e.g., glove use policies), and characteristics of outbreak investigations (e.g., timeliness of investigation activities). NEARS is the only available data source that includes characteristics of retail establishments with foodborne illness outbreaks.</p><p><strong>Results: </strong>During 2014-2016, a total of 16 state and local public health departments reported data to NEARS on 404 foodborne illness outbreaks at retail establishments. The majority of outbreaks with a suspected or confirmed agent were caused by norovirus (61.1%). The majority of outbreaks with identified contributing factors had at least one factor associated with food contamination by a worker who was ill or infectious (58.6%). Almost half (47.4%) of establishments with outbreaks had a written policy excluding ill workers from handling food or working. Approximately one third (27.7%) had a written disposable glove use policy. Paid sick leave was available for at least one worker in 38.3% of establishments. For most establishments with outbreaks (68.7%), environmental health investigators initiated their component of the investigation soon after learning about the outbreak (i.e., the same day) and completed their component in one or two visits to the establishment (75.0%). However, in certain instances, contacting the establishment and completing the environmental health component of the investigation occurred much later (>8 days).</p><p><strong>Interpretation: </strong>Most outbreaks reported to NEARS were caused by norovirus, and contamination of food by workers who were ill or infectious contributed to more than half of outbreaks with contributing factors; these findings are consistent with findings from other national outbreak data sets and highlight the
{"title":"Foodborne Illness Outbreaks at Retail Establishments - National Environmental Assessment Reporting System, 16 State and Local Health Departments, 2014-2016.","authors":"Lauren E Lipcsei, Laura G Brown, Erik W Coleman, Adam Kramer, Matthew Masters, Beth C Wittry, Kirsten Reed, Vincent J Radke","doi":"10.15585/mmwr.ss6801a1","DOIUrl":"10.15585/mmwr.ss6801a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>State and local public health departments report hundreds of foodborne illness outbreaks each year to CDC and are primarily responsible for investigations of these outbreaks. Typically, investigations involve epidemiology, laboratory, and environmental health components. Health departments voluntarily report epidemiologic and laboratory data from their foodborne illness outbreak investigations to CDC through the Foodborne Disease Outbreak Surveillance System (FDOSS); however, minimal environmental health data from outbreak investigations are reported to FDOSS.</p><p><strong>Period covered: </strong>2014-2016.</p><p><strong>Description of system: </strong>In 2014, CDC launched the National Environmental Assessment Reporting System (NEARS) to complement FDOSS surveillance and to use these data to enhance prevention efforts. State and local health departments voluntarily report data from their foodborne illness outbreak investigations of retail food establishments. These data include characteristics of foodborne illness outbreaks (e.g., agent), characteristics of establishments with outbreaks (e.g., number of meals served daily), food safety policies and practices of these establishments (e.g., glove use policies), and characteristics of outbreak investigations (e.g., timeliness of investigation activities). NEARS is the only available data source that includes characteristics of retail establishments with foodborne illness outbreaks.</p><p><strong>Results: </strong>During 2014-2016, a total of 16 state and local public health departments reported data to NEARS on 404 foodborne illness outbreaks at retail establishments. The majority of outbreaks with a suspected or confirmed agent were caused by norovirus (61.1%). The majority of outbreaks with identified contributing factors had at least one factor associated with food contamination by a worker who was ill or infectious (58.6%). Almost half (47.4%) of establishments with outbreaks had a written policy excluding ill workers from handling food or working. Approximately one third (27.7%) had a written disposable glove use policy. Paid sick leave was available for at least one worker in 38.3% of establishments. For most establishments with outbreaks (68.7%), environmental health investigators initiated their component of the investigation soon after learning about the outbreak (i.e., the same day) and completed their component in one or two visits to the establishment (75.0%). However, in certain instances, contacting the establishment and completing the environmental health component of the investigation occurred much later (>8 days).</p><p><strong>Interpretation: </strong>Most outbreaks reported to NEARS were caused by norovirus, and contamination of food by workers who were ill or infectious contributed to more than half of outbreaks with contributing factors; these findings are consistent with findings from other national outbreak data sets and highlight the ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"68 1","pages":"1-20"},"PeriodicalIF":37.3,"publicationDate":"2019-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392478/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36986287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hammad Ali, Catherine Kiama, Lilly Muthoni, Anthony Waruru, Peter W Young, Emily Zielinski-Gutierrez, Wanjiru Waruiru, Richelle Harklerode, Andrea A Kim, Mahesh Swaminathan, Kevin M De Cock, Joyce Wamicwe
<p><strong>Problem/condition: </strong>Use of human immunodeficiency virus (HIV)-mortality surveillance data can help public health officials monitor, evaluate, and improve HIV treatment programs. Many high-income countries have high-coverage civil registration and vital statistics (CRVS) systems linked to case-based HIV surveillance on which to base HIV mortality estimates. However, in the absence of comprehensive CRVS systems in low- and medium-income countries, such as Kenya, mortuary surveillance can be used to understand the occurrence of HIV infection among cadavers. In 2015, a pilot HIV-related mortuary surveillance system was implemented in the two largest mortuaries in Nairobi, Kenya. CDC conducted an evaluation to assess performance attributes and identify strengths and weaknesses of the surveillance system pilot.</p><p><strong>Period covered: </strong>Data collection: January 29-March 3, 2015; evaluation: November 2015.</p><p><strong>Description of the system: </strong>The surveillance system objectives were to determine HIV positivity among cadavers at two mortuary sites in Nairobi, Kenya, and to determine annual cause-specific and HIV-specific mortality rates among the cadavers. Cadavers of persons aged ≥15 years at death admitted to either mortuary during a 33-day period were included. Demographic information and place and time of death were entered into a surveillance register. Cardiac blood was collected using transthoracic aspiration, and blood specimens were tested for HIV in a central laboratory. Causes of death were abstracted from mortuary and hospital records. Of the 807 cadavers brought to the mortuaries, 610 (75.6%) had an HIV test result available. The overall unadjusted HIV-positivity rate was 19.5% (119/610), which differed significantly by sex (14.6% among men versus 29.5% among women).</p><p><strong>Evaluation: </strong>The evaluation was conducted using CDC guidelines for evaluating public health surveillance systems. The attributes of simplicity, flexibility, data quality (completeness and validity), acceptability, sensitivity, predictive value positive, representativeness, timeliness, and stability were examined. The evaluation steps included review of the surveillance system documents, in-depth interviews with 20 key informants (surveillance system staff, including mortuary and laboratory staff, and stakeholders involved in funding or implementation), and review of the surveillance database.</p><p><strong>Results and interpretation: </strong>Implementation of the pilot mortuary surveillance system was complex because of extensive paperwork and the need to collect and process specimens outside of business hours. However, the flexibility of the system accommodated multiple changes during implementation, including changes in specimen collection techniques and data collection tools. Acceptability was initially low among the mortuary staff but increased after concerns regarding workload were resolved. Timeliness of spe
问题/条件：使用人体免疫缺陷病毒（HIV）死亡率监测数据可以帮助公共卫生官员监测、评估和改进 HIV 治疗计划。许多高收入国家都拥有高覆盖率的民事登记和生命统计系统（CRVS），该系统与以病例为基础的 HIV 监测相连接，可作为 HIV 死亡率估算的依据。然而，在肯尼亚等中低收入国家，由于缺乏全面的民事登记和生命统计系统，可以利用停尸房监测来了解尸体感染 HIV 的情况。2015 年，肯尼亚内罗毕两个最大的停尸房试点实施了与 HIV 相关的停尸房监测系统。疾病预防控制中心进行了一项评估，以评估监测系统试点的性能属性并确定其优缺点：数据收集：数据收集：2015 年 1 月 29 日至 3 月 3 日；评估：2015 年 11 月：系统描述：该监测系统的目标是确定肯尼亚内罗毕两个停尸点尸体中的 HIV 阳性率，并确定尸体中每年的特定病因死亡率和特定 HIV 死亡率。在 33 天的时间里，两个停尸房中任何一个停尸房接收的死亡时年龄≥15 岁的尸体都包括在内。人口统计学信息、死亡地点和时间被输入监控登记册。采用经胸抽吸法采集心血，并在中心实验室对血液标本进行艾滋病病毒检测。死亡原因摘自停尸房和医院记录。在送往停尸房的 807 具尸体中，有 610 具（75.6%）有 HIV 检测结果。未经调整的总体 HIV 阳性率为 19.5%（119/610），性别差异很大（男性为 14.6%，女性为 29.5%）：评估采用美国疾病预防控制中心的公共卫生监测系统评估指南进行。对简易性、灵活性、数据质量（完整性和有效性）、可接受性、灵敏度、阳性预测值、代表性、及时性和稳定性等属性进行了检查。评估步骤包括审查监测系统文件、对 20 名关键信息提供者（监测系统工作人员，包括停尸房和实验室工作人员，以及参与资助或实施的利益相关者）进行深入访谈，以及审查监测数据库：试点停尸房监控系统的实施非常复杂，因为需要大量的文书工作，而且需要在非工作时间收集和处理标本。然而，该系统的灵活性使其在实施过程中能够适应多种变化，包括标本采集技术和数据收集工具的变化。停尸房工作人员最初对该系统的接受度不高，但在解决了工作量方面的顾虑后，接受度有所提高。由于很少记录死亡时间，因此无法衡量标本采集的及时性。除死因（46.5%）外，系统提供数据的完整性普遍较高。虽然内罗毕最大的两家停尸房被包括在内，但监测系统可能并不代表内罗毕的人口。其中一个停尸房隶属于国家转诊医院，包括入院病人的尸体，一些死亡可能发生在内罗毕以外的地方，而且数据只收集了一个月：公共卫生行动：停尸房监测可提供尸体中艾滋病毒阳性和与艾滋病毒相关的死亡率数据，而在大多数撒哈拉以南非洲国家，这些数据无法从其他来源获得。提供这些死亡率数据有助于说明一个国家在实现流行病控制和联合国艾滋病毒/艾滋病联合规划署 95-95-95 目标方面的进展情况。为了解高发地区的艾滋病毒死亡率，正在肯尼亚西部推广停尸房监测系统。虽然这是一个低成本系统，但其可持续性取决于外部供资，因为停尸房监测尚未纳入肯尼亚国家艾滋病战略框架。
{"title":"Evaluation of an HIV-Related Mortuary Surveillance System - Nairobi, Kenya, Two Sites, 2015.","authors":"Hammad Ali, Catherine Kiama, Lilly Muthoni, Anthony Waruru, Peter W Young, Emily Zielinski-Gutierrez, Wanjiru Waruiru, Richelle Harklerode, Andrea A Kim, Mahesh Swaminathan, Kevin M De Cock, Joyce Wamicwe","doi":"10.15585/mmwr.ss6714a1.","DOIUrl":"10.15585/mmwr.ss6714a1.","url":null,"abstract":"<p><strong>Problem/condition: </strong>Use of human immunodeficiency virus (HIV)-mortality surveillance data can help public health officials monitor, evaluate, and improve HIV treatment programs. Many high-income countries have high-coverage civil registration and vital statistics (CRVS) systems linked to case-based HIV surveillance on which to base HIV mortality estimates. However, in the absence of comprehensive CRVS systems in low- and medium-income countries, such as Kenya, mortuary surveillance can be used to understand the occurrence of HIV infection among cadavers. In 2015, a pilot HIV-related mortuary surveillance system was implemented in the two largest mortuaries in Nairobi, Kenya. CDC conducted an evaluation to assess performance attributes and identify strengths and weaknesses of the surveillance system pilot.</p><p><strong>Period covered: </strong>Data collection: January 29-March 3, 2015; evaluation: November 2015.</p><p><strong>Description of the system: </strong>The surveillance system objectives were to determine HIV positivity among cadavers at two mortuary sites in Nairobi, Kenya, and to determine annual cause-specific and HIV-specific mortality rates among the cadavers. Cadavers of persons aged ≥15 years at death admitted to either mortuary during a 33-day period were included. Demographic information and place and time of death were entered into a surveillance register. Cardiac blood was collected using transthoracic aspiration, and blood specimens were tested for HIV in a central laboratory. Causes of death were abstracted from mortuary and hospital records. Of the 807 cadavers brought to the mortuaries, 610 (75.6%) had an HIV test result available. The overall unadjusted HIV-positivity rate was 19.5% (119/610), which differed significantly by sex (14.6% among men versus 29.5% among women).</p><p><strong>Evaluation: </strong>The evaluation was conducted using CDC guidelines for evaluating public health surveillance systems. The attributes of simplicity, flexibility, data quality (completeness and validity), acceptability, sensitivity, predictive value positive, representativeness, timeliness, and stability were examined. The evaluation steps included review of the surveillance system documents, in-depth interviews with 20 key informants (surveillance system staff, including mortuary and laboratory staff, and stakeholders involved in funding or implementation), and review of the surveillance database.</p><p><strong>Results and interpretation: </strong>Implementation of the pilot mortuary surveillance system was complex because of extensive paperwork and the need to collect and process specimens outside of business hours. However, the flexibility of the system accommodated multiple changes during implementation, including changes in specimen collection techniques and data collection tools. Acceptability was initially low among the mortuary staff but increased after concerns regarding workload were resolved. Timeliness of spe","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 14","pages":"1-12"},"PeriodicalIF":37.3,"publicationDate":"2018-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309216/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36848418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tara C Jatlaoui, Maegan E Boutot, Michele G Mandel, Maura K Whiteman, Angeline Ti, Emily Petersen, Karen Pazol
<p><strong>Problem/condition: </strong>Since 1969, CDC has conducted abortion surveillance to document the number and characteristics of women obtaining legal induced abortions in the United States.</p><p><strong>Period covered: </strong>2015.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies of 52 reporting areas (the 50 states, the District of Columbia, and New York City). The reporting areas provide this information voluntarily. For 2015, data were received from 49 reporting areas. Abortion data provided by these 49 reporting areas for each year during 2006-2015 were used in trend analyses. Census and natality data were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births), respectively.</p><p><strong>Results: </strong>A total of 638,169 abortions for 2015 were reported to CDC from 49 reporting areas. Among these 49 reporting areas, the abortion rate for 2015 was 11.8 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 188 abortions per 1,000 live births. From 2014 to 2015, the total number of reported abortions decreased 2% (from 652,639), the abortion rate decreased 2% (from 12.1 abortions per 1,000 women aged 15-44 years), and the abortion ratio decreased 2% (from 192 abortions per 1,000 live births). From 2006 to 2015, the total number of reported abortions decreased 24% (from 842,855), the abortion rate decreased 26% (from 15.9 abortions per 1,000 women aged 15-44 years), and the abortion ratio decreased 19% (from 233 abortions per 1,000 live births). In 2015, all three measures reached their lowest level for the entire period of analysis (2006-2015). In 2015 and throughout the period of analysis, women in their 20s accounted for the majority of abortions and had the highest abortion rates; women aged ≥30 years accounted for a smaller percentage of abortions and had lower abortion rates. In 2015, women aged 20-24 and 25-29 years accounted for 31.1% and 27.6% of all reported abortions, respectively, and had abortion rates of 19.9 and 17.9 abortions per 1,000 women aged 20-24 and 25-29 years, respectively. In contrast, women aged 30-34, 35-39, and ≥40 years accounted for 17.7%, 10.0%, and 3.5% of all reported abortions, respectively, and had abortion rates of 11.6, 7.0, and 2.5 abortions per 1,000 women aged 30-34, 35-39, and ≥40 years, respectively. From 2006 to 2015, the abortion rate decreased among women in all age groups. In 2015, adolescents aged <15 and 15-19 years accounted for 0.3% and 9.8% of all reported abortions, respectively, and had abortion rates of 0.5 and 6.7 abortions per 1,000 adolescents aged <15 and 15-19 years, respectively. From 2006 to 2015, the percentage of abortions accounted for by adolescents aged 15-19 years decreased 41%, and their abortion rate decreased 54%. This decrease in abortion rate was greater than the decreases for women in any
{"title":"Abortion Surveillance - United States, 2015.","authors":"Tara C Jatlaoui, Maegan E Boutot, Michele G Mandel, Maura K Whiteman, Angeline Ti, Emily Petersen, Karen Pazol","doi":"10.15585/mmwr.ss6713a1","DOIUrl":"10.15585/mmwr.ss6713a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since 1969, CDC has conducted abortion surveillance to document the number and characteristics of women obtaining legal induced abortions in the United States.</p><p><strong>Period covered: </strong>2015.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies of 52 reporting areas (the 50 states, the District of Columbia, and New York City). The reporting areas provide this information voluntarily. For 2015, data were received from 49 reporting areas. Abortion data provided by these 49 reporting areas for each year during 2006-2015 were used in trend analyses. Census and natality data were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births), respectively.</p><p><strong>Results: </strong>A total of 638,169 abortions for 2015 were reported to CDC from 49 reporting areas. Among these 49 reporting areas, the abortion rate for 2015 was 11.8 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 188 abortions per 1,000 live births. From 2014 to 2015, the total number of reported abortions decreased 2% (from 652,639), the abortion rate decreased 2% (from 12.1 abortions per 1,000 women aged 15-44 years), and the abortion ratio decreased 2% (from 192 abortions per 1,000 live births). From 2006 to 2015, the total number of reported abortions decreased 24% (from 842,855), the abortion rate decreased 26% (from 15.9 abortions per 1,000 women aged 15-44 years), and the abortion ratio decreased 19% (from 233 abortions per 1,000 live births). In 2015, all three measures reached their lowest level for the entire period of analysis (2006-2015). In 2015 and throughout the period of analysis, women in their 20s accounted for the majority of abortions and had the highest abortion rates; women aged ≥30 years accounted for a smaller percentage of abortions and had lower abortion rates. In 2015, women aged 20-24 and 25-29 years accounted for 31.1% and 27.6% of all reported abortions, respectively, and had abortion rates of 19.9 and 17.9 abortions per 1,000 women aged 20-24 and 25-29 years, respectively. In contrast, women aged 30-34, 35-39, and ≥40 years accounted for 17.7%, 10.0%, and 3.5% of all reported abortions, respectively, and had abortion rates of 11.6, 7.0, and 2.5 abortions per 1,000 women aged 30-34, 35-39, and ≥40 years, respectively. From 2006 to 2015, the abortion rate decreased among women in all age groups. In 2015, adolescents aged <15 and 15-19 years accounted for 0.3% and 9.8% of all reported abortions, respectively, and had abortion rates of 0.5 and 6.7 abortions per 1,000 adolescents aged <15 and 15-19 years, respectively. From 2006 to 2015, the percentage of abortions accounted for by adolescents aged 15-19 years decreased 41%, and their abortion rate decreased 54%. This decrease in abortion rate was greater than the decreases for women in any","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 13","pages":"1-45"},"PeriodicalIF":24.9,"publicationDate":"2018-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289084/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36694261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tara C Jatlaoui, Jill Shah, Michele G Mandel, Jamie W Krashin, Danielle B Suchdev, Denise J Jamieson, Karen Pazol
<p><strong>Problem/condition: </strong>Since 1969, CDC has conducted abortion surveillance to document the number and characteristics of women obtaining legal induced abortions in the United States.</p><p><strong>Period covered: </strong>2014.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies of 52 reporting areas (the 50 states, the District of Columbia, and New York City). The reporting areas provide this information voluntarily. For 2014, data were received from 49 reporting areas. For trend analysis, abortion data were evaluated from 48 areas that reported data every year during 2005-2014. Census and natality data, respectively, were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births).</p><p><strong>Results: </strong>A total of 652,639 abortions were reported to CDC for 2014. Of these abortions, 98.4% were from the 48 reporting areas that provided data every year during 2005-2014. Among these 48 reporting areas, the abortion rate for 2014 was 12.1 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 193 abortions per 1,000 live births. From 2013 to 2014, the total number and rate of reported abortions decreased 2%, and the ratio decreased 3%. From 2005 to 2014, the total number, rate, and ratio of reported abortions decreased 21%, 22%, and 18%, respectively. In 2014, all three measures reached their lowest level for the entire period of analysis (2005-2014). In 2014 and throughout the period of analysis, women in their 20s accounted for the majority of abortions and had the highest abortion rates; women in their 30s and older accounted for a much smaller percentage of abortions and had lower abortion rates. In 2014, women aged 20-24 and 25-29 years accounted for 32.2% and 26.7% of all reported abortions, respectively, and had abortion rates of 21.3 and 18.4 abortions per 1,000 women aged 20-24 and 25-29 years, respectively. In contrast, women aged 30-34, 35-39, and ≥40 years accounted for 17.1%, 9.7%, and 3.6% of all reported abortions, respectively, and had abortion rates of 11.9, 7.2, and 2.6 abortions per 1,000 women aged 30-34 years, 35-39 years, and ≥40 years, respectively. From 2005 to 2014, the abortion rate decreased among women aged 20-24, 25-29, 30-34, and 35-39 years by 27%, 16%, 12%, and 5%, respectively, but increased 4% among women aged ≥40 years. In 2014, adolescents aged <15 and 15-19 years accounted for 0.3% and 10.4% of all reported abortions, respectively, and had abortion rates of 0.5 and 7.5 abortions per 1,000 adolescents aged <15 and 15-19 years, respectively. From 2005 to 2014, the percentage of abortions accounted for by adolescents aged 15-19 years decreased 38%, and their abortion rate decreased 49%. These decreases were greater than the decreases for women in any older age group. In contrast to the percentage distribution of abortions and abo
{"title":"Abortion Surveillance - United States, 2014.","authors":"Tara C Jatlaoui, Jill Shah, Michele G Mandel, Jamie W Krashin, Danielle B Suchdev, Denise J Jamieson, Karen Pazol","doi":"10.15585/mmwr.ss6625a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6625a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Since 1969, CDC has conducted abortion surveillance to document the number and characteristics of women obtaining legal induced abortions in the United States.</p><p><strong>Period covered: </strong>2014.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies of 52 reporting areas (the 50 states, the District of Columbia, and New York City). The reporting areas provide this information voluntarily. For 2014, data were received from 49 reporting areas. For trend analysis, abortion data were evaluated from 48 areas that reported data every year during 2005-2014. Census and natality data, respectively, were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births).</p><p><strong>Results: </strong>A total of 652,639 abortions were reported to CDC for 2014. Of these abortions, 98.4% were from the 48 reporting areas that provided data every year during 2005-2014. Among these 48 reporting areas, the abortion rate for 2014 was 12.1 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 193 abortions per 1,000 live births. From 2013 to 2014, the total number and rate of reported abortions decreased 2%, and the ratio decreased 3%. From 2005 to 2014, the total number, rate, and ratio of reported abortions decreased 21%, 22%, and 18%, respectively. In 2014, all three measures reached their lowest level for the entire period of analysis (2005-2014). In 2014 and throughout the period of analysis, women in their 20s accounted for the majority of abortions and had the highest abortion rates; women in their 30s and older accounted for a much smaller percentage of abortions and had lower abortion rates. In 2014, women aged 20-24 and 25-29 years accounted for 32.2% and 26.7% of all reported abortions, respectively, and had abortion rates of 21.3 and 18.4 abortions per 1,000 women aged 20-24 and 25-29 years, respectively. In contrast, women aged 30-34, 35-39, and ≥40 years accounted for 17.1%, 9.7%, and 3.6% of all reported abortions, respectively, and had abortion rates of 11.9, 7.2, and 2.6 abortions per 1,000 women aged 30-34 years, 35-39 years, and ≥40 years, respectively. From 2005 to 2014, the abortion rate decreased among women aged 20-24, 25-29, 30-34, and 35-39 years by 27%, 16%, 12%, and 5%, respectively, but increased 4% among women aged ≥40 years. In 2014, adolescents aged <15 and 15-19 years accounted for 0.3% and 10.4% of all reported abortions, respectively, and had abortion rates of 0.5 and 7.5 abortions per 1,000 adolescents aged <15 and 15-19 years, respectively. From 2005 to 2014, the percentage of abortions accounted for by adolescents aged 15-19 years decreased 38%, and their abortion rate decreased 49%. These decreases were greater than the decreases for women in any older age group. In contrast to the percentage distribution of abortions and abo","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"66 25","pages":"1-44"},"PeriodicalIF":24.9,"publicationDate":"2018-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.15585/mmwr.ss6625a1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36694260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deborah L Christensen, Kim Van Naarden Braun, Jon Baio, Deborah Bilder, Jane Charles, John N Constantino, Julie Daniels, Maureen S Durkin, Robert T Fitzgerald, Margaret Kurzius-Spencer, Li-Ching Lee, Sydney Pettygrove, Cordelia Robinson, Eldon Schulz, Chris Wells, Martha S Wingate, Walter Zahorodny, Marshalyn Yeargin-Allsopp
<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2012.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence and characteristics of ASD among children aged 8 years whose parents or guardians reside in 11 ADDM Network sites in the United States (Arkansas, Arizona, Colorado, Georgia, Maryland, Missouri, New Jersey, North Carolina, South Carolina, Utah, and Wisconsin). Surveillance to determine ASD case status is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional service providers in the community. Data sources identified for record review are categorized as either 1) education source type, including developmental evaluations to determine eligibility for special education services or 2) health care source type, including diagnostic and developmental evaluations. The second phase involves the review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors that are consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides ASD prevalence estimates for children aged 8 years living in catchment areas of the ADDM Network sites in 2012, overall and stratified by sex, race/ethnicity, and the type of source records (education and health records versus health records only). In addition, this report describes the proportion of children with ASD with a score consistent with intellectual disability on a standardized intellectual ability test, the age at which the earliest known comprehensive evaluation was performed, the proportion of children with a previous ASD diagnosis, the specific type of ASD diagnosis, and any special education eligibility classification.</p><p><strong>Results: </strong>For 2012, the combined estimated prevalence of ASD among the 11 ADDM Network sites was 14.5 per 1,000 (one in 69) children aged 8 years. Estimated prevalence was significantly higher among boys aged 8 years (23.4 per 1,000) than among girls aged 8 years (5.2 per 1,000). Estimated ASD prevalence was significantly higher among non-Hispanic white children aged 8 years (15.3 per 1,000) compared with non-Hispanic black children (13.1 per 1,000), and Hispanic (10.2 per 1,000) children aged 8 years. Estimated prevalence varied widely among the 11 ADDM Network sites, ranging from 8.2 per 1,000 children aged 8 years (in the area of the Maryland site where only h
{"title":"Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012.","authors":"Deborah L Christensen, Kim Van Naarden Braun, Jon Baio, Deborah Bilder, Jane Charles, John N Constantino, Julie Daniels, Maureen S Durkin, Robert T Fitzgerald, Margaret Kurzius-Spencer, Li-Ching Lee, Sydney Pettygrove, Cordelia Robinson, Eldon Schulz, Chris Wells, Martha S Wingate, Walter Zahorodny, Marshalyn Yeargin-Allsopp","doi":"10.15585/mmwr.ss6513a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6513a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2012.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence and characteristics of ASD among children aged 8 years whose parents or guardians reside in 11 ADDM Network sites in the United States (Arkansas, Arizona, Colorado, Georgia, Maryland, Missouri, New Jersey, North Carolina, South Carolina, Utah, and Wisconsin). Surveillance to determine ASD case status is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional service providers in the community. Data sources identified for record review are categorized as either 1) education source type, including developmental evaluations to determine eligibility for special education services or 2) health care source type, including diagnostic and developmental evaluations. The second phase involves the review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors that are consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides ASD prevalence estimates for children aged 8 years living in catchment areas of the ADDM Network sites in 2012, overall and stratified by sex, race/ethnicity, and the type of source records (education and health records versus health records only). In addition, this report describes the proportion of children with ASD with a score consistent with intellectual disability on a standardized intellectual ability test, the age at which the earliest known comprehensive evaluation was performed, the proportion of children with a previous ASD diagnosis, the specific type of ASD diagnosis, and any special education eligibility classification.</p><p><strong>Results: </strong>For 2012, the combined estimated prevalence of ASD among the 11 ADDM Network sites was 14.5 per 1,000 (one in 69) children aged 8 years. Estimated prevalence was significantly higher among boys aged 8 years (23.4 per 1,000) than among girls aged 8 years (5.2 per 1,000). Estimated ASD prevalence was significantly higher among non-Hispanic white children aged 8 years (15.3 per 1,000) compared with non-Hispanic black children (13.1 per 1,000), and Hispanic (10.2 per 1,000) children aged 8 years. Estimated prevalence varied widely among the 11 ADDM Network sites, ranging from 8.2 per 1,000 children aged 8 years (in the area of the Maryland site where only h","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"65 13","pages":"1-23"},"PeriodicalIF":24.9,"publicationDate":"2018-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237390/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36729639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M Shayne Gallaway, S Jane Henley, C Brooke Steele, Behnoosh Momin, Cheryll C Thomas, Ahmed Jamal, Katrina F Trivers, Simple D Singh, Sherri L Stewart
<p><strong>Problem/condition: </strong>Tobacco use is the leading preventable cause of cancer, contributing to at least 12 types of cancer, including acute myeloid leukemia (AML) and cancers of the oral cavity and pharynx; esophagus; stomach; colon and rectum; liver; pancreas; larynx; lung, bronchus, and trachea; kidney and renal pelvis; urinary bladder; and cervix. This report provides a comprehensive assessment of recent tobacco-associated cancer incidence for each cancer type by sex, age, race/ethnicity, metropolitan county classification, tumor characteristics, U.S. census region, and state. These data are important for initiation, monitoring, and evaluation of tobacco prevention and control measures.</p><p><strong>Period covered: </strong>2010-2014.</p><p><strong>Description of system: </strong>Cancer incidence data from CDC's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results program were used to calculate average annual age-adjusted incidence rates for 2010-2014 and trends in annual age-adjusted incidence rates for 2010-2014. These cancer incidence data cover approximately 99% of the U.S.</p><p><strong>Population: </strong>This report provides age-adjusted cancer incidence rates for each of the 12 cancer types known to be causally associated with tobacco use, including liver and colorectal cancer, which were deemed to be causally associated with tobacco use by the U.S. Surgeon General in 2014. Findings are reported by demographic and geographic characteristics, percentage distributions for tumor characteristics, and trends in cancer incidence by sex.</p><p><strong>Results: </strong>During 2010-2014, approximately 3.3 million new tobacco-associated cancer cases were reported in the United States, approximately 667,000 per year. Age-adjusted incidence rates ranged from 4.2 AML cases per 100,000 persons to 61.3 lung cancer cases per 100,000 persons. By cancer type, incidence rates were higher among men than women (excluding cervical cancer), higher among non-Hispanics than Hispanics (for all cancers except stomach, liver, kidney, and cervical), higher among persons in nonmetropolitan counties than those in metropolitan counties (for all cancers except stomach, liver, pancreatic, and AML), and lower in the West than in other U.S. census regions (all except stomach, liver, bladder, and AML). Compared with other racial/ethnic groups, certain cancer rates were highest among whites (oral cavity and pharyngeal, esophageal, bladder, and AML), blacks (colon and rectal, pancreatic, laryngeal, lung and bronchial, cervical, and kidney), and Asians/Pacific Islanders (stomach and liver). During 2010-2014, the rate of all tobacco-associated cancers combined decreased 1.2% per year, influenced largely by decreases in cancers of the larynx (3.0%), lung (2.2%), colon and rectum (2.1%), and bladder (1.3%).</p><p><strong>Interpretation: </strong>Although tobacco-associated cancer incidence decre
{"title":"Surveillance for Cancers Associated with Tobacco Use - United States, 2010-2014.","authors":"M Shayne Gallaway, S Jane Henley, C Brooke Steele, Behnoosh Momin, Cheryll C Thomas, Ahmed Jamal, Katrina F Trivers, Simple D Singh, Sherri L Stewart","doi":"10.15585/mmwr.ss6712a1","DOIUrl":"10.15585/mmwr.ss6712a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Tobacco use is the leading preventable cause of cancer, contributing to at least 12 types of cancer, including acute myeloid leukemia (AML) and cancers of the oral cavity and pharynx; esophagus; stomach; colon and rectum; liver; pancreas; larynx; lung, bronchus, and trachea; kidney and renal pelvis; urinary bladder; and cervix. This report provides a comprehensive assessment of recent tobacco-associated cancer incidence for each cancer type by sex, age, race/ethnicity, metropolitan county classification, tumor characteristics, U.S. census region, and state. These data are important for initiation, monitoring, and evaluation of tobacco prevention and control measures.</p><p><strong>Period covered: </strong>2010-2014.</p><p><strong>Description of system: </strong>Cancer incidence data from CDC's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results program were used to calculate average annual age-adjusted incidence rates for 2010-2014 and trends in annual age-adjusted incidence rates for 2010-2014. These cancer incidence data cover approximately 99% of the U.S.</p><p><strong>Population: </strong>This report provides age-adjusted cancer incidence rates for each of the 12 cancer types known to be causally associated with tobacco use, including liver and colorectal cancer, which were deemed to be causally associated with tobacco use by the U.S. Surgeon General in 2014. Findings are reported by demographic and geographic characteristics, percentage distributions for tumor characteristics, and trends in cancer incidence by sex.</p><p><strong>Results: </strong>During 2010-2014, approximately 3.3 million new tobacco-associated cancer cases were reported in the United States, approximately 667,000 per year. Age-adjusted incidence rates ranged from 4.2 AML cases per 100,000 persons to 61.3 lung cancer cases per 100,000 persons. By cancer type, incidence rates were higher among men than women (excluding cervical cancer), higher among non-Hispanics than Hispanics (for all cancers except stomach, liver, kidney, and cervical), higher among persons in nonmetropolitan counties than those in metropolitan counties (for all cancers except stomach, liver, pancreatic, and AML), and lower in the West than in other U.S. census regions (all except stomach, liver, bladder, and AML). Compared with other racial/ethnic groups, certain cancer rates were highest among whites (oral cavity and pharyngeal, esophageal, bladder, and AML), blacks (colon and rectal, pancreatic, laryngeal, lung and bronchial, cervical, and kidney), and Asians/Pacific Islanders (stomach and liver). During 2010-2014, the rate of all tobacco-associated cancers combined decreased 1.2% per year, influenced largely by decreases in cancers of the larynx (3.0%), lung (2.2%), colon and rectum (2.1%), and bladder (1.3%).</p><p><strong>Interpretation: </strong>Although tobacco-associated cancer incidence decre","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"67 12","pages":"1-42"},"PeriodicalIF":37.3,"publicationDate":"2018-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220819/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36683223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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