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Surveillance for Violent Deaths - National Violent Death Reporting System, 50 States, the District of Columbia, and Puerto Rico, 2022. 暴力死亡监测-国家暴力死亡报告系统,50个州,哥伦比亚特区和波多黎各,2022年。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-06-12 DOI: 10.15585/mmwr.ss7405a1
Kaitlin Forsberg, Kameron J Sheats, Janet M Blair, Brenda L Nguyen, Esther Amoakohene, Carter J Betz, Bridget H Lyons
<p><strong>Problem/condition: </strong>In 2022, approximately 24,000 persons died of homicide and approximately 49,000 persons died of suicide in the United States, according to the National Vital Statistics System. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on suicides, homicides, legal intervention deaths, unintentional firearm injury deaths, and deaths of undetermined intent that occurred in the 50 states, the District of Columbia, and Puerto Rico in 2022. Results are reported by sex, age group, race and ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics. In contrast to the 2021 NVDRS report, which collected data from a subset of states and included suicide data for persons aged ≥10 years, this report includes data from all 50 states, the District of Columbia, and Puerto Rico, and includes suicide data for all ages.</p><p><strong>Period covered: </strong>2022.</p><p><strong>Description of system: </strong>NVDRS collects data from death certificates, coroner and medical examiner reports, and law enforcement reports. This report includes data collected for violent deaths and suicides that occurred in 2022. Data were collected from all 50 states, the District of Columbia, and Puerto Rico. A total of 47 states had statewide data, three states had data from counties representing a subset of their population (32 California counties, representing 68% of its population; 32 Florida counties, representing 70% of its population; and 13 Texas counties, representing 63% of its population), and the District of Columbia and Puerto Rico had jurisdiction-wide data. NVDRS collates information for each death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident.</p><p><strong>Results: </strong>For 2022, NVDRS collected information on 72,127 fatal incidents involving 74,148 deaths that occurred in all 50 states and the District of Columbia. In addition, data were collected for 727 fatal incidents involving 809 deaths in Puerto Rico, which were analyzed separately. Of the 74,148 deaths that occurred in 50 states and the District of Columbia, the majority (60.6%) were suicides, followed by homicides (30.2%), deaths of undetermined intent (7.1%), legal intervention deaths (1.4%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions, without denoting the lawfulness or legality of the circumstances surrounding the death), and unintentional firearm injury deaths (<1.0%). Of the 809 deaths that occurred in Puerto Rico, 73.9% were homicides and 23.5% were suicides.Demographic patterns and circumstances varied by manner of death. In the 50 states and the District of Columbia, the suicide rate was higher for males than for females (23.7 versus 6.1 per 100,000 population)
问题/状况:根据美国国家生命统计系统的数据,2022年,美国约有2.4万人死于他杀,约有4.9万人死于自杀。本报告总结了美国疾病控制与预防中心国家暴力死亡报告系统(NVDRS)的数据,包括2022年美国50个州、哥伦比亚特区和波多黎各发生的自杀、杀人、法律干预死亡、非故意枪支伤害死亡和不明原因死亡。结果按性别、年龄组、种族和民族、受伤方法、受伤发生的位置类型、受伤情况和其他选定的特征报告。与2021年NVDRS报告不同,该报告收集了部分州的数据,包括10岁以上人群的自杀数据,而该报告包括了所有50个州、哥伦比亚特区和波多黎各的数据,包括了所有年龄段的自杀数据。涵盖时间:2022年。系统描述:NVDRS从死亡证明、验尸官和法医报告以及执法报告中收集数据。这份报告收集了2022年发生的暴力死亡和自杀事件的数据。数据是从所有50个州、哥伦比亚特区和波多黎各收集的。共有47个州有全州范围的数据,3个州的数据来自代表其人口子集的县(32个加州县,占其人口的68%;佛罗里达32个县,占其人口的70%;德克萨斯州的13个县(占其人口的63%),哥伦比亚特区和波多黎各拥有管辖范围内的数据。NVDRS对每一起死亡事件的信息进行整理,并将相关的死亡事件(例如,多起凶杀案、杀人后自杀或多起自杀)联系到一起。结果:2022年,NVDRS收集了发生在所有50个州和哥伦比亚特区的72,127起致命事件的信息,涉及74,148人死亡。此外,还收集了波多黎各727起致命事件的数据,涉及809人死亡,并分别进行了分析。在50个州和哥伦比亚特区发生的74148起死亡事件中,大多数(60.6%)是自杀,其次是他杀(30.2%)、不明意图死亡(7.1%)、法律干预死亡(1.4%)(即由执法人员和其他依法有权使用致命武力执行公务的人造成的死亡,不包括合法处决,而不表明死亡情况的合法性或合法性)。解释:本报告提供了NVDRS关于2022年发生的暴力死亡和自杀的详细数据摘要,这是所有50个州、哥伦比亚特区和波多黎各的数据首次符合NVDRS国家数据集纳入标准。符合NVDRS病例定义的死亡人数较多的州(加利福尼亚州、佛罗里达州和德克萨斯州)正朝着全州覆盖的方向发展,而不是只包括该州发生的死亡人数的一部分。自杀率在AI/AN和白人男性中最高,而杀人率在黑人和AI/AN男性中最高。亲密伴侣暴力促成了很大比例的女性凶杀案。心理健康和药物使用问题、当局以前对受害者的认识、亲密伴侣问题、人际冲突和严重的生活压力是所调查的多种死亡类型的主要诱发因素。这些调查结果增加了关于这些死亡相关情况的知识基础,并可协助公共卫生当局及其合作伙伴制定和通报以数据为依据的有效预防暴力方法。公共卫生行动:本报告中描述的与伤害有关的死亡是可以预防的,数据可以为公共卫生行动提供信息。NVDRS数据用于监测这些致命伤害的发生,并协助公共卫生机构制定、实施和评估减少和预防死亡的计划、政策和实践。国家和司法管辖区利用其暴力死亡报告系统数据为预防暴力工作提供信息,并强调需要进一步关注的领域。本报告的研究结果可用于加强预防工作。
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引用次数: 0
Population-Based Active Surveillance for Culture-Confirmed Candidemia - 10 Sites, United States, 2017-2021. 基于人群的培养确认念珠菌的主动监测- 10个站点,美国,2017-2021。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-05-29 DOI: 10.15585/mmwr.ss7404a1
Emily N Jenkins, Jeremy A W Gold, Kaitlin Benedict, Shawn R Lockhart, Elizabeth L Berkow, Tamia Dixon, Shanita L Shack, Lucy S Witt, Lee H Harrison, Shannon Seopaul, Maria A Correa, Megan Fitzsimons, Yalda Jabarkhyl, Devra Barter, Christopher A Czaja, Helen Johnston, Tiffanie Markus, William Schaffner, Annastasia Gross, Ruth Lynfield, Laura Tourdot, Joelle Nadle, Jeremy Roland, Gabriela Escutia, Alexia Y Zhang, Anita Gellert, Christine Hurley, Brenda L Tesini, Erin C Phipps, Sarah Shrum Davis, Meghan Lyman
<p><strong>Problem/condition: </strong>Candidemia, a bloodstream infection caused by Candida spp., is a common cause of health care-associated bloodstream infections in the United States. Candidemia is associated with substantial health care costs, morbidity, and mortality.</p><p><strong>Period covered: </strong>2017-2021.</p><p><strong>Description of system: </strong>CDC's Emerging Infections Program (EIP), a collaboration among CDC, state health departments, and academic partners, was used to conduct active, population-based laboratory surveillance for candidemia at city or county sites located in 10 states (California, Colorado, Connecticut, Georgia, Maryland, Minnesota, New Mexico, New York, Oregon, and Tennessee), representing a combined population of approximately 21.5 million persons, or 7% of the U.S. population in 2019. Connecticut began reporting cases on January 1, 2019, and conducts statewide surveillance. Although candidemia is not a nationally notifiable condition, cases of Candida auris infection are nationally notifiable, and cases of candidemia caused by C. auris could be included in both national case counts and EIP surveillance. A culture-confirmed candidemia case is defined as a positive blood culture for any Candida sp. from a resident in the surveillance catchment area. Subsequent positive blood cultures for Candida within 30 days of the initial positive culture (index date) in the same patient are considered part of the same case. Clinical laboratories serving each catchment area report candidemia cases, and trained surveillance officers abstract information from medical charts for all cases. Corresponding isolates are sent to CDC for species confirmation and antifungal susceptibility testing.</p><p><strong>Results: </strong>A total of 7,381 candidemia cases were identified during the surveillance period (2017-2021). The overall incidence was 7.4 cases per 100,000 population. Across age groups, sexes, racial and ethnic groups, and surveillance sites, incidence was generally stable or increased slightly from 2017 to 2021, with the lowest overall incidence in 2019 (6.8) and the highest in 2021 (7.9). In 2021, candidemia incidence was highest in patients aged ≥65 years (22.7) and infants (aged <1 year) (8.0). Incidence was higher in males (8.7) compared with females (7.0) and higher in non-Hispanic Black or African American (Black) patients (12.8) compared with non-Black patients (5.6). Incidence was highest in Maryland (14.5), followed by Tennessee (10.1) and Georgia (10.0); incidence was lowest in Oregon (4.8). Increases occurred in the percentage of cases classified as health care onset (52.2% in 2017 to 58.0% in 2021). Overall, among 7,381 cases (in 6,235 patients), 63.7% occurred in patients who had a central venous catheter, 80.7% involved recent systemic antibiotic receipt, and 9.0% occurred in patients who had a history of injection drug use. The percentage of cases with a positive SARS-CoV-2 test during the 90 days be
问题/状况:念珠菌病,由念珠菌引起的血液感染,是美国卫生保健相关血液感染的常见原因。念珠菌病与大量的卫生保健费用、发病率和死亡率有关。涵盖时间:2017-2021年。系统描述:CDC的新发感染计划(EIP)是CDC、州卫生部门和学术合作伙伴之间的一项合作,用于在位于10个州(加利福尼亚州、科罗拉多州、康涅狄格州、佐治亚州、马里兰州、明尼苏达州、新墨西哥州、纽约州、俄勒冈州和田纳西州)的城市或县开展积极的、基于人群的念珠菌实验室监测,代表约2150万人的总人口,占2019年美国人口的7%。康涅狄格州于2019年1月1日开始报告病例,并在全州范围内进行监测。虽然念珠菌病不是全国必须报告的疾病,但耳念珠菌感染病例是全国必须报告的病例,由耳念珠菌引起的念珠菌病例可包括在全国病例计数和EIP监测中。培养确诊念珠菌病例定义为监测集水区居民的任何念珠菌属血培养呈阳性。在同一患者首次阳性培养(指标日期)后30天内,后续念珠菌血培养呈阳性被认为是同一病例的一部分。服务于每个集水区的临床实验室报告念珠菌病例,训练有素的监测人员从所有病例的医疗图表中提取信息。相应的分离株送CDC进行菌种确证和药敏试验。结果:监测期间(2017-2021年)共发现念珠菌7381例。总发病率为每10万人7.4例。2017年至2021年,不同年龄组、性别、种族和族裔群体以及监测点的发病率总体稳定或略有上升,2019年总体发病率最低(6.8),2021年最高(7.9)。2021年,念珠菌的发病率在≥65岁的患者中最高(22.7%)和婴儿中最高(老年)解释:念珠菌仍然是一种重要的卫生保健相关感染。在老年人、男性和黑人患者中不成比例的发病率与之前的报道一致,与之前基于2012-2016年收集的数据的EIP发现相比,念珠菌的总体发病率没有实质性变化(每10万人中有8.7人)。2020-2021年期间与念珠菌相关的较高死亡率可能反映了2019冠状病毒病大流行的后果,包括卫生保健系统紧张以及因与COVID-19相关的危重疾病而易感染念珠菌的患者人数增加。公共卫生行动:严格执行预防与卫生保健有关的血液感染的措施,对于帮助预防念珠菌病例非常重要。卫生保健官员和提供者应该警惕念珠菌作为危重疾病的并发症。需要继续监测念珠菌感染风险的新兴人群和抗真菌耐药性模式的变化,这有助于指导抗真菌治疗的选择。
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引用次数: 0
Enteric Disease Outbreaks Associated with Animal Contact - Animal Contact Outbreak Surveillance System, United States, 2009-2021. 与动物接触相关的肠道疾病暴发——动物接触暴发监测系统,美国,2009-2021。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-05-22 DOI: 10.15585/mmwr.ss7403a1
Taylor Eisenstein, Marisa Wong, Grace Vahey, Ariana Perez Toepfer, Brigette Gleason, Katharine Benedict
<p><strong>Problem/condition: </strong>An estimated 450,000 enteric illnesses, 5,000 hospitalizations, and 76 deaths associated with animal contact occur each year in the United States. Enteric illnesses are diseases that affect the stomach or intestines and cause symptoms, such as diarrhea, nausea, or vomiting, and are typically transmitted from animals to humans through the fecal-oral route. Humans might encounter animal feces or bodily fluids through contact with the animal itself, the animal's environment, or the animal's food or water. Although outbreak-associated illnesses account for a small subset of all enteric illnesses linked to animal contact, data obtained from outbreak surveillance offer insights into the underlying epidemiologic factors contributing to illnesses, including the pathogens, animals, pathogen-animal category pairs, and settings of outbreaks associated with animal contact.</p><p><strong>Period covered: </strong>2009-2021.</p><p><strong>Description of system: </strong>The Animal Contact Outbreak Surveillance System (ACOSS) was launched in 2009 in conjunction with the National Outbreak Reporting System (NORS), a web-based platform that includes reports of foodborne and waterborne outbreaks as well as enteric disease outbreaks transmitted by contact with environmental sources, infected persons or animals, or unknown modes. ACOSS encompasses animal contact outbreaks that are reported to CDC through NORS. Local, state, and territorial health departments voluntarily report animal contact outbreaks, which are defined as two or more enteric illnesses associated with a common animal source. Outbreaks can involve single or multiple states; CDC staff typically report multistate outbreaks on behalf of state and territorial health departments. ACOSS defines an animal source as an animal (including domestic and wild animals); an animal's feces or bodily fluids (except milk and other fluids consumed as food, which are defined as foodborne sources); an animal's fur, hair, feathers, scales, or skin; an animal's food; or an animal's environment, which includes places in which it lives and roams.</p><p><strong>Results: </strong>During 2009-2021, a total of 557 animal contact outbreaks of enteric disease were reported in the United States through ACOSS, accounting for 14,377 illnesses, 2,656 hospitalizations, and 22 deaths. Exposures were reported in all 50 states, Washington, DC, and Puerto Rico. During the period there were 393 single-state outbreaks and 164 multistate outbreaks. Although multistate outbreaks comprised 29% of all outbreaks reported through ACOSS, they accounted for 80% of illnesses, 88% of hospitalizations, and 82% of deaths. Among 474 outbreaks with a confirmed single etiology, Salmonella was the most common cause of outbreaks (248 outbreaks [52%]); these outbreaks accounted for the most outbreak-associated illnesses (11,822 [85%]), hospitalizations (2,393 [91%]), and deaths (17 [77%]). Cryptosporidium (108 outbreaks [2
问题/状况:在美国,估计每年有450,000例肠道疾病,5,000例住院治疗,76例死亡与动物接触有关。肠道疾病是影响胃或肠道并引起腹泻、恶心或呕吐等症状的疾病,通常通过粪-口途径从动物传播给人类。人类可能会通过接触动物本身、动物的环境或动物的食物或水而接触到动物的粪便或体液。虽然疫情相关疾病占与动物接触有关的所有肠道疾病的一小部分,但从疫情监测中获得的数据提供了对导致疾病的潜在流行病学因素的见解,包括病原体、动物、病原体-动物类别对以及与动物接触有关的疫情环境。涵盖期间:2009-2021年。系统描述:动物接触疫情监测系统(ACOSS)于2009年与国家疫情报告系统(NORS)一起启动,NORS是一个基于网络的平台,包括食源性和水传播疫情以及通过与环境源、受感染者或动物或未知模式接触传播的肠道疾病疫情的报告。ACOSS包括通过NORS向疾控中心报告的动物接触疫情。地方、州和地区卫生部门自愿报告动物接触暴发,定义为与共同动物源相关的两种或两种以上肠道疾病。疫情可能涉及单个或多个州;疾病预防控制中心的工作人员通常代表州和地区卫生部门报告多州爆发的疫情。ACOSS将动物源定义为动物(包括家畜和野生动物);动物粪便或体液(作为食物食用的牛奶和其他液体除外,这些液体被定义为食源性来源);毛皮:动物的毛、毛、羽毛、鳞片或皮肤;动物的食物;或者动物的环境,包括动物生活和漫游的地方。结果:2009-2021年期间,美国通过ACOSS共报告了557起动物接触性肠道疾病暴发,其中14,377人患病,2,656人住院,22人死亡。所有50个州、华盛顿特区和波多黎各都报告了接触情况。在此期间,发生了393起单州疫情和164起多州疫情。虽然多州暴发占ACOSS报告的所有暴发的29%,但它们占80%的疾病,88%的住院治疗和82%的死亡。在确认单一病因的474次暴发中,沙门氏菌是最常见的暴发原因(248次暴发[52%]);这些暴发导致了最多的暴发相关疾病(11,822例[85%])、住院(2,393例[91%])和死亡(17例[77%])。隐孢子虫(108例[23%])是确认的单一病因暴发的第二大原因,其次是大肠杆菌(63例[13%])和弯曲杆菌(52例[11%])。在报告的单一地点暴发中,最常见的暴露地点是私人住宅(168例[40%])和农场或奶牛场(89例[21%])。在可将动物源归因于单一动物类别的467次暴发中,反刍动物(171例[37%])是受影响最大的动物类别(75%的反刍动物暴发归因于牛),其次是家禽(155例[33%])和海龟(39例[12%])。家禽与大多数暴发相关疾病(9095例[66%由单一动物类别引起的暴发引起的疾病])、住院(1804例[70%])和死亡(15例[83%])相关。大多数由家禽引起的暴发(130例[占所有家禽暴发的84%])报告至少有一个暴露地点是私人家庭(即后院家禽),并导致几乎所有与家禽有关的疾病(8,897例[98%])。最常见的病原体-动物对是沙门氏菌和家禽(132次暴发),其次是隐孢子虫和反刍动物(88次),以及沙门氏菌和海龟(37次)。沙门氏菌和家禽是导致疫情相关疾病(8,965例)、住院(1,790例)和死亡(15例)的主要原因。解释:通过ACOSS报告的动物接触性肠道疾病暴发提供了对引起暴发相关肠道疾病的动物和病因以及其他暴发特征(如暴发发生的环境)的深入了解。这些发现可以指导与特定人群(如后院家禽饲养者)合作制定的公共卫生行动,并包括针对更常与动物接触暴发相关的环境(如私人住宅和农场或奶牛场)量身定制的干预措施。 暴发发生在私人住宅的高比例表明,动物所有者(包括后院家禽的所有者)在适当的卫生和肠道疾病预防知识方面可能存在差距,这些家禽可能被所有者视为宠物而不是牲畜。与反刍动物、家禽和海龟(特别是分别为牛、后院家禽和小海龟)有关的环境和种群是公共卫生干预措施的重要目标,因为与这些动物来源有关的暴发和与暴发相关的疾病数量很多。此外,多州暴发的不成比例影响重申了国家协作应对的重要性,但也可能反映出在州和地方两级调查或报告动物接触暴发的资源有限。公共卫生行动:公共卫生合作伙伴应继续通过ACOSS报告动物接触暴发,为针对特定动物、病原体、人群和环境的循证干预措施提供信息。加强地方、州和地区卫生部门调查和报告动物接触暴发的能力对于改进对动物接触暴发的监测至关重要。州、地方和联邦公共卫生和全国农业伙伴之间的密切合作也是调查和应对多州疫情的关键。利用动物、环境和公共卫生合作伙伴的专门知识的“同一个健康”综合办法可促进旨在预防动物接触性疾病暴发的成功公共卫生干预措施。
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引用次数: 0
Prevalence and Early Identification of Autism Spectrum Disorder Among Children Aged 4 and 8 Years - Autism and Developmental Disabilities Monitoring Network, 16 Sites, United States, 2022. 4 - 8岁儿童自闭症谱系障碍的流行与早期识别——自闭症与发育障碍监测网络,美国,2016。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-04-17 DOI: 10.15585/mmwr.ss7402a1
Kelly A Shaw, Susan Williams, Mary E Patrick, Miguel Valencia-Prado, Maureen S Durkin, Ellen M Howerton, Christine M Ladd-Acosta, Elise T Pas, Amanda V Bakian, Paige Bartholomew, Nancy Nieves-Muñoz, Kate Sidwell, Amy Alford, Deborah A Bilder, Monica DiRienzo, Robert T Fitzgerald, Sarah M Furnier, Allison E Hudson, Olivia M Pokoski, Lindsay Shea, Sarah C Tinker, Zachary Warren, Walter Zahorodny, Hilcon Agosto-Rosa, Joshua Anbar, Katheleen Y Chavez, Amy Esler, Allison Forkner, Andrea Grzybowski, Azza Hagel Agib, Libby Hallas, Maya Lopez, Sandy Magaña, Ruby H N Nguyen, Jaylaan Parker, Karen Pierce, Tyra Protho, Hilda Torres, Sandra B Vanegas, Alison Vehorn, Minyu Zhang, Jennifer Andrews, Felicia Greer, Jennifer Hall-Lande, Dedria McArthur, Madison Mitamura, Angel J Montes, Sydney Pettygrove, Josephine Shenouda, Carolyn Skowyra, Anita Washington, Matthew J Maenner
<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2022.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates prevalence and characteristics of ASD and monitors timing of ASD identification among children aged 4 and 8 years. In 2022, a total of 16 sites (located in Arizona, Arkansas, California, Georgia, Indiana, Maryland, Minnesota, Missouri, New Jersey, Pennsylvania, Puerto Rico, Tennessee, Texas [two sites: Austin and Laredo], Utah, and Wisconsin) conducted surveillance for ASD among children aged 4 and 8 years and suspected ASD among children aged 4 years. Surveillance included children who lived in the surveillance area at any time during 2022. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement in a comprehensive developmental evaluation, 2) autism special education eligibility, or 3) an ASD International Classification of Diseases, Ninth Revision (ICD-9) code in the 299 range or International Classification of Diseases, Tenth Revision (ICD-10) code of F84.0, F84.3, F84.5, F84.8, or F84.9. Children aged 4 years were classified as having suspected ASD if they did not meet the case definition for ASD but had an evaluator's suspicion of ASD documented in a comprehensive developmental evaluation.</p><p><strong>Results: </strong>Among children aged 8 years in 2022, ASD prevalence was 32.2 per 1,000 children (one in 31) across the 16 sites, ranging from 9.7 in Texas (Laredo) to 53.1 in California. The overall observed prevalence estimate was similar to estimates calculated using Bayesian hierarchical and random effects models. ASD was 3.4 times as prevalent among boys (49.2) than girls (14.3). Overall, ASD prevalence was lower among non-Hispanic White (White) children (27.7) than among Asian or Pacific Islander (A/PI) (38.2), American Indian or Alaska Native (AI/AN) (37.5), non-Hispanic Black or African American (Black) (36.6), Hispanic or Latino (Hispanic) (33.0), and multiracial children (31.9). No association was observed between ASD prevalence and neighborhood median household income (MHI) at 11 sites; higher ASD prevalence was associated with lower neighborhood MHI at five sites.Record abstraction was completed for 15 of the 16 sites for 8,613 children aged 8 years who met the ASD case definition. Of these 8,613 children, 68.4% had a documented diagnostic statement of ASD, 67.3% had a documented autism special education eligibility, and 68.9% had a documented ASD ICD-9 or ICD-10 code. All three elements of the ASD case definition were present for 34.6% of children aged 8 years with ASD.Among 5,292 (61.4% of 8,613) children aged 8 years with ASD with information on cognitive ability, 39.6% were classified as having an intellectual disability. Intellectual disability was present among 52.8% of Black, 50.0% of AI/AN, 43.9% of A/PI, 38.8% of Hispa
问题/状况:自闭症谱系障碍(ASD)。涵盖时间:2022年。系统描述:自闭症和发育障碍监测网络是一个主动监测项目,用于估计自闭症谱系障碍的患病率和特征,并监测4至8岁儿童自闭症谱系障碍的识别时间。2022年,共有16个地点(位于亚利桑那州、阿肯色州、加利福尼亚州、佐治亚州、印第安纳州、马里兰州、明尼苏达州、密苏里州、新泽西州、宾夕法尼亚州、波多黎各、田纳西州、德克萨斯州[两个地点:奥斯汀和拉雷多]、犹他州和威斯康星州)对4岁和8岁儿童的ASD和4岁儿童的疑似ASD进行了监测。监测对象包括2022年期间任何时间居住在监测区内的儿童。如果儿童曾经收到1)综合发展评估中的ASD诊断声明,2)自闭症特殊教育资格,或3)299范围内的ASD国际疾病分类第九版(ICD-9)代码或国际疾病分类第十版(ICD-10)代码F84.0, F84.3, F84.5, F84.8或F84.9,则将儿童归类为患有ASD。如果4岁的儿童不符合ASD的病例定义,但在综合发展评估中有评估者对ASD的怀疑记录,则将其归类为疑似ASD。结果:在2022年的8岁儿童中,16个地区的ASD患病率为32.2 / 1000(1 / 31),从德克萨斯州(拉雷多)的9.7到加利福尼亚州的53.1。总体观察到的患病率估计值与使用贝叶斯分层和随机效应模型计算的估计值相似。男孩(49.2)是女孩(14.3)的3.4倍。总体而言,非西班牙裔白人(White)儿童的ASD患病率(27.7)低于亚洲或太平洋岛民(A/PI)(38.2)、美洲印第安人或阿拉斯加原住民(AI/AN)(37.5)、非西班牙裔黑人或非裔美国人(Black)(36.6)、西班牙裔或拉丁裔(Hispanic)(33.0)和多种族儿童(31.9)。11个地区的ASD患病率与社区家庭收入中位数(MHI)之间没有关联;在五个地点,较高的ASD患病率与较低的社区MHI相关。对符合ASD病例定义的8,613名8岁儿童的16个地点中的15个完成记录提取。在这8613名儿童中,68.4%有记录在案的ASD诊断声明,67.3%有记录在案的自闭症特殊教育资格,68.9%有记录在案的ASD ICD-9或ICD-10代码。34.6%的8岁ASD患儿存在ASD病例定义的所有三个要素。在有认知能力信息的5292名8岁ASD儿童(8613名中的61.4%)中,39.6%被归类为智力障碍。52.8%的黑人、50.0%的AI/AN、43.9%的A/PI、38.8%的西班牙裔、32.7%的白人和31.2%的多种族ASD儿童存在智力障碍。最早已知ASD诊断的中位年龄为47个月,从加州的36个月到德克萨斯州(拉雷多)的69.5个月不等。在能够提取记录的15个站点中,有13个站点的2018年出生的儿童(2022年4岁)的ASD诊断或48个月时的资格累积发生率高于2014年出生的儿童(2022年8岁)。与2014年出生的人相比,2018年出生的人到48个月时ASD诊断或资格的总体累积发病率是2014年出生的人的1.7倍,从亚利桑那州和佐治亚州的1.4倍到波多黎各的3.1倍不等。在4岁儿童中,每10名儿童符合ASD的病例定义,就有1名儿童符合疑似ASD的定义。2018年出生的ASD儿童在0-4岁期间接受的评估和识别比2014年出生的ASD儿童在0-4岁期间接受的评估和识别更多,这种模式在2020年初中断,恰逢COVID-19大流行的开始。总体而言,66.5%的8岁自闭症儿童进行了记录在案的自闭症测试。自闭症测试的使用在各地差别很大:24.7%(新泽西州)到93.5%(波多黎各)的8岁自闭症儿童在他们的记录中有记录在案的自闭症测试。8岁儿童最常见的测试是自闭症诊断观察表、自闭症谱系评定量表、儿童自闭症评定量表、吉列姆自闭症评定量表和社会反应量表。解释:2022年8岁儿童ASD患病率高于往年。8岁的A/PI、黑人和西班牙裔儿童的ASD患病率高于8岁的白人儿童,延续了2020年首次观察到的模式。A/PI、黑人和西班牙裔8岁ASD儿童也比白人或多种族ASD儿童更容易同时发生智力残疾。 与2014年出生的孩子相比,2018年出生的孩子在48个月大时的识别率更高,这表明早期识别的增加与历史模式一致。公共卫生行动:增加对自闭症的识别,特别是在非常年幼的儿童和以前未被识别的群体中,强调了对加强规划的需求增加和持续需要,以便为所有自闭症儿童提供公平的诊断、治疗和支持服务。不同地区自闭症谱系障碍识别的巨大差异表明,有机会在社区中识别和实施成功的策略和实践,以确保所有自闭症谱系障碍儿童发挥其潜力。
{"title":"Prevalence and Early Identification of Autism Spectrum Disorder Among Children Aged 4 and 8 Years - Autism and Developmental Disabilities Monitoring Network, 16 Sites, United States, 2022.","authors":"Kelly A Shaw, Susan Williams, Mary E Patrick, Miguel Valencia-Prado, Maureen S Durkin, Ellen M Howerton, Christine M Ladd-Acosta, Elise T Pas, Amanda V Bakian, Paige Bartholomew, Nancy Nieves-Muñoz, Kate Sidwell, Amy Alford, Deborah A Bilder, Monica DiRienzo, Robert T Fitzgerald, Sarah M Furnier, Allison E Hudson, Olivia M Pokoski, Lindsay Shea, Sarah C Tinker, Zachary Warren, Walter Zahorodny, Hilcon Agosto-Rosa, Joshua Anbar, Katheleen Y Chavez, Amy Esler, Allison Forkner, Andrea Grzybowski, Azza Hagel Agib, Libby Hallas, Maya Lopez, Sandy Magaña, Ruby H N Nguyen, Jaylaan Parker, Karen Pierce, Tyra Protho, Hilda Torres, Sandra B Vanegas, Alison Vehorn, Minyu Zhang, Jennifer Andrews, Felicia Greer, Jennifer Hall-Lande, Dedria McArthur, Madison Mitamura, Angel J Montes, Sydney Pettygrove, Josephine Shenouda, Carolyn Skowyra, Anita Washington, Matthew J Maenner","doi":"10.15585/mmwr.ss7402a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss7402a1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Problem/condition: &lt;/strong&gt;Autism spectrum disorder (ASD).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Period covered: &lt;/strong&gt;2022.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Description of system: &lt;/strong&gt;The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates prevalence and characteristics of ASD and monitors timing of ASD identification among children aged 4 and 8 years. In 2022, a total of 16 sites (located in Arizona, Arkansas, California, Georgia, Indiana, Maryland, Minnesota, Missouri, New Jersey, Pennsylvania, Puerto Rico, Tennessee, Texas [two sites: Austin and Laredo], Utah, and Wisconsin) conducted surveillance for ASD among children aged 4 and 8 years and suspected ASD among children aged 4 years. Surveillance included children who lived in the surveillance area at any time during 2022. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement in a comprehensive developmental evaluation, 2) autism special education eligibility, or 3) an ASD International Classification of Diseases, Ninth Revision (ICD-9) code in the 299 range or International Classification of Diseases, Tenth Revision (ICD-10) code of F84.0, F84.3, F84.5, F84.8, or F84.9. Children aged 4 years were classified as having suspected ASD if they did not meet the case definition for ASD but had an evaluator's suspicion of ASD documented in a comprehensive developmental evaluation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among children aged 8 years in 2022, ASD prevalence was 32.2 per 1,000 children (one in 31) across the 16 sites, ranging from 9.7 in Texas (Laredo) to 53.1 in California. The overall observed prevalence estimate was similar to estimates calculated using Bayesian hierarchical and random effects models. ASD was 3.4 times as prevalent among boys (49.2) than girls (14.3). Overall, ASD prevalence was lower among non-Hispanic White (White) children (27.7) than among Asian or Pacific Islander (A/PI) (38.2), American Indian or Alaska Native (AI/AN) (37.5), non-Hispanic Black or African American (Black) (36.6), Hispanic or Latino (Hispanic) (33.0), and multiracial children (31.9). No association was observed between ASD prevalence and neighborhood median household income (MHI) at 11 sites; higher ASD prevalence was associated with lower neighborhood MHI at five sites.Record abstraction was completed for 15 of the 16 sites for 8,613 children aged 8 years who met the ASD case definition. Of these 8,613 children, 68.4% had a documented diagnostic statement of ASD, 67.3% had a documented autism special education eligibility, and 68.9% had a documented ASD ICD-9 or ICD-10 code. All three elements of the ASD case definition were present for 34.6% of children aged 8 years with ASD.Among 5,292 (61.4% of 8,613) children aged 8 years with ASD with information on cognitive ability, 39.6% were classified as having an intellectual disability. Intellectual disability was present among 52.8% of Black, 50.0% of AI/AN, 43.9% of A/PI, 38.8% of Hispa","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"74 2","pages":"1-22"},"PeriodicalIF":37.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12011386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054715","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}
引用次数: 0
Contributing Factors of Foodborne Illness Outbreaks - National Outbreak Reporting System, United States, 2014-2022. 食源性疾病暴发的影响因素——国家暴发报告系统,美国,2014-2022。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-13 DOI: 10.15585/mmwr.ss7401a1
Meghan M Holst, Beth C Wittry, Carolyn Crisp, Jeffrey Torres, D J Irving, David Nicholas
<p><strong>Problem/condition: </strong>Approximately 800 foodborne illness outbreaks occur in the United States each year. These outbreaks include approximately 15,000 illnesses, 800 hospitalizations, and 20 deaths. Although illnesses from outbreaks account for a small portion of all foodborne illnesses, outbreak investigations reveal how these illnesses originate by offering crucial data through epidemiologic, environmental health, and laboratory analyses and aid in outbreak mitigation and prevention.</p><p><strong>Period covered: </strong>2014-2022.</p><p><strong>Description of system: </strong>The Foodborne Disease Outbreak Surveillance System (FDOSS), via the National Outbreak Reporting System (NORS), captures data from foodborne enteric illness outbreak investigations in the United States. Epidemiology or communicable disease control and environmental health programs of state and local health departments collect and voluntarily report the data to NORS, which is managed by CDC. These data include information about cases (e.g., case counts, symptoms, duration of illness, and health care-seeking behaviors), laboratory specimens, settings of exposure, implicated food items, and contributing factors (i.e., how the outbreak occurred). A foodborne illness outbreak is defined as two or more cases of a similar illness associated with a common exposure (e.g., shared food, venue, or experience). Data collected from an outbreak investigation help the investigator identify contributing factors to the outbreak. Contributing factors are food preparation practices, behaviors, and environmental conditions that lead to pathogens getting into food, growing in food, or surviving in food and are grouped into three categories: contamination (when pathogens and other hazards get into food), proliferation (when pathogens that are already present in food grow), and survival (when pathogens survive a process intended to kill or reduce them).</p><p><strong>Results: </strong>A total of 2,677 (40.5%) foodborne illness outbreaks reported during 2014-2022 with information on contributing factors were included in this analysis. Foodborne outbreak periods were categorized into three time frames: 2014-2016 (first), 2017-2019 (second), and 2020-2022 (third). Of the 2,677 outbreaks, 1,142 (42.7%) occurred during the first time frame, 1,130 outbreaks (42.2%) during the second time frame, and 405 outbreaks (15.1%) during the third time frame. The proportion of bacterial outbreaks increased from the first (41.9%) to the third time frame (48.4%), and the proportion of viral outbreaks decreased (33.3% to 23.2%). Over the three time frames, the proportion of outbreaks with a contamination contributing factor decreased (85.6%, 83.6%, and 81.0%, respectively). The proportion of outbreaks with a proliferation contributing factor category decreased from the first (40.3%) to the second time frame (35.0%), then increased during the third time frame (35.1%), and the proportion of outbreaks
问题/状况:美国每年大约发生800起食源性疾病暴发。这些疫情包括大约1.5万人患病,800人住院,20人死亡。虽然疫情引起的疾病占所有食源性疾病的一小部分,但疫情调查通过流行病学、环境卫生和实验室分析提供关键数据,揭示了这些疾病的起源,并有助于缓解和预防疫情。涵盖时间:2014-2022年。系统描述:食源性疾病暴发监测系统(FDOSS)通过国家暴发报告系统(NORS)获取美国食源性肠道疾病暴发调查的数据。州和地方卫生部门的流行病学或传染病控制和环境卫生项目收集并自愿向NORS报告数据,NORS由疾病预防控制中心管理。这些数据包括病例信息(如病例数、症状、病程和求医行为)、实验室标本、接触环境、涉及的食品和影响因素(即疫情如何发生)。食源性疾病暴发被定义为与共同暴露(例如,共用食物、场所或经历)相关的两个或两个以上类似疾病病例。从爆发调查中收集的数据有助于调查人员确定导致爆发的因素。致病因素是导致病原体进入食物、在食物中生长或在食物中存活的食物制备方法、行为和环境条件,并分为三类:污染(病原体和其他危害进入食物时)、增殖(已经存在于食物中的病原体生长时)和存活(病原体在旨在杀死或减少它们的过程中存活时)。结果:2014-2022年期间报告的食源性疾病暴发总数为2677例(40.5%),并包含了影响因素信息。食源性暴发期分为三个时间框架:2014-2016年(第一)、2017-2019年(第二)和2020-2022年(第三)。在2,677起疫情中,1,142起(42.7%)发生在第一个时间框架内,1,130起(42.2%)发生在第二个时间框架内,405起(15.1%)发生在第三个时间框架内。细菌暴发的比例从第一个时间段(41.9%)上升到第三个时间段(48.4%),病毒暴发的比例从33.3%下降到23.2%。在三个时间框架内,污染导致的疫情比例分别下降了85.6%、83.6%和81.0%。扩散因子类暴发的比例从第一个时间段(40.3%)下降到第二个时间段(35.0%),然后在第三个时间段(35.1%)上升;生存因子类暴发的比例从第一个时间段(25.7%)下降到第二个时间段(21.9%),然后在第三个时间段(25.7%)上升。以水生动物为受影响食品的暴发比例从第一次(12.0%)增加到第二个时间框架(18.5%),然后在第三个时间框架(18.3%)下降。以陆生动物为受影响食物的暴发比例从第一个时间段(16.7%)下降到第二个时间段(14.2%),然后在第三个时间段增加(15.1%)。对于有污染因素的疫情,在到达最终制备点之前被动物或环境源污染的食品比例在三个时间框架内增加(分别为22.2%、27.7%和32.3%),通过赤手接触食品的传染性食品工人污染的疫情比例减少(分别为20.5%、15.2%和8.9%)。在扩散类别中,与食品在制备和食品服务或展示期间长时间不受温度控制有关的爆发比例在三个时间框架内分别下降了15.2%、12.2%和9.9%;,分别为13.6%、10.4%和8.9%),并且食品冷却不当的比例从第一个时间段(9.4%)下降到第二个时间段(8.8%),然后在第三个时间段(10.9%)上升。就生存类而言,与食品最初烹饪/热加工期间时间和温度控制不当有关的暴发比例从第一个时间段(12.1%)下降到第二个时间段(9.6%),并在第三个时间段(12.1%)增加。对于细菌爆发,食品交叉污染在第一个时间框架(22.0%)和第二个时间框架(20.8%)是前五大促成因素之一,但在第三个时间框架中则不是。在所有三个时间范围内,食物最初烹饪的时间和温度控制不足是前五大影响因素(23.8%,20.8%)。 分别为4%和20.9%)。在第一个和第二个时间框架中,不当冷却并不在前五大影响因素之列,但在第三个时间框架中(17.3%)。对于病毒暴发,在第一个时间框架内(47.1%)和第二个时间框架内(37.7%),传染性食品工人通过赤手接触食物造成的污染是最常见的影响因素之一,在第三个时间框架内下降到第三个最常见的影响因素(28.7%)。在第一个时间段(32.1%)和第二个时间段(25.5%),传染性食品工人通过戴手套接触食物造成的污染是前五大影响因素之一,在第三个时间段(42.5%)是最常见的影响因素。解释:许多食源性疾病暴发是由于食品在到达最后制备点之前被动物或环境源污染而发生的。大多数病毒爆发是由生病的食品工人造成的污染引起的。2020-2022年期间,病毒暴发比例和污染促成因素暴发比例的下降可能归因于COVID-19大流行的影响。在2019冠状病毒病大流行期间实施的非药物干预措施(例如,增加手套使用、清洁和消毒以及关闭餐馆用餐区)可能导致诺如病毒的减少,诺如病毒通常由传染性食品工人传播。导致细菌爆发的两个常见因素是食物长时间不受温度控制,以及烹饪过程中时间和温度控制不充分。需要适当的时间和温度控制,以有效地消除受污染食品中的细菌病原体,确保食品安全运营。公共卫生行动:食品零售企业可以遵循以科学为基础的食品安全指导方针,如食品和药物管理局食品法典和危害分析和关键控制点(HACCP)计划。餐厅经理可以通过实施有关患病工人管理的书面政策,制定工人排除期间的人员配备应急计划,以及解决员工带病工作的原因,来减轻患病食品工人的污染。调查疫情并进行例行检查的卫生部门工作人员可以鼓励餐馆遵循他们的HACCP计划和其他经过验证的食品安全措施,如冷却,以防止疫情爆发。
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引用次数: 0
Intimate Partner Violence-Related Homicides of Hispanic and Latino Persons - National Violent Death Reporting System, United States, 2003-2021. 西班牙裔和拉丁裔人的亲密伴侣暴力相关杀人案——2003-2021年美国国家暴力死亡报告系统。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-12-12 DOI: 10.15585/mmwr.ss7309a1
Sarah Treves-Kagan, Yanet Ruvalcaba, Daniel T Corry, Colleen M Ray, Vi D Le, Rosalyn D Lee, Carlos Siordia, Melissa C Mercado, Lianne Fuino Estefan, Tatiana M Vera, Megan C Kearns, Laura M Mercer Kollar, Delight E Satter, Ana Penman-Aguilar, José T Montero

Problem/condition: In 2022, homicide was the second leading cause of death for Hispanic and Latino persons aged 15-24 years in the United States, the third leading cause of death for those aged 25-34 years, and the fourth leading cause of death for those aged 1-14 years. The majority of homicides of females, including among Hispanic and Latino persons, occur in the context of intimate partner violence (IPV). This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on IPV-related homicides of Hispanic and Latino persons in the United States.

Period covered: 2003-2021.

Description of system: NVDRS collects data regarding violent deaths in the United States and links three sources: death certificates, coroner or medical examiner reports, and law enforcement reports. IPV-related homicides include both intimate partner homicides (IPHs) by current or former partners and homicides of corollary victims (e.g., children, family members, and new partners). Findings describe victim and suspect sex, age group, and race and ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics. Deaths related to each other (e.g., an ex-partner kills the former partner and their new partner) are linked into a single incident. State participation in NVDRS has expanded over time, and the number of states participating has varied by year; data from all available years (2003-2021) and U.S. jurisdictions (49 states, Puerto Rico, and the District of Columbia) were used for this report. Of the 49 states that collect data, all except California and Texas collect data statewide; Puerto Rico and District of Columbia data are jurisdiction wide. Florida was excluded because the data did not meet the completeness threshold for circumstances.

Results: NVDRS collected data on 24,581 homicides of Hispanic and Latino persons, and data from all available years (2003-2021) and U.S. jurisdictions (49 states, Puerto Rico, and the District of Columbia) were examined. Among homicides with known circumstances (n = 17,737), a total of 2,444 were classified as IPV-related (13.8%). Nearly half of female homicides (n = 1,453; 48.2%) and 6.7% (n = 991) of male homicides were IPV-related; however, among all Hispanic and Latino homicides, most victims were male (n = 20,627; 83.9%). Among the 2,319 IPV-related homicides with known suspects, 85% (n = 1,205) of suspects were current or former partners for female victims, compared with 26.2% (n = 236) for male Hispanic and Latino victims. Approximately one fifth (71 of 359 [19.8%]) of female IPV-related homicide victims of childbearing age with known pregnancy status were pregnant or ≤1 year postpartum. Approximately 5% of IPV-related homicide victims were identified as Black Hispanic or Latino persons (males: n =

问题/状况:2022年,凶杀案是美国15-24岁西班牙裔和拉丁裔人口的第二大死因,是25-34岁人口的第三大死因,是1-14岁人口的第四大死因。大多数杀害妇女的案件,包括西班牙裔和拉丁裔妇女的案件,都发生在亲密伴侣暴力的背景下。本报告总结了CDC国家暴力死亡报告系统(NVDRS)关于美国西班牙裔和拉丁裔人与ipvv相关的凶杀案的数据。涵盖期间:2003-2021年。系统描述:NVDRS收集有关美国暴力死亡的数据,并链接三个来源:死亡证明、验尸官或法医报告和执法报告。与ipv5相关的杀人案包括现任或前任伴侣对亲密伴侣的杀人案和对必然受害者(如儿童、家庭成员和新伴侣)的杀人案。调查结果描述了受害者和嫌疑人的性别、年龄、种族和民族;伤害方法;凶案发生地点的类型;突发情况(即导致杀人案的事件);以及其他选定的特征。相互关联的死亡(例如,前伴侣杀死前伴侣及其新伴侣)被联系到一起事件中。随着时间的推移,国家对NVDRS的参与不断扩大,参与的州数逐年变化;本报告使用了所有可用年份(2003-2021年)和美国辖区(49个州、波多黎各和哥伦比亚特区)的数据。在49个收集数据的州中,除了加州和德克萨斯州,所有州都收集全州范围的数据;波多黎各和哥伦比亚特区的数据是整个司法管辖区的数据。佛罗里达州被排除在外,因为数据不符合情况的完整性阈值。结果:NVDRS收集了24,581起西班牙裔和拉丁裔人凶杀案的数据,并检查了所有可用年份(2003-2021年)和美国司法管辖区(49个州、波多黎各和哥伦比亚特区)的数据。在已知情况下的凶杀案(n = 17,737)中,共有2,444起被归类为与ipvv相关(13.8%)。近一半的女性凶杀案(n = 1453;48.2%)和6.7% (n = 991)的男性凶杀案与ipvv有关;然而,在所有西班牙裔和拉丁裔杀人案中,大多数受害者是男性(n = 20,627;83.9%)。在已知嫌疑人的2319起与ipvv相关的杀人案中,85% (n = 1205)的嫌疑人是女性受害者的现任或前任伴侣,相比之下,26.2% (n = 236)的男性西班牙裔和拉丁裔受害者。大约五分之一(359人中的71人[19.8%])的育龄女性与ipvv相关的谋杀受害者已知怀孕状况,其中怀孕或产后≤1年。大约5%与ipvv相关的凶杀案受害者被确定为西班牙裔黑人或拉丁裔人(男性:n = 67;6.8%;女性:n = 64;4.4%)。枪支在大多数西班牙裔和拉丁裔与ipvv相关的凶杀案中被使用(男性:n = 676;68.2%;女性:n = 766;52.7%)。解释:本报告提供了2003-2021年期间美国西班牙裔和拉丁裔人与ipvv相关的凶杀案的NVDRS数据的详细摘要。该报告发现了西班牙裔和拉丁裔ipvv相关凶杀案的特征和环境的异质性。虽然大多数西班牙裔和拉丁裔凶杀受害者是男性,但近60%的西班牙裔和拉丁裔ip和ipv6相关凶杀受害者是女性。需要进一步的研究,以更好地了解ip和ipvv相关的杀人与种族(不同于民族)和怀孕之间的关系。公共卫生行动:NVDRS提供了关于美国与IPV有关的西班牙裔和拉丁裔人凶杀案的关键和持续数据,可用于确定现有战略并制定新的早期干预战略,以预防IPV和IPV升级为IPH。已证明有希望降低IPH率的战略包括扩大低收入住房单位的供应;概述移民执法和执法人员之间关系的庇护政策;州法律禁止那些受到家庭暴力限制令的人接触枪支;改善社区与警方的关系,以实施基于风险的干预措施;以及全面的社会、经济、医疗和法律安全网,为包括孕妇在内的受虐关系创造摆脱途径。社区、地方、州和联邦领导人可以将ipvv相关死亡的数据与现有的最佳循证规划和政策结合起来,制定社区参与的解决方案,反映其西班牙裔和拉丁裔社区的经验,包括增加暴力风险的历史和社会因素。
{"title":"Intimate Partner Violence-Related Homicides of Hispanic and Latino Persons - National Violent Death Reporting System, United States, 2003-2021.","authors":"Sarah Treves-Kagan, Yanet Ruvalcaba, Daniel T Corry, Colleen M Ray, Vi D Le, Rosalyn D Lee, Carlos Siordia, Melissa C Mercado, Lianne Fuino Estefan, Tatiana M Vera, Megan C Kearns, Laura M Mercer Kollar, Delight E Satter, Ana Penman-Aguilar, José T Montero","doi":"10.15585/mmwr.ss7309a1","DOIUrl":"10.15585/mmwr.ss7309a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2022, homicide was the second leading cause of death for Hispanic and Latino persons aged 15-24 years in the United States, the third leading cause of death for those aged 25-34 years, and the fourth leading cause of death for those aged 1-14 years. The majority of homicides of females, including among Hispanic and Latino persons, occur in the context of intimate partner violence (IPV). This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on IPV-related homicides of Hispanic and Latino persons in the United States.</p><p><strong>Period covered: </strong>2003-2021.</p><p><strong>Description of system: </strong>NVDRS collects data regarding violent deaths in the United States and links three sources: death certificates, coroner or medical examiner reports, and law enforcement reports. IPV-related homicides include both intimate partner homicides (IPHs) by current or former partners and homicides of corollary victims (e.g., children, family members, and new partners). Findings describe victim and suspect sex, age group, and race and ethnicity; method of injury; type of location where the homicide occurred; precipitating circumstances (i.e., events that contributed to the homicide); and other selected characteristics. Deaths related to each other (e.g., an ex-partner kills the former partner and their new partner) are linked into a single incident. State participation in NVDRS has expanded over time, and the number of states participating has varied by year; data from all available years (2003-2021) and U.S. jurisdictions (49 states, Puerto Rico, and the District of Columbia) were used for this report. Of the 49 states that collect data, all except California and Texas collect data statewide; Puerto Rico and District of Columbia data are jurisdiction wide. Florida was excluded because the data did not meet the completeness threshold for circumstances.</p><p><strong>Results: </strong>NVDRS collected data on 24,581 homicides of Hispanic and Latino persons, and data from all available years (2003-2021) and U.S. jurisdictions (49 states, Puerto Rico, and the District of Columbia) were examined. Among homicides with known circumstances (n = 17,737), a total of 2,444 were classified as IPV-related (13.8%). Nearly half of female homicides (n = 1,453; 48.2%) and 6.7% (n = 991) of male homicides were IPV-related; however, among all Hispanic and Latino homicides, most victims were male (n = 20,627; 83.9%). Among the 2,319 IPV-related homicides with known suspects, 85% (n = 1,205) of suspects were current or former partners for female victims, compared with 26.2% (n = 236) for male Hispanic and Latino victims. Approximately one fifth (71 of 359 [19.8%]) of female IPV-related homicide victims of childbearing age with known pregnancy status were pregnant or ≤1 year postpartum. Approximately 5% of IPV-related homicide victims were identified as Black Hispanic or Latino persons (males: n = ","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"73 9","pages":"1-17"},"PeriodicalIF":37.3,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11655122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814628","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}
引用次数: 0
Waterborne Disease Outbreaks Associated with Splash Pads - United States, 1997-2022. 与防水垫相关的水传播疾病暴发——美国,1997-2022。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-12-05 DOI: 10.15585/mmwr.ss7308a1
Hannah Lawinger, Amina Khan, Colleen Lysen, Marydale Oppert, Vince R Hill, Jonathan S Yoder, Virginia A Roberts, Mia C Mattioli, Michele C Hlavsa

Problem/condition: Splash pads are recreational interactive water venues that spray or jet water on users. Splash pads are intended for children aged <5 years and designed so that water typically does not collect in areas accessible to users, thereby minimizing the risk for drowning. Splash pads were first found to be associated with waterborne disease outbreaks in 1997.

Period covered: 1997-2022.

Description of system: Since 1971, waterborne disease outbreaks have been voluntarily reported to CDC by state, local, and territorial health departments using a standard paper form via the Waterborne Disease and Outbreak Surveillance System (WBDOSS). Beginning in 2009, WBDOSS reporting was made available exclusively through the National Outbreak Reporting System, a web-based platform. This report characterizes waterborne disease outbreaks associated with splash pads reported to CDC that occurred during 1997-2022.

Results: During 1997-2022, public health officials from 23 states and Puerto Rico reported 60 waterborne disease outbreaks associated with splash pads. These reported outbreaks resulted in 10,611 cases, 152 hospitalizations, 99 emergency department visits, and no reported deaths. The 40 (67%) outbreaks confirmed to be caused, in part, by Cryptosporidium resulted in 9,622 (91%) cases and 123 (81%) hospitalizations. Two outbreaks suspected to be caused by norovirus resulted in 72 (73%) emergency department visits.

Interpretation: Waterborne pathogens that cause acute gastrointestinal illness can be transmitted by ingesting water contaminated with feces from infected persons. Chlorine is the primary barrier to pathogen transmission in splash pad water. However, Cryptosporidium is tolerant to chlorine and is the most common cause of reported waterborne disease outbreaks associated with splash pads.

Public health action: Public health officials and the aquatics sector can use the findings in this report to promote the prevention of splash pad-associated outbreaks (e.g., recommended user behaviors) and guide the construction, operation, and management of splash pads. Public health practitioners and the aquatics sector also can collaborate to voluntarily adopt CDC's Model Aquatic Health Code recommendations to prevent waterborne illness associated with splash pads.

问题/状况:飞溅垫是娱乐互动水上场所,向使用者喷水或喷射水。防溅垫适用于年龄较大的儿童。涵盖时间:1997-2022。系统描述:自1971年以来,州、地方和地区卫生部门通过水传播疾病和暴发监测系统(WBDOSS)使用标准纸质表格自愿向疾病预防控制中心报告水传播疾病暴发。从2009年开始,WBDOSS报告完全通过国家疫情报告系统(一个基于网络的平台)提供。本报告描述了1997-2022年期间向疾病预防控制中心报告的与飞溅垫有关的水传播疾病暴发。结果:1997-2022年期间,来自23个州和波多黎各的公共卫生官员报告了60起与飞溅垫有关的水传播疾病暴发。这些报告的暴发导致10,611例病例,152例住院,99例急诊,无死亡报告。经证实部分由隐孢子虫引起的40例(67%)暴发导致9,622例(91%)病例和123例(81%)住院。两次疑似由诺如病毒引起的暴发导致72例(73%)急诊就诊。解释:引起急性胃肠道疾病的水传播病原体可通过饮用被感染者粪便污染的水传播。氯是飞溅垫水中病原体传播的主要屏障。然而,隐孢子虫对氯具有耐受性,并且是与飞溅垫相关的水传播疾病暴发的最常见原因。公共卫生行动:公共卫生官员和水上运动部门可以利用本报告中的调查结果,促进预防与飞溅垫有关的疫情(例如,建议的用户行为),并指导飞溅垫的建设、运营和管理。公共卫生从业人员和水上运动部门也可以合作自愿采用疾病预防控制中心的示范水生健康规范建议,以防止与飞溅垫有关的水传播疾病。
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引用次数: 0
Abortion Surveillance - United States, 2022. 流产监控 - 美国,2022 年。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-11-28 DOI: 10.15585/mmwr.ss7307a1
Stephanie Ramer, Antoinette T Nguyen, Lisa M Hollier, Jessica Rodenhizer, Lee Warner, Maura K Whiteman
<p><strong>Problem/condition: </strong>CDC conducts abortion surveillance to document the number and characteristics of women obtaining legal induced abortions and the number of abortion-related deaths in the United States.</p><p><strong>Period covered: </strong>2022.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies for the 50 states, the District of Columbia, and New York City. For 2022, a total of 48 reporting areas voluntarily provided aggregate abortion data to CDC. Of these, 47 reporting areas provided data each year during 2013-2022. 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. Abortion-related deaths from 2021 were assessed as part of CDC's Pregnancy Mortality Surveillance System (PMSS).</p><p><strong>Results: </strong>For 2022, a total of 613,383 abortions were reported to CDC from 48 reporting areas. Among 47 reporting areas with data each year during 2013-2022, in 2022, a total of 609,360 abortions were reported, the abortion rate was 11.2 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 199 abortions per 1,000 live births. From 2021 to 2022, the total number of abortions decreased 2% (from 622,108 total abortions), the abortion rate decreased 3% (from 11.6 abortions per 1,000 women aged 15-44 years), and the abortion ratio decreased 2% (from 204 abortions per 1,000 live births). From 2013 to 2022, the total number of reported abortions decreased 5% (from 640,154), the abortion rate decreased 10% (from 12.4 abortions per 1,000 women aged 15-44 years), and the abortion ratio increased 1% (from 198 abortions per 1,000 live births).In 2022, women in their 20s accounted for more than half of abortions (56.5%). Women aged 20-24 and 25-29 years accounted for the highest percentages of abortions (28.3% and 28.2%, respectively) and had the highest abortion rates (18.1 and 18.7 abortions per 1,000 women aged 20-24 and 25-29 years, respectively). By contrast, adolescents aged <15 years and women aged ≥40 years accounted for the lowest percentages of abortions (0.2% and 3.6%, respectively) and had the lowest abortion rates (0.4 and 2.5 abortions per 1,000 women aged <15 and ≥40 years, respectively). However, abortion ratios were highest among adolescents (aged ≤19 years) and lowest among women aged 30-39 years.From 2021 to 2022, abortion rates decreased among women aged ≥20 years and did not change among adolescents (aged ≤19 years). Abortion rates decreased from 2013 to 2022 among all age groups, except women aged 30-34 years for whom it increased. The decrease in the abortion rate from 2013 to 2022 was highest among adolescents compared with other age groups. From 2021 to 2022, abortion ratios increased for adolescents and decreased among women aged ≥20 years. From 2013 to 2022, abortion ratios increased among adoles
问题/条件:疾病预防控制中心对人工流产进行监测,以记录美国合法人工流产妇女的数量和特征,以及与人工流产相关的死亡人数:每年,美国疾病预防控制中心都会要求 50 个州、哥伦比亚特区和纽约市的中央卫生机构提供堕胎数据。2022 年,共有 48 个报告地区自愿向疾病预防控制中心提供堕胎综合数据。其中,47 个报告地区在 2013-2022 年期间每年都提供了数据。人口普查和出生率数据分别用于计算堕胎率(每千名 15-44 岁女性的堕胎数量)和比率(每千名活产婴儿的堕胎数量)。作为疾病预防控制中心妊娠死亡监测系统(PMSS)的一部分,对2021年与人工流产相关的死亡进行了评估:2022 年,48 个报告地区共向疾病预防控制中心报告了 613,383 例人工流产。在 2013-2022 年期间每年都有数据的 47 个报告地区中,2022 年共报告了 609360 例人工流产,人工流产率为每 1000 名 15-44 岁女性中有 11.2 例人工流产,人工流产率为每 1000 例活产中有 199 例人工流产。从 2021 年到 2022 年,堕胎总数下降了 2%(从 622 108 例堕胎总数下降),堕胎率下降了 3%(从每千名 15-44 岁妇女 11.6 例堕胎下降),堕胎率下降了 2%(从每千名活产婴儿 204 例堕胎下降)。从 2013 年到 2022 年,报告的堕胎总数减少了 5%(从 640 154 例减少到 640 154 例),堕胎率下降了 10%(从每千名 15-44 岁妇女 12.4 例堕胎减少到每千名 15-44 岁妇女 12.4 例堕胎),堕胎率上升了 1%(从每千名活产婴儿 198 例堕胎上升到每千名活产婴儿 198 例堕胎)。20-24 岁和 25-29 岁妇女的堕胎比例最高(分别为 28.3% 和 28.2%),堕胎率也最高(每千名 20-24 岁和 25-29 岁妇女的堕胎率分别为 18.1 和 18.7)。相比之下,妊娠 13 周的青少年堕胎率仍然较低(≤8.7%)。2022 年,妊娠≤9 周的早期药物流产所占比例最高(53.3%),其次是妊娠≤13 周的手术流产(35.5%)、妊娠>13 周的手术流产(6.9%)和妊娠>9 周的药物流产(4.3%);所有其他方法都不常见(解释:在 47 个连续报告数据的地区中,妊娠≤9 周的早期药物流产所占比例最高(53.3%),其次是妊娠≤13 周的手术流产(35.5%)、妊娠>13 周的手术流产(6.9%)和妊娠>9 周的药物流产(4.3%):在2013-2022年期间连续报告数据的47个地区中,观察到在此期间报告的堕胎数量和比率总体下降,堕胎比率上升;此外,从2021年到2022年,观察到所有措施均下降2%-3%:流产监测可用于帮助评估旨在促进美国公平获得以患者为中心的优质避孕服务的计划,以减少意外怀孕。
{"title":"Abortion Surveillance - United States, 2022.","authors":"Stephanie Ramer, Antoinette T Nguyen, Lisa M Hollier, Jessica Rodenhizer, Lee Warner, Maura K Whiteman","doi":"10.15585/mmwr.ss7307a1","DOIUrl":"10.15585/mmwr.ss7307a1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Problem/condition: &lt;/strong&gt;CDC conducts abortion surveillance to document the number and characteristics of women obtaining legal induced abortions and the number of abortion-related deaths in the United States.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Period covered: &lt;/strong&gt;2022.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Description of system: &lt;/strong&gt;Each year, CDC requests abortion data from the central health agencies for the 50 states, the District of Columbia, and New York City. For 2022, a total of 48 reporting areas voluntarily provided aggregate abortion data to CDC. Of these, 47 reporting areas provided data each year during 2013-2022. 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. Abortion-related deaths from 2021 were assessed as part of CDC's Pregnancy Mortality Surveillance System (PMSS).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;For 2022, a total of 613,383 abortions were reported to CDC from 48 reporting areas. Among 47 reporting areas with data each year during 2013-2022, in 2022, a total of 609,360 abortions were reported, the abortion rate was 11.2 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 199 abortions per 1,000 live births. From 2021 to 2022, the total number of abortions decreased 2% (from 622,108 total abortions), the abortion rate decreased 3% (from 11.6 abortions per 1,000 women aged 15-44 years), and the abortion ratio decreased 2% (from 204 abortions per 1,000 live births). From 2013 to 2022, the total number of reported abortions decreased 5% (from 640,154), the abortion rate decreased 10% (from 12.4 abortions per 1,000 women aged 15-44 years), and the abortion ratio increased 1% (from 198 abortions per 1,000 live births).In 2022, women in their 20s accounted for more than half of abortions (56.5%). Women aged 20-24 and 25-29 years accounted for the highest percentages of abortions (28.3% and 28.2%, respectively) and had the highest abortion rates (18.1 and 18.7 abortions per 1,000 women aged 20-24 and 25-29 years, respectively). By contrast, adolescents aged &lt;15 years and women aged ≥40 years accounted for the lowest percentages of abortions (0.2% and 3.6%, respectively) and had the lowest abortion rates (0.4 and 2.5 abortions per 1,000 women aged &lt;15 and ≥40 years, respectively). However, abortion ratios were highest among adolescents (aged ≤19 years) and lowest among women aged 30-39 years.From 2021 to 2022, abortion rates decreased among women aged ≥20 years and did not change among adolescents (aged ≤19 years). Abortion rates decreased from 2013 to 2022 among all age groups, except women aged 30-34 years for whom it increased. The decrease in the abortion rate from 2013 to 2022 was highest among adolescents compared with other age groups. From 2021 to 2022, abortion ratios increased for adolescents and decreased among women aged ≥20 years. From 2013 to 2022, abortion ratios increased among adoles","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"73 7","pages":"1-28"},"PeriodicalIF":37.3,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11616987/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142741000","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}
引用次数: 0
Laboratory-Confirmed Influenza-Associated Hospitalizations Among Children and Adults - Influenza Hospitalization Surveillance Network, United States, 2010-2023. 实验室确诊的儿童和成人流感相关住院病例 - 流感住院监测网络,美国,2010-2023 年。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-10-31 DOI: 10.15585/mmwr.ss7706a1
Angelle Naquin, Alissa O'Halloran, Dawud Ujamaa, Devi Sundaresan, Svetlana Masalovich, Charisse N Cummings, Kameela Noah, Seema Jain, Pam Daily Kirley, Nisha B Alden, Elizabeth Austin, James Meek, Kimberly Yousey-Hindes, Kyle Openo, Lucy Witt, Maya L Monroe, Justin Henderson, Val Tellez Nunez, Ruth Lynfield, Melissa McMahon, Yomei P Shaw, Caroline McCahon, Nancy Spina, Kerianne Engesser, Brenda L Tesini, Maria A Gaitan, Eli Shiltz, Krista Lung, Melissa Sutton, M Andraya Hendrick, William Schaffner, H Keipp Talbot, Andrea George, Hafsa Zahid, Carrie Reed, Shikha Garg, Catherine H Bozio
<p><strong>Problem/condition: </strong>Seasonal influenza accounts for 9.3 million-41 million illnesses, 100,000-710,000 hospitalizations, and 4,900-51,000 deaths annually in the United States. Since 2003, the Influenza Hospitalization Surveillance Network (FluSurv-NET) has been conducting population-based surveillance for laboratory-confirmed influenza-associated hospitalizations in the United States, including weekly rate estimations and descriptions of clinical characteristics and outcomes for hospitalized patients. However, a comprehensive summary of trends in hospitalization rates and clinical data collected from the surveillance platform has not been available.</p><p><strong>Reporting period: </strong>2010-11 through 2022-23 influenza seasons.</p><p><strong>Description of system: </strong>FluSurv-NET conducts population-based surveillance for laboratory-confirmed influenza-associated hospitalizations among children and adults. During the reporting period, the surveillance network included 13-16 participating sites each influenza season, with prespecified geographic catchment areas that covered 27 million-29 million persons and included an estimated 8.8%-9.5% of the U.S. population. A case was defined as a person residing in the catchment area within one of the participating states who had a positive influenza laboratory test result within 14 days before or at any time during their hospitalization. Each site abstracted case data from hospital medical records into a standardized case report form, with selected variables submitted to CDC on a weekly basis for rate estimations. Weekly and cumulative laboratory-confirmed influenza-associated hospitalization rates per 100,000 population were calculated for each season from 2010-11 through 2022-23 and stratified by patient age (0-4 years, 5-17 years, 18-49 years, 50-64 years, and ≥65 years), sex, race and ethnicity, influenza type, and influenza A subtype. During the 2020-21 season, only the overall influenza hospitalization rate was reported because case counts were insufficient to estimate stratified rates.</p><p><strong>Results: </strong>During the 2010-11 to 2022-23 influenza seasons, laboratory-confirmed influenza-associated hospitalization rates varied significantly across seasons. Before the COVID-19 pandemic, hospitalization rates per 100,000 population ranged from 8.7 (2011-12) to 102.9 (2017-18) and had consistent seasonality. After SARS-CoV-2 emerged, the hospitalization rate for 2020-21 was 0.8, and the rate did not return to recent prepandemic levels until 2022-23. Inconsistent seasonality also was observed during 2020-21 through 2022-23, with influenza activity being very low during 2020-21, extending later than usual during 2021-22, and occurring early during 2022-23. Molecular assays, particularly multiplex standard molecular assays, were the most common influenza test type in recent seasons, increasing from 12% during 2017-18 for both pediatric and adult cases to 43% and 55% durin
在所有入院患者中进行流感筛查)可能会对发现住院患者中的流感感染产生影响。抗病毒药物的使用在最近几个季节有所减少,应进一步评估减少的原因:公共卫生行动:继续加强流感监测对于监测鼓励抗病毒治疗和改善流感住院患者临床治疗效果的工作进展至关重要。此外,强有力的流感监测还可以为增加流感预防措施的使用提供信息,并监测住院率的任何后续变化,从而有可能减少差异。
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引用次数: 0
Surveillance for Violent Deaths - National Violent Death Reporting System, 48 States, the District of Columbia, and Puerto Rico, 2021. 暴力死亡监测--全国暴力死亡报告系统,48 个州、哥伦比亚特区和波多黎各,2021 年。
IF 37.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-07-11 DOI: 10.15585/mmwr.ss7305a1
Brenda L Nguyen, Bridget H Lyons, Kaitlin Forsberg, Rebecca F Wilson, Grace S Liu, Carter J Betz, Janet M Blair

Problem/condition: In 2021, approximately 75,000 persons died of violence-related injuries in the United States. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on violent deaths that occurred in 48 states, the District of Columbia, and Puerto Rico in 2021. Results are reported by sex, age group, race and ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics. This report introduces additional incident and circumstance variables, which now include child victim-specific circumstance information. This report also incorporates new U.S. Census Bureau race and ethnicity categories, which now account for more than one race and Native Hawaiian or other Pacific Islander categories and include updated denominators to calculate rates for these populations.

Period covered: 2021.

Description of system: NVDRS collects data regarding violent deaths from death certificates, coroner and medical examiner records, and law enforcement reports. This report includes data collected for violent deaths that occurred in 2021. Data were collected from 48 states (all states with exception of Florida and Hawaii), the District of Columbia, and Puerto Rico. Forty-six states had statewide data, two additional states had data from counties representing a subset of their population (31 California counties, representing 64% of its population, and 13 Texas counties, representing 63% of its population), and the District of Columbia and Puerto Rico had jurisdiction-wide data. NVDRS collates information for each violent death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident.

Results: For 2021, NVDRS collected information on 68,866 fatal incidents involving 70,688 deaths that occurred in 48 states (46 states collecting statewide data, 31 California counties, and 13 Texas counties), and the District of Columbia. The deaths captured in NVDRS accounted for 86.5% of all homicides, legal intervention deaths, suicides, unintentional firearm injury deaths, and deaths of undetermined intent in the United States in 2021. In addition, information was collected for 816 fatal incidents involving 880 deaths in Puerto Rico. Data for Puerto Rico were analyzed separately. Of the 70,688 deaths, the majority (58.2%) were suicides, followed by homicides (31.5%), deaths of undetermined intent that might be due to violence (8.2%), legal intervention deaths (1.3%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions), and unintentional firearm injury deaths (<1.0%). The term "legal intervention" is a classification incorporated into the International Classification of Diseases, Tenth Revision, and does not denote the la

问题/条件:2021 年,美国约有 75,000 人死于与暴力有关的伤害。本报告总结了美国疾病预防控制中心全国暴力死亡报告系统 (NVDRS) 提供的 2021 年发生在美国 48 个州、哥伦比亚特区和波多黎各的暴力死亡数据。报告结果按性别、年龄组、种族和民族、伤害方式、伤害发生地类型、伤害情况和其他选定特征分列。本报告引入了更多的事件和情况变量,其中现在包括儿童受害者的具体情况信息。本报告还纳入了美国人口普查局新的种族和人种类别,现在这些类别包括多个种族和夏威夷原住民或其他太平洋岛民类别,并包括用于计算这些人群比率的最新分母:NVDRS 从死亡证明、验尸官和法医记录以及执法报告中收集有关暴力死亡的数据。本报告包括收集到的 2021 年发生的暴力死亡数据。数据收集自 48 个州(除佛罗里达州和夏威夷州外的所有州)、哥伦比亚特区和波多黎各。46 个州提供了全州数据,另外两个州提供了代表其人口子集的县的数据(加利福尼亚州 31 个县,占其人口的 64%,得克萨斯州 13 个县,占其人口的 63%),哥伦比亚特区和波多黎各提供了整个辖区的数据。NVDRS 整理了每起暴力死亡事件的信息,并将相关死亡事件(如多起凶杀、凶杀后自杀或多起自杀)链接为一起事件:2021 年,NVDRS 收集了 48 个州(46 个州收集全州数据,31 个加利福尼亚州县和 13 个得克萨斯州县)和哥伦比亚特区发生的 68,866 起死亡事件的信息,涉及 70,688 例死亡。NVDRS 采集的死亡人数占 2021 年美国所有凶杀、法律干预死亡、自杀、意外枪支伤害死亡和意图不明死亡人数的 86.5%。此外,还收集了波多黎各涉及 880 人死亡的 816 起死亡事件的信息。对波多黎各的数据进行了单独分析。在 70,688 例死亡中,大多数(58.2%)是自杀,其次是他杀(31.5%)、可能因暴力导致的意图不明的死亡(8.2%)、合法干预死亡(1.3%)(即执法人员和其他有合法权力使用致命武力的人员在执行公务时造成的死亡,不包括合法处决),以及非故意枪支伤害死亡(解释:"非故意枪支伤害死亡 "是指在执行公务时使用致命武力造成的死亡:本报告详细总结了 NVDRS 提供的 2021 年发生的暴力死亡数据。亚裔美国人/印第安人和白人男性的自杀率最高,而黑人男性的凶杀率最高。在女性凶杀案中,亲密伴侣暴力占很大比例。心理健康问题、亲密伴侣问题、人际冲突和严重的生活压力是多种类型死亡的主要诱发因素:暴力是可以预防的,数据可以指导公共卫生行动。NVDRS 数据用于监测与暴力有关的致命伤害的发生情况,并协助公共卫生机构制定、实施和评估旨在减少和预防暴力致死的计划、政策和实践。NVDRS 数据可用于加强预防工作,将其转化为可操作的战略。各州或辖区已使用其暴力死亡报告系统 (VDRS) 数据来指导自杀预防工作,并强调需要额外关注的地方。例如,北卡罗来纳州的暴力死亡报告系统计划数据在扩大与枪支安全和伤害预防相关的活动方面发挥了重要作用。该计划作为合作伙伴的主要数据来源,促使该州成立了暴力预防办公室,重点打击与枪支相关的死亡事件。在缅因州,VDRS 提供了有关执法人员自杀的数据,这些数据被用来帮助支持一项法案,该法案规定在该州的执法培训学院中开展心理健康复原力和意识培训,并计划在惩教人员中开展类似的培训,以解决心理健康、药物使用和酗酒问题。此外,各州和辖区还利用其 VDRS 数据来研究本州或辖区内与凶杀案有关的因素。例如,佐治亚州 VDRS 与亚特兰大市市长减少暴力办公室合作开发了两个公共仪表板,不仅提供了有关暴力死亡的综合数据,还提供了受暴力影响严重的人口地理分布数据,以帮助为暴力预防干预措施提供信息。
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Mmwr Surveillance Summaries
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