Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.10.028
Salvatore Chirumbolo PhD , Umberto Tirelli MD
{"title":"Some comments on the efficiency and simulation of Thailand's Chiang Mai University model for COVID-19 mass vaccination hub","authors":"Salvatore Chirumbolo PhD , Umberto Tirelli MD","doi":"10.1016/j.ajic.2024.10.028","DOIUrl":"10.1016/j.ajic.2024.10.028","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 279-280"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/S0196-6553(24)00913-1
{"title":"Information for Readers","authors":"","doi":"10.1016/S0196-6553(24)00913-1","DOIUrl":"10.1016/S0196-6553(24)00913-1","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Page A8"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.10.037
Rebecca Choudhury MD , Jordan Ehni CIC, MPH , Waleed Javaid MD, FACP, FIDSA, FSHEA , Mateen Jangda BS , Itay Rabinovitz MD , Nikita Ekhelikar MD , Bernard C. Camins MD, MSc
This study sought to determine the incidence and characteristics of midline-associated bloodstream infections (MABSI) at an urban health system during the COVID-19 pandemic. A MABSI rate similar to the central line-associated bloodstream infection rate was found. A large number of MABSI were caused by Staphylococcus spp and Enterococcus spp, as has previously been reported for central line-associated bloodstream infection. Patients with MABSI had high in-hospital mortality rates.
{"title":"The epidemiology of midline-associated bloodstream infections in an urban health care system","authors":"Rebecca Choudhury MD , Jordan Ehni CIC, MPH , Waleed Javaid MD, FACP, FIDSA, FSHEA , Mateen Jangda BS , Itay Rabinovitz MD , Nikita Ekhelikar MD , Bernard C. Camins MD, MSc","doi":"10.1016/j.ajic.2024.10.037","DOIUrl":"10.1016/j.ajic.2024.10.037","url":null,"abstract":"<div><div>This study sought to determine the incidence and characteristics of midline-associated bloodstream infections (MABSI) at an urban health system during the COVID-19 pandemic. A MABSI rate similar to the central line-associated bloodstream infection rate was found. A large number of MABSI were caused by <em>Staphylococcus</em> spp and <em>Enterococcus</em> spp, as has previously been reported for central line-associated bloodstream infection. Patients with MABSI had high in-hospital mortality rates.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 274-276"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-level disinfection and sterilization are complex processes, requiring initial and ongoing training of frontline staff.1 A key component of appropriate disinfection and sterilization is point-of-use precleaning performed by front-line staff. Our facility implemented an annual hospital-wide education and competency program for staff that perform precleaning of reusable medical devices.
{"title":"Impact of COVID-19 pandemic on reusable device precleaning training for front-line staff","authors":"Josephine Fox MPH, BSN, RN, CIC, FAPIC , Lydia Grimes-Jenkins MSN, BA, RN, CIC, FAPIC , Heather Gasama MPH , Ashley Lloyd BSN, RN, CIC , Helen Wood MA, BSN, RN, CIC, FAPIC , Satish Munigala MBBS, PhD , David K. Warren MD, MPH","doi":"10.1016/j.ajic.2024.10.003","DOIUrl":"10.1016/j.ajic.2024.10.003","url":null,"abstract":"<div><div>High-level disinfection and sterilization are complex processes, requiring initial and ongoing training of frontline staff.<span><span><sup>1</sup></span></span> A key component of appropriate disinfection and sterilization is point-of-use precleaning performed by front-line staff. Our facility implemented an annual hospital-wide education and competency program for staff that perform precleaning of reusable medical devices.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 269-271"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142455935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.10.036
Kathy Dempsey MNSc, CICP-E , Susan Jain MIPH, PhD, CICP-E , Patricia Bradd PhD , Kate Clezy MBBS, FRACP , David Greenfield PhD
Background
The COVID-19 pandemic resulted in constant changes to Infection Prevention and Control (IPAC) recommendations, impacting clinician capacity to stay up to date. The COVID-19 IPAC Response and Escalation Framework (IPAC Framework), rarely reported or evaluated was developed to provide scalable IPAC guidance during the pandemic to health care in New South Wales (NSW), Australia.
Methods
Using a thematic analysis approach, a qualitative study using an online, cross-sectional survey comprising 27 questions was sent to 248 key stakeholders. Participants were health workers with broad clinical and system representation with responsibilities for risk assessment, communicating, implementing, or monitoring the IPAC Framework.
Results
The IPAC Framework provided a useful IPAC tool for the management of COVID-19 as perceived by 93% of respondents. The overwhelming majority (91%) reported the Framework provided enough information on IPAC strategies needed for COVID-19 that were aligned with transmission risk. Resources supporting the IPAC Framework were reported by most respondents (84%) as being widely accepted as the authoritative guidance.
Conclusions
An IPAC Framework is perceived as invaluable by clinicians and administrators to manage IPAC requirements in health care during a pandemic. The IPAC Framework can be applied more generally to support ongoing IPAC requirements.
{"title":"Infection Prevention and Control Response and Escalation Framework: Evaluation and application beyond a pandemic","authors":"Kathy Dempsey MNSc, CICP-E , Susan Jain MIPH, PhD, CICP-E , Patricia Bradd PhD , Kate Clezy MBBS, FRACP , David Greenfield PhD","doi":"10.1016/j.ajic.2024.10.036","DOIUrl":"10.1016/j.ajic.2024.10.036","url":null,"abstract":"<div><h3>Background</h3><div>The COVID-19 pandemic resulted in constant changes to Infection Prevention and Control (IPAC) recommendations, impacting clinician capacity to stay up to date. The COVID-19 IPAC Response and Escalation Framework (IPAC Framework), rarely reported or evaluated was developed to provide scalable IPAC guidance during the pandemic to health care in New South Wales (NSW), Australia.</div></div><div><h3>Methods</h3><div>Using a thematic analysis approach, a qualitative study using an online, cross-sectional survey comprising 27 questions was sent to 248 key stakeholders. Participants were health workers with broad clinical and system representation with responsibilities for risk assessment, communicating, implementing, or monitoring the IPAC Framework.</div></div><div><h3>Results</h3><div>The IPAC Framework provided a useful IPAC tool for the management of COVID-19 as perceived by 93% of respondents. The overwhelming majority (91%) reported the Framework provided enough information on IPAC strategies needed for COVID-19 that were aligned with transmission risk. Resources supporting the IPAC Framework were reported by most respondents (84%) as being widely accepted as the authoritative guidance.</div></div><div><h3>Conclusions</h3><div>An IPAC Framework is perceived as invaluable by clinicians and administrators to manage IPAC requirements in health care during a pandemic. The IPAC Framework can be applied more generally to support ongoing IPAC requirements.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 188-195"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.10.033
Olayinka Oremade MD, MPH, CIC , Barbara Odac MD , Jinzy George MD , Frederick Browne MD, MBA, FACP, GSHEA, FASAM
{"title":"Response to the letter to the editor regarding “The impact of a novel color additive for disinfectant wipes on room cleanliness and turnover time”","authors":"Olayinka Oremade MD, MPH, CIC , Barbara Odac MD , Jinzy George MD , Frederick Browne MD, MBA, FACP, GSHEA, FASAM","doi":"10.1016/j.ajic.2024.10.033","DOIUrl":"10.1016/j.ajic.2024.10.033","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 282-283"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.08.009
Xue-Dong Song MM , Hui-Xia Gao MM , Hao Tan MB , Yan-Yan Xie MB , Xin Zhang MM , Chen-Min Zhang MB , Yu-Ling Wang MM , Er-Hei Dai MD
Background
To analyze the epidemiological characteristics of the SARS-CoV-2 infection and reinfection associated with the emergence of Omicron variant in Healthcare workers (HCWs).
Methods
We enrolled 760 HCWs who received 2-4 vaccination doses of COVID-19 and followed by BA.5/BF.7 and/or XBB.1.5 breakthrough infections between December 2022 and July 2023. Serum sample from each individual were collected approximately 1,3 and 6 months after last exposure. IgM, IgG and Total antibodies against SARS-CoV-2 were measured by chemiluminescent immunoassay. Meanwhile, we created an Enterprise WeChat link for HCWs to self-report SARS-CoV-2 infections, symptoms and post COVID-19 conditions.
Results
Our study revealed that the reinfection rate among HCWs reached 26.1%. The main symptoms were fever (91.2% vs 60.1%), cough (78.8% vs 58.0%), and sore throat (75.4% vs 59.6%) during infection and reinfection in Omicron BA.5/BF.7 and XBB.1.5 wave, and the interval for reinfection ranged from 91 to 210 days (median 152). Fatigue (23.6%), memory loss (18.8%) and coughing (18.6%) were the most prevalent long COVID symptoms, with a higher prevalence among female HCWs.
Conclusions
HCWs reinfection with SARS-CoV-2 causes milder symptoms, but high reinfection rate and short intervals. Strengthen infection prevention and control is crucial to mitigating infection risk and improving health services.
{"title":"Prevalence of infection and reinfection among health care workers in a hospital of Northern China between BA.5/BF.7 and XBB.1.5 wave","authors":"Xue-Dong Song MM , Hui-Xia Gao MM , Hao Tan MB , Yan-Yan Xie MB , Xin Zhang MM , Chen-Min Zhang MB , Yu-Ling Wang MM , Er-Hei Dai MD","doi":"10.1016/j.ajic.2024.08.009","DOIUrl":"10.1016/j.ajic.2024.08.009","url":null,"abstract":"<div><h3>Background</h3><div>To analyze the epidemiological characteristics of the SARS-CoV-2 infection and reinfection associated with the emergence of Omicron variant in Healthcare workers (HCWs).</div></div><div><h3>Methods</h3><div>We enrolled 760 HCWs who received 2-4 vaccination doses of COVID-19 and followed by BA.5/BF.7 and/or XBB.1.5 breakthrough infections between December 2022 and July 2023. Serum sample from each individual were collected approximately 1,3 and 6 months after last exposure. IgM, IgG and Total antibodies against SARS-CoV-2 were measured by chemiluminescent immunoassay. Meanwhile, we created an Enterprise WeChat link for HCWs to self-report SARS-CoV-2 infections, symptoms and post COVID-19 conditions.</div></div><div><h3>Results</h3><div>Our study revealed that the reinfection rate among HCWs reached 26.1%. The main symptoms were fever (91.2% vs 60.1%), cough (78.8% vs 58.0%), and sore throat (75.4% vs 59.6%) during infection and reinfection in Omicron BA.5/BF.7 and XBB.1.5 wave, and the interval for reinfection ranged from 91 to 210 days (median 152). Fatigue (23.6%), memory loss (18.8%) and coughing (18.6%) were the most prevalent long COVID symptoms, with a higher prevalence among female HCWs.</div></div><div><h3>Conclusions</h3><div>HCWs reinfection with SARS-CoV-2 causes milder symptoms, but high reinfection rate and short intervals. Strengthen infection prevention and control is crucial to mitigating infection risk and improving health services.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 228-238"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141995112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.09.021
Cindy Prins PhD, MPH, CIC , Mishal Khan MHA , Nicole M. Marlow PhD, MSPH , Avery Bollinger MS , Cassandra L. Johnson RN, MPH , Jamie L. Pomeranz PhD , Sally M. Bethart DNP, APRN, CNE , Kartikeya Cherabuddi MD,FIDSA , Ann L. Horgas PhD, RN , Veena Venugopalan PharmD , Duzgun Agdas PhD , Chang-Yu Wu PhD, MS , Antarpreet Singh Jutla PhD, MSc, MTech , Argentina Charles MPH, CIC , F. Lee Revere PhD, MS
Infections in long-term care facilities pose a critical challenge, with 1 to 3 million serious infections annually and up to 380,000 associated deaths. The vulnerability of aging populations and inadequate infection prevention and control programs underscore the need for intervention. This initiative provided tailored continuing education through 8 virtual learning collaboratives serving 541 infection preventionists. The project also developed 9 infection prevention and control toolkits and a manual to further support long-term care facilities' infection prevention efforts.
{"title":"Development and implementation of learning collaboratives for infection prevention and control education in long-term care facilities","authors":"Cindy Prins PhD, MPH, CIC , Mishal Khan MHA , Nicole M. Marlow PhD, MSPH , Avery Bollinger MS , Cassandra L. Johnson RN, MPH , Jamie L. Pomeranz PhD , Sally M. Bethart DNP, APRN, CNE , Kartikeya Cherabuddi MD,FIDSA , Ann L. Horgas PhD, RN , Veena Venugopalan PharmD , Duzgun Agdas PhD , Chang-Yu Wu PhD, MS , Antarpreet Singh Jutla PhD, MSc, MTech , Argentina Charles MPH, CIC , F. Lee Revere PhD, MS","doi":"10.1016/j.ajic.2024.09.021","DOIUrl":"10.1016/j.ajic.2024.09.021","url":null,"abstract":"<div><div>Infections in long-term care facilities pose a critical challenge, with 1 to 3 million serious infections annually and up to 380,000 associated deaths. The vulnerability of aging populations and inadequate infection prevention and control programs underscore the need for intervention. This initiative provided tailored continuing education through 8 virtual learning collaboratives serving 541 infection preventionists. The project also developed 9 infection prevention and control toolkits and a manual to further support long-term care facilities' infection prevention efforts.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 261-265"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.10.007
Quynh T. Vo PhD , Farzad Noubary PhD , Brandon Dionne PharmD , Shira Doron MD , Benjamin Koethe MPH , Becky A. Briesacher PhD
Background
The high frequency of antibiotic use in US nursing homes is a public health concern. Facility-level prescribing patterns may provide a measure for antibiotic stewardship targeting.
Methods
An analysis of 2018-2019 data from linked files from the Centers for Medicaid and Medicare was conducted. Multilevel generalized linear models were used to calculate odds ratios for antibiotic receipt for calendar year 2019 using the 2018 facility prescribing rate.
Results
In 2019, 186,274 (19%) residents were prescribed an antibiotic. The most frequently prescribed class of antibiotics was cephalosporins (26%), and the average duration of antibiotic use was 9 days. Residents who were dually eligible for Medicare and Medicaid had 37% increased odds of antibiotic receipt (all adjusted odds ratio (aOR): 1.37, 95% confidence interval [CI]: 1.35, 1.39). The 2018 facility prescribing rate was associated with 14% increased odds of antibiotic receipt in 2019 in NHs in the medium (11.9%-20.2%) prescribing category (all aOR: 1.14, 95% CI: 1.11, 1.17) and 36% increased odds of antibiotic receipt in NHs in the high (> 20.3%) prescribing category (all aOR: 1.36, 95% CI: 1.32, 1.40) when compared with the lowest (0%-11.8%) prescribing category.
Conclusions
Antibiotic stewardship strategies should target nursing homes with high antibiotic prescribing rates and high populations of dually eligible patients to improve care in this population.
{"title":"Facility-level antibiotic prescribing rates and the use of antibiotics among nursing home residents","authors":"Quynh T. Vo PhD , Farzad Noubary PhD , Brandon Dionne PharmD , Shira Doron MD , Benjamin Koethe MPH , Becky A. Briesacher PhD","doi":"10.1016/j.ajic.2024.10.007","DOIUrl":"10.1016/j.ajic.2024.10.007","url":null,"abstract":"<div><h3>Background</h3><div>The high frequency of antibiotic use in US nursing homes is a public health concern. Facility-level prescribing patterns may provide a measure for antibiotic stewardship targeting.</div></div><div><h3>Methods</h3><div>An analysis of 2018-2019 data from linked files from the Centers for Medicaid and Medicare was conducted. Multilevel generalized linear models were used to calculate odds ratios for antibiotic receipt for calendar year 2019 using the 2018 facility prescribing rate.</div></div><div><h3>Results</h3><div>In 2019, 186,274 (19%) residents were prescribed an antibiotic. The most frequently prescribed class of antibiotics was cephalosporins (26%), and the average duration of antibiotic use was 9 days. Residents who were dually eligible for Medicare and Medicaid had 37% increased odds of antibiotic receipt (all adjusted odds ratio (aOR): 1.37, 95% confidence interval [CI]: 1.35, 1.39). The 2018 facility prescribing rate was associated with 14% increased odds of antibiotic receipt in 2019 in NHs in the medium (11.9%-20.2%) prescribing category (all aOR: 1.14, 95% CI: 1.11, 1.17) and 36% increased odds of antibiotic receipt in NHs in the high (> 20.3%) prescribing category (all aOR: 1.36, 95% CI: 1.32, 1.40) when compared with the lowest (0%-11.8%) prescribing category.</div></div><div><h3>Conclusions</h3><div>Antibiotic stewardship strategies should target nursing homes with high antibiotic prescribing rates and high populations of dually eligible patients to improve care in this population.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 254-260"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142455933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.ajic.2024.10.001
Andrew P. Shoubridge PhD , Amanda Brass PhD , Levi Elms BHSc(Hons) , Sarah K. Sims BSc(Hons) , Angela Anderson MSN , Dylan Mordaunt PhD , Maria Crotty PhD , Lito E. Papanicolas PhD , Steven L. Taylor PhD , Geraint B. Rogers PhD
Measures to reduce airborne pathogen transmission in health care settings, such as increased air exchange, air decontamination, and reductions in peak occupancy, can be expensive and disruptive, particularly when employed in an untargeted manner. We report the empirical identification of high transmission risk zones in a tertiary hospital, using carbon dioxide-based assessments of air exchange. This rapid, cost-effective, and unobtrusive approach led to the targeted remediation of a high transmission risk zone.
{"title":"Atmospheric CO2 monitoring to identify zones of increased airborne pathogen transmission risk in hospital settings","authors":"Andrew P. Shoubridge PhD , Amanda Brass PhD , Levi Elms BHSc(Hons) , Sarah K. Sims BSc(Hons) , Angela Anderson MSN , Dylan Mordaunt PhD , Maria Crotty PhD , Lito E. Papanicolas PhD , Steven L. Taylor PhD , Geraint B. Rogers PhD","doi":"10.1016/j.ajic.2024.10.001","DOIUrl":"10.1016/j.ajic.2024.10.001","url":null,"abstract":"<div><div>Measures to reduce airborne pathogen transmission in health care settings, such as increased air exchange, air decontamination, and reductions in peak occupancy, can be expensive and disruptive, particularly when employed in an untargeted manner. We report the empirical identification of high transmission risk zones in a tertiary hospital, using carbon dioxide-based assessments of air exchange. This rapid, cost-effective, and unobtrusive approach led to the targeted remediation of a high transmission risk zone.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 266-268"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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