Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America最新文献

{"title":"Impact of Isolation and Exclusion as a Public Health Strategy to Contain Measles Virus Transmission During a Measles Outbreak.","authors":"Emily Banerjee,&nbsp;Prabasaj Paul,&nbsp;Jayne Griffith,&nbsp;Ellen Laine,&nbsp;Kathryn Como-Sabetti,&nbsp;Paul A Gastañaduy","doi":"10.1093/cid/ciab939","DOIUrl":"https://doi.org/10.1093/cid/ciab939","url":null,"abstract":"<p><p>Responding to measles outbreaks in the United States puts a considerable strain on public health resources, and limited research exists about the effectiveness of containment strategies. In this paper we quantify the impact of isolation, contact tracing, and exclusion in reducing transmission during a measles outbreak in an under-vaccinated community.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"152-154"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39712913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Severe Acute Respiratory Syndrome Coronavirus 2 Vaccination Boosts Neutralizing Activity Against Seasonal Human Coronaviruses.","authors":"Jan Lawrenz,&nbsp;Qinya Xie,&nbsp;Fabian Zech,&nbsp;Tatjana Weil,&nbsp;Alina Seidel,&nbsp;Daniela Krnavek,&nbsp;Lia van der Hoek,&nbsp;Jan Münch,&nbsp;Janis A Müller,&nbsp;Frank Kirchhoff","doi":"10.1093/cid/ciac057","DOIUrl":"https://doi.org/10.1093/cid/ciac057","url":null,"abstract":"BACKGROUND\u0000Most of the millions of people that are vaccinated against SARS-CoV-2, the causative agent of COVID-19, have previously been infected by related circulating human coronaviruses (hCoVs) causing common colds and will experience further encounters with these viruses in the future. Whether or not COVID-19 vaccinations impact neutralization of seasonal coronaviruses is largely unknown.\u0000\u0000\u0000METHODS\u0000We analyzed the capacity of sera derived from 24 individuals before and after heterologous ChAdOx1 nCoV-19 BNT162b2 prime-boost vaccination to neutralize genuine OC43, NL63 and 229E hCoVs, as well as viral pseudoparticles carrying the SARS-CoV-1, SARS-CoV-2, MERS-CoV, hCoV-OC43, -NL63 and -229E spike proteins. Genuine hCoVs or spike containing pseudovirions were incubated with different concentrations of sera and neutralization efficiencies were determined by measuring viral RNA yields, intracellular viral nucleocapsid expression, or reporter gene expression in Huh-7 cells.\u0000\u0000\u0000RESULTS\u0000All individuals showed strong preexisting immunity against hCoV-OC43. Neutralization of hCoV-NL63 was more variable and all sera showed only modest inhibitory activity against genuine hCoV-229E. SARS-CoV-2 vaccination resulted in efficient cross-neutralization of SARS-CoV-1 but not of MERS-CoV. On average, vaccination significantly increased the neutralizing activity against genuine hCoV-OC43, -NL63 and -229E.\u0000\u0000\u0000CONCLUSIONS\u0000Heterologous COVID-19 vaccination may confer some cross-protection against endemic seasonal coronaviruses.","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e653-e661"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b1/b6/ciac057.PMC8807272.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39737030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Randomized Study of Rivaroxaban vs Placebo on Disease Progression and Symptoms Resolution in High-Risk Adults With Mild Coronavirus Disease 2019.","authors":"Jintanat Ananworanich,&nbsp;Robin Mogg,&nbsp;Michael W Dunne,&nbsp;Mohamed Bassyouni,&nbsp;Consuela Vera David,&nbsp;Erika Gonzalez,&nbsp;Taryn Rogalski-Salter,&nbsp;Heather Shih,&nbsp;Jared Silverman,&nbsp;Jeroen Medema,&nbsp;Penny Heaton","doi":"10.1093/cid/ciab813","DOIUrl":"https://doi.org/10.1093/cid/ciab813","url":null,"abstract":"<p><strong>Background: </strong>Severe acute respiratory syndrome coronavirus 2 infection may be associated with a prothrombotic state, predisposing patients for a progressive disease course. We investigated whether rivaroxaban, a direct oral anticoagulant factor Xa inhibitor, would reduce coronavirus disease 2019 (COVID-19) progression.</p><p><strong>Methods: </strong>Adults (N = 497) with mild COVID-19 symptoms and at high risk for COVID-19 progression based on age, body mass index, or comorbidity were randomized 1:1 to either daily oral rivaroxaban 10 mg (N = 246) or placebo equivalent (N = 251) for 21 days and followed to day 35. Primary end points were safety and progression. Absolute difference in progression risk was assessed using a stratified Miettinen and Nurminen method.</p><p><strong>Results: </strong>The study was terminated after 497 of the target 600 participants were enrolled due to a prespecified interim analysis of the first 200 participants that crossed the futility boundary for the primary efficacy end point in the intent-to-treat population. Enrollees were 85% aged <65 years; 60% female; 27% Hispanic, Black, or other minorities; and 69% with ≥2 comorbidities. Rivaroxaban was well tolerated. Disease progression rates were 46 of 222 (20.7%) in rivaroxaban vs 44 of 222 (19.8%) in placebo groups, with a risk difference of -1.0 (95% confidence interval, -6.4 to 8.4; P = .78).</p><p><strong>Conclusions: </strong>We did not demonstrate an impact of rivaroxaban on disease progression in high-risk adults with mild COVID-19. There remains a critical public health gap in identifying scalable effective therapies for high-risk people in the outpatient setting to prevent COVID-19 progression.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e473-e481"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39419758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two Cases of Breakthrough Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infections Caused by the Omicron Variant (B.1.1.529 Lineage) in International Travelers to Japan.","authors":"Taketomo Maruki,&nbsp;Noriko Iwamoto,&nbsp;Kohei Kanda,&nbsp;Nobumasa Okumura,&nbsp;Gen Yamada,&nbsp;Masahiro Ishikane,&nbsp;Mugen Ujiie,&nbsp;Masumichi Saito,&nbsp;Tsuguto Fujimoto,&nbsp;Tsutomu Kageyama,&nbsp;Tomoya Saito,&nbsp;Shinji Saito,&nbsp;Tadaki Suzuki,&nbsp;Norio Ohmagari","doi":"10.1093/cid/ciab1072","DOIUrl":"https://doi.org/10.1093/cid/ciab1072","url":null,"abstract":"<p><p>In November 2021, the World Health Organization designated a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant of concern, Omicron (PANGO lineage B.1.1.529). We report on the first 2 cases of breakthrough coronavirus disease 2019 (COVID-19) caused by Omicron in Japan among international travelers returning from the country with undetected infection. The spread of infection by Omicron were considered.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e354-e356"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755371/pdf/ciab1072.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39781811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining Reproduction Number Estimates to Account for Unobserved Generations of Infection in Emerging Epidemics.","authors":"Andrea Brizzi,&nbsp;Megan O'Driscoll,&nbsp;Ilaria Dorigatti","doi":"10.1093/cid/ciac138","DOIUrl":"https://doi.org/10.1093/cid/ciac138","url":null,"abstract":"<p><strong>Background: </strong>Estimating the transmissibility of infectious diseases is key to inform situational awareness and for response planning. Several methods tend to overestimate the basic (R0) and effective (Rt) reproduction numbers during the initial phases of an epidemic. In this work we explore the impact of incomplete observations and underreporting of the first generations of infections during the initial epidemic phase.</p><p><strong>Methods: </strong>We propose a debiasing procedure that utilizes a linear exponential growth model to infer unobserved initial generations of infections and apply it to EpiEstim. We assess the performance of our adjustment using simulated data, considering different levels of transmissibility and reporting rates. We also apply the proposed correction to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incidence data reported in Italy, Sweden, the United Kingdom, and the United States.</p><p><strong>Results: </strong>In all simulation scenarios, our adjustment outperforms the original EpiEstim method. The proposed correction reduces the systematic bias, and the quantification of uncertainty is more precise, as better coverage of the true R0 values is achieved with tighter credible intervals. When applied to real-world data, the proposed adjustment produces basic reproduction number estimates that closely match the estimates obtained in other studies while making use of a minimal amount of data.</p><p><strong>Conclusions: </strong>The proposed adjustment refines the reproduction number estimates obtained with the current EpiEstim implementation by producing improved, more precise estimates earlier than with the original method. This has relevant public health implications.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e114-e121"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402635/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39931955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission Among Air Passengers in China.","authors":"Maogui Hu,&nbsp;Jinfeng Wang,&nbsp;Hui Lin,&nbsp;Corrine W Ruktanonchai,&nbsp;Chengdong Xu,&nbsp;Bin Meng,&nbsp;Xin Zhang,&nbsp;Alessandra Carioli,&nbsp;Yuqing Feng,&nbsp;Qian Yin,&nbsp;Jessica R Floyd,&nbsp;Nick W Ruktanonchai,&nbsp;Zhongjie Li,&nbsp;Weizhong Yang,&nbsp;Andrew J Tatem,&nbsp;Shengjie Lai","doi":"10.1093/cid/ciab836","DOIUrl":"https://doi.org/10.1093/cid/ciab836","url":null,"abstract":"<p><strong>Background: </strong>Modern transportation plays a key role in the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and new variants. However, little is known about the exact transmission risk of the virus on airplanes.</p><p><strong>Methods: </strong>Using the itinerary and epidemiological data of coronavirus disease 2019 (COVID-19) cases and close contacts on domestic airplanes departing from Wuhan city in China before the lockdown on 23 January 2020, we estimated the upper and lower bounds of overall transmission risk of COVID-19 among travelers.</p><p><strong>Results: </strong>In total, 175 index cases were identified among 5797 passengers on 177 airplanes. The upper and lower attack rates (ARs) of a seat were 0.60% (34/5622, 95% confidence interval [CI] .43-.84%) and 0.33% (18/5400, 95% CI .21-.53%), respectively. In the upper- and lower-bound risk estimates, each index case infected 0.19 (SD 0.45) and 0.10 (SD 0.32) cases, respectively. The seats immediately adjacent to the index cases had an AR of 9.2% (95% CI 5.7-14.4%), with a relative risk 27.8 (95% CI 14.4-53.7) compared to other seats in the upper limit estimation. The middle seat had the highest AR (0.7%, 95% CI .4%-1.2%). The upper-bound AR increased from 0.7% (95% CI 0.5%-1.0%) to 1.2% (95% CI .4-3.3%) when the co-travel time increased from 2.0 hours to 3.3 hours.</p><p><strong>Conclusions: </strong>The ARs among travelers varied by seat distance from the index case and joint travel time, but the variation was not significant between the types of aircraft. The overall risk of SARS-CoV-2 transmission during domestic travel on planes was relatively low. These findings can improve our understanding of COVID-19 spread during travel and inform response efforts in the pandemic.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e234-e240"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402632/pdf/ciab836.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39459360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies.","authors":"Christopher R Bailie,&nbsp;Yeu Yang Tseng,&nbsp;Louise Carolan,&nbsp;Martyn D Kirk,&nbsp;Suellen Nicholson,&nbsp;Annette Fox,&nbsp;Sheena G Sullivan","doi":"10.1093/cid/ciac020","DOIUrl":"https://doi.org/10.1093/cid/ciac020","url":null,"abstract":"<p><p>A key aim of serosurveillance during the coronavirus disease 2019 (COVID-19) pandemic has been to estimate the prevalence of prior infection, by correcting crude seroprevalence against estimated test performance for polymerase chain reaction (PCR)-confirmed COVID-19. We show that poor generalizability of sensitivity estimates to some target populations may lead to substantial underestimation of case numbers.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e357-e360"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39695195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Characteristics and Outcomes of Coronavirus Disease 2019 (COVID-19) in Pregnant Women: A Propensity Score-Matched Analysis of Data From the COVID-19 Registry Japan.","authors":"Kensuke Shoji,&nbsp;Shinya Tsuzuki,&nbsp;Takayuki Akiyama,&nbsp;Nobuaki Matsunaga,&nbsp;Yusuke Asai,&nbsp;Setsuko Suzuki,&nbsp;Noriko Iwamoto,&nbsp;Takanori Funaki,&nbsp;Masaki Yamada,&nbsp;Nobuaki Ozawa,&nbsp;Koushi Yamaguchi,&nbsp;Isao Miyairi,&nbsp;Norio Ohmagari","doi":"10.1093/cid/ciac028","DOIUrl":"https://doi.org/10.1093/cid/ciac028","url":null,"abstract":"<p><strong>Background: </strong>Several studies have investigated whether pregnancy is a risk factor for developing severe coronavirus disease 2019 (COVID-19); however, the results remain controversial. In addition, the information regarding risk factors for developing severe COVID-19 in pregnant women is limited.</p><p><strong>Methods: </strong>A retrospective cohort study analyzing the data from the nationwide COVID-19 registry in Japan was conducted. Propensity score-matched analysis was performed to compare COVID-19 severity between pregnant and nonpregnant women. Multivariate analysis was also conducted to evaluate risk factors for developing moderate-to-severe COVID-19 in pregnant women.</p><p><strong>Results: </strong>During the study period, 254 pregnant and 3752 nonpregnant women of reproductive age were identified. After propensity score matching, 187 pregnant women and 935 nonpregnant women were selected. A composite outcome of moderate-to-severe COVID-19 was more frequently observed in pregnant women than that of nonpregnant women (n = 18 [9.6%] vs n = 46 [4.9%]; P = .0155). In multivariate analysis, the presence of underlying diseases and being in the second-to-third trimester of pregnancy were recognized as risk factors for moderate-to-severe COVID-19 in pregnant women (odds ratio [95% confidence interval]: 5.295 [1.21-23.069] and 3.871 [1.201-12.477], respectively).</p><p><strong>Conclusions: </strong>Pregnancy could be a risk factor for moderate-to-severe COVID-19 for women in Japan. In addition to the presence of comorbidities, advanced pregnancy stages may contribute to greater risks for developing moderate-to-severe COVID-19 in pregnant women.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e397-e402"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807242/pdf/ciac028.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39702955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seroprevalence and Risk Factors for Severe Acute Respiratory Syndrome Coronavirus 2 Among Incarcerated Adult Men in Quebec, Canada, 2021.","authors":"Nadine Kronfli,&nbsp;Camille Dussault,&nbsp;Mathieu Maheu-Giroux,&nbsp;Alexandros Halavrezos,&nbsp;Sylvie Chalifoux,&nbsp;Jessica Sherman,&nbsp;Hyejin Park,&nbsp;Lina Del Balso,&nbsp;Matthew P Cheng,&nbsp;Sébastien Poulin,&nbsp;Joseph Cox","doi":"10.1093/cid/ciac031","DOIUrl":"https://doi.org/10.1093/cid/ciac031","url":null,"abstract":"<p><strong>Background: </strong>People in prison are at increased risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We examined the seroprevalence of SARS-CoV-2 and associated carceral risk factors among incarcerated adult men in Quebec, Canada.</p><p><strong>Methods: </strong>We conducted a cross-sectional seroprevalence study in 2021 across 3 provincial prisons, representing 45% of Quebec's incarcerated male provincial population. The primary outcome was SARS-CoV-2 antibody seropositivity (Roche Elecsys serology test). Participants completed self-administered questionnaires on sociodemographic, clinical, and carceral characteristics. The association of carceral variables with SARS-CoV-2 seropositivity was examined using Poisson regression models with robust standard errors. Crude and adjusted prevalence ratios (aPR) with 95% confidence intervals (95% CIs) were calculated.</p><p><strong>Results: </strong>Between 19 January 2021 and 15 September 2021, 246 of 1100 (22%) recruited individuals tested positive across 3 prisons (range, 15%-27%). Seropositivity increased with time spent in prison since March 2020 (aPR, 2.17; 95% CI, 1.53-3.07 for \"all\" vs \"little time\"), employment during incarceration (aPR, 1.64; 95% CI, 1.28-2.11 vs not), shared meal consumption during incarceration (\"with cellmates\": aPR, 1.46; 95% CI, 1.08-1.97 vs \"alone\"; \"with sector\": aPR, 1.34; 95% CI, 1.03-1.74 vs \"alone\"), and incarceration post-prison outbreak (aPR, 2.32; 95% CI, 1.69-3.18 vs \"pre-outbreak\").</p><p><strong>Conclusions: </strong>The seroprevalence of SARS-CoV-2 among incarcerated individuals was high and varied among prisons. Several carceral factors were associated with seropositivity, underscoring the importance of decarceration and occupational safety measures, individual meal consumption, and enhanced infection prevention and control measures including vaccination during incarceration.</p>","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":" ","pages":"e165-e173"},"PeriodicalIF":11.8,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39702957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring work-related risk of COVID-19: comparison of COVID-19 incidence by occupation and industry – Wisconsin, September 2020-May 2021","authors":"Ian W. Pray, B. Grajewski, Collin Morris, Komi Modji, P. DeJonge, Katherine McCoy, C. Tomasallo, Traci Desalvo, R. Westergaard, J. Meiman","doi":"10.2139/ssrn.4081070","DOIUrl":"https://doi.org/10.2139/ssrn.4081070","url":null,"abstract":"Abstract Background Work-related exposures play an important role in SARS-CoV-2 transmission, yet few studies have measured the risk of COVID-19 across occupations and industries. Methods During September 2020 – May 2021, the Wisconsin Department of Health Services collected occupation and industry data as part of routine COVID-19 case investigations. Adults aged 18-64 years with confirmed or probable COVID-19 in Wisconsin were assigned standardized occupation and industry codes. Cumulative incidence rates were weighted for non-response and calculated using full-time equivalent (FTE) workforce denominators from the 2020 American Community Survey. Results An estimated 11.6% of workers (347,013 of 2.98 million) in Wisconsin, ages 18-64 years, had COVID-19 from September 2020 to May 2021. The highest incidence by occupation (per 100 full-time equivalents) occurred among personal care and services workers (22.4), healthcare practitioners and support staff (20.7), and protective services workers (20.7). High risk sub-groups included nursing assistants and personal care aides (28.8), childcare workers (25.8), food and beverage service workers (25.3), personal appearance workers (24.4), and law enforcement workers (24.1). By industry, incidence was highest in healthcare (18.6); the highest risk sub-sectors were nursing care facilities (30.5) and warehousing (28.5). Conclusions This analysis represents one of the most complete examinations to date of COVID-19 incidence by occupation and industry. Our approach demonstrates the value of standardized occupational data collection by public health, and may be a model for improved occupational surveillance elsewhere. Workers at higher risk of SARS-CoV-2 exposure may benefit from targeted workplace COVID-19 vaccination and mitigation efforts.","PeriodicalId":10421,"journal":{"name":"Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87932955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}