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Choi J, Choi S, Lee B, Park YJ, Lee SE. Identifying risk factors for COVID-19 cluster infections in schools in the Republic of Korea: a case-control study. Osong Public Health Res Perspect 2024; 15:375-382. [PMID: 38988091 PMCID: PMC11391371 DOI: 10.24171/j.phrp.2023.0351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/21/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND No study has yet analyzed risk factors to determine whether students with confirmed coronavirus disease 2019 (COVID-19) infections may affect students at neighboring schools. Therefore, this study aimed to determine risk factors for COVID-19 transmission among schools within a community in the Republic of Korea. METHODS An epidemiological investigation was conducted among 696 students and school staff members at 3 schools where COVID-19 clusters began on October 15, 2021. Interviews, visit history surveys, a facility risk assessment, and closed-circuit television were used to identify risk factors. The statistical significance of risk factors was also evaluated. RESULTS We confirmed 129 cases (18.5%) among the individuals exposed to COVID-19 at the 3 schools, many of whom had a history of visiting the same multi-use facilities. The odds ratio of having visited multi-use facilities such as karaoke rooms was 1.90 (95% confidence interval, 1.03-3.50); the number of visits to a karaoke room and the visit durations were significantly higher among confirmed cases than non-confirmed cases (p=0.02 and p=0.03, respectively). CONCLUSION Having a history of visiting karaoke rooms often and spending a long time there were risk factors for COVID-19 infection and inter-school transmission. Thus, it is necessary to investigate the status of multi-use facilities frequently visited by adolescents and consider incorporating them into the scope of school quarantine to prevent infectious diseases at schools in a community.
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Affiliation(s)
- Jihyun Choi
- Division of Control for Zoonotic and Vector Borne Disease, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Seongju Choi
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Baigu Lee
- Serious Crime Team, Bundang Police Station, Korea National Police Agency, Seongnam, Republic of Korea
| | - Young-Joon Park
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Sang Eun Lee
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
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Andrup L, Krogfelt KA, Stephansen L, Hansen KS, Graversen BK, Wolkoff P, Madsen AM. Reduction of acute respiratory infections in day-care by non-pharmaceutical interventions: a narrative review. Front Public Health 2024; 12:1332078. [PMID: 38420031 PMCID: PMC10899481 DOI: 10.3389/fpubh.2024.1332078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/02/2024] [Indexed: 03/02/2024] Open
Abstract
Objective Children who start in day-care have 2-4 times as many respiratory infections compared to children who are cared for at home, and day-care staff are among the employees with the highest absenteeism. The extensive new knowledge that has been generated in the COVID-19 era should be used in the prevention measures we prioritize. The purpose of this narrative review is to answer the questions: Which respiratory viruses are the most significant in day-care centers and similar indoor environments? What do we know about the transmission route of these viruses? What evidence is there for the effectiveness of different non-pharmaceutical prevention measures? Design Literature searches with different terms related to respiratory infections in humans, mitigation strategies, viral transmission mechanisms, and with special focus on day-care, kindergarten or child nurseries, were conducted in PubMed database and Web of Science. Searches with each of the main viruses in combination with transmission, infectivity, and infectious spread were conducted separately supplemented through the references of articles that were retrieved. Results Five viruses were found to be responsible for ≈95% of respiratory infections: rhinovirus, (RV), influenza virus (IV), respiratory syncytial virus (RSV), coronavirus (CoV), and adenovirus (AdV). Novel research, emerged during the COVID-19 pandemic, suggests that most respiratory viruses are primarily transmitted in an airborne manner carried by aerosols (microdroplets). Conclusion Since airborne transmission is dominant for the most common respiratory viruses, the most important preventive measures consist of better indoor air quality that reduces viral concentrations and viability by appropriate ventilation strategies. Furthermore, control of the relative humidity and temperature, which ensures optimal respiratory functionality and, together with low resident density (or mask use) and increased time outdoors, can reduce the occurrence of respiratory infections.
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Affiliation(s)
- Lars Andrup
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Karen A Krogfelt
- Department of Science and Environment, Molecular and Medical Biology, PandemiX Center, Roskilde University, Roskilde, Denmark
| | - Lene Stephansen
- Gladsaxe Municipality, Social and Health Department, Gladsaxe, Denmark
| | | | | | - Peder Wolkoff
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Anne Mette Madsen
- The National Research Centre for the Working Environment, Copenhagen, Denmark
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Kawamura H, Arimura S, Saida R, Murata N, Shigemi A, Kodama Y, Nakamura M, Obama Y, Fukuyama R, Hamada Y, Shinkawa N, Sunagawa T, Kamiya H, Nishi J. Enhanced measures, including PCR-based screening and syndromic surveillance for nosocomial outbreaks of the COVID-19 Omicron variant, using descriptive epidemiology and whole-genome sequencing in a Japanese tertiary care hospital. J Infect Chemother 2024; 30:104-110. [PMID: 37717606 DOI: 10.1016/j.jiac.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/21/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023]
Abstract
INTRODUCTION In this study, we aimed to analyze the effectiveness of enhanced preventive measures against nosocomial COVID-19 Omicron outbreaks based on those encountered. METHODS We introduced PCR-based screening and syndromic surveillance, in addition to standard and transmission-based precautions, during a COVID-19 outbreak in three wards of Kagoshima University Hospital, a Japanese tertiary care hospital, in February 2022, amid the Omicron variant endemic. Furthermore, we analyzed the descriptive epidemiology and whole-genome sequencing (WGS) of positive SARS-CoV-2 PCR samples from this outbreak. RESULTS PCR-based screening tests were conducted following the identification of three cases through syndromic surveillance. As a result, 30 individuals tested positive for SARS-CoV-2, including 13 inpatients, five attendant family members, and 12 healthcare workers across the three wards. Notably, no new infections were observed within eight days following the implementation of preventive measures. Among the SARS-CoV-2 genomes analyzed (n = 16; 53.3%), all strains were identified as belonged to BA.1.1 variant. Detailed analysis of descriptive and molecular epidemiology, incorporating single-nucleotide polymorphism analysis of WGS and clarification of transmission links, considering two potential entry routes to the hospital. CONCLUSIONS Introduction of additional preventive measures, including PCR-based screening and syndromic surveillance, in addition to WGS and descriptive epidemiology, is useful for the early intervention of nosocomial outbreaks and for revealing the transmission route of the COVID-19 Omicron variant.
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Affiliation(s)
- Hideki Kawamura
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan.
| | - Shoko Arimura
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Ryuichi Saida
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Nao Murata
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Akari Shigemi
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Yuichi Kodama
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Masatoshi Nakamura
- Clinical Laboratory, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Yuki Obama
- Clinical Laboratory, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Ryuko Fukuyama
- Clinical Laboratory, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
| | - Yuka Hamada
- Kagoshima Prefectural Institute for Environmental Research and Public Health, 11-40 Kinko-cho, Kagoshima, 892-0835, Japan
| | - Naomi Shinkawa
- Kagoshima Prefectural Institute for Environmental Research and Public Health, 11-40 Kinko-cho, Kagoshima, 892-0835, Japan
| | - Tomimasa Sunagawa
- Center for Field Epidemiology Intelligence, Research, and Professional Development, National Institute of Infectious Diseases, Toyama 1-23-1, Shinjuku-ku, Tokyo, 162-8640, Japan
| | - Hajime Kamiya
- Center for Surveillance, Immunization and Epidemiologic Research, National Institute of Infectious Diseases, Toyama 1-23-1, Shinjuku-ku, Tokyo, 162-8640, Japan
| | - Junichiro Nishi
- Department of Infection Control and Prevention, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima, 890-8520, Japan
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Kuribayashi ST, Yamagishi T, Suzuki N, Asari G, Abo R, Yamamoto H, Yasutomi K, Ohara T, Tachibana Y, Shimada T, Sunagawa T. Association of a promotional campaign for local dining facilities with the occurrence of COVID-19 in Asahikawa City, Japan, in November 2021. PUBLIC HEALTH IN PRACTICE 2023; 6:100403. [PMID: 38099089 PMCID: PMC10719406 DOI: 10.1016/j.puhip.2023.100403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/08/2023] [Accepted: 06/12/2023] [Indexed: 12/17/2023] Open
Abstract
Objectives As social restrictions of COVID-19 are being eased worldwide, preventing SARS-CoV-2 transmission among staff members and customers in dining facilities is essential to continuously running business because restaurants and bars are high-risk locations for COVID-19 outbreaks. In 2021, COVID-19 outbreaks occurred at restaurants or bars in Asahikawa city, Japan two weeks after the launch of a promotional campaign for local dining facilities. We investigated this event to assess the association between the promotional campaign and the occurrence of SARS-CoV-2 infection. Study design Cohort study. Methods We assessed the association between the occurrence of COVID-19 cases in the restaurants and bars and their participation in the campaign by calculating risk ratio and 95% confidence interval. Results Cases were identified among workers or customers in 4.0% (4/101) of the participating restaurants or bars and in 1.2% (39/3257) of the non-participating restaurants or bars. The risk ratio was 3.3 (95% confidence interval 1.2-9.0). Conclusion The association between the occurrence of SARS-CoV-2 infection in the restaurants or bars and participation in the campaign is undeniable. Promotional campaigns to vitalize dining facilities should be accompanied by enhanced infection prevention measures, especially ventilation.
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Affiliation(s)
| | - Takuya Yamagishi
- Antimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Naoki Suzuki
- Asahikawa City Public Health Office, Hokkaido, Japan
| | - Go Asari
- Asahikawa City Public Health Office, Hokkaido, Japan
| | - Rieko Abo
- Asahikawa City Public Health Office, Hokkaido, Japan
| | | | | | - Tsukasa Ohara
- Hokkaido Government Department of Health and Welfare, Hokkaido, Japan
| | - Yasuko Tachibana
- Hokkaido Government Department of Health and Welfare, Hokkaido, Japan
| | - Tomoe Shimada
- Center for Field Epidemiology Intelligence, Research, and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan
| | - Tomimasa Sunagawa
- Center for Field Epidemiology Intelligence, Research, and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan
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Yamamura O, Onishi H, Sakamaki I, Fujita R, Miyashita H, Iwasaki H. Infection rate among close contacts of patients with coronavirus disease in Japan: a descriptive study and literature review. ASIAN BIOMED 2023; 17:115-123. [PMID: 37818161 PMCID: PMC10561678 DOI: 10.2478/abm-2023-0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
Background In Japan, on April 20, 2020, the definition of a close contact regarding coronavirus disease (COVID-19) was changed from a long-term contact time to a specified contact time of 15 min and from a contact distance of 2 m to 1 m. Objectives We aimed to determine the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rate among close contacts of patients with COVID-19 and determine the impact of the infection on transmission among close contacts. Methods The numbers of SARS-CoV-2 tests, SARS-CoV-2-positive cases, and close contacts of patients with COVID-19 were assessed between March 2020 and February 2021 in Fukui Prefecture, Japan. The study period was subdivided into 3 periods. The second and third period contained data with the changed definition of close contact. Results Overall, 32,238 SARS-CoV-2 tests were performed. There were 545 patients with COVID-19 and 1487 close contacts, of whom 267 tested positive. The highest infection rate occurred in period 3. Distance, protective measures, and contact time with COVID-19 patients influenced the increased infection rate. The infection rate showed a rising trend from 11.1% in period 1 to 19.2% and 20.0% in periods 2 and 3, respectively (Cochran-Armitage test; P < 0.004). Multivariate analysis revealed that female sex was an independent risk factor for infection of close contacts (odds ratio: 2.23; 95% confidence interval: 1.700-2.930). Conclusions Female sex is a risk factor for transmission by close contacts. The rate of infection among close contacts may be associated with contact time, contact distance, and protective measures.
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Affiliation(s)
- Osamu Yamamura
- Department of Community Medicine, Faculty of Medical Sciences, University of Fukui, Fukui910-1193, Japan
| | - Hidenori Onishi
- Department of Community Medicine, Faculty of Medical Sciences, University of Fukui, Fukui910-1193, Japan
| | - Ippei Sakamaki
- Department of Infectious Diseases, Faculty of Medical Sciences, University of Fukui, Fukui910-1193, Japan
| | - Ryousuke Fujita
- Department of Biostatistics, Faculty of Medical Science, University of Fukui, Fukui910-1193, Japan
| | - Hirofumi Miyashita
- Department of Health and Welfare, Fukui Prefecture, Fukui910-8580, Japan
| | - Hiromichi Iwasaki
- Department of Infection Prevention and Control, University of Fukui Hospital, Fukui910-1193, Japan
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Aganovic A, Cao G, Kurnitski J, Wargocki P. New dose-response model and SARS-CoV-2 quanta emission rates for calculating the long-range airborne infection risk. BUILDING AND ENVIRONMENT 2023; 228:109924. [PMID: 36531865 PMCID: PMC9747236 DOI: 10.1016/j.buildenv.2022.109924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
Predictive models for airborne infection risk have been extensively used during the pandemic, but there is yet still no consensus on a common approach, which may create misinterpretation of results among public health experts and engineers designing building ventilation. In this study we applied the latest data on viral load, aerosol droplet sizes and removal mechanisms to improve the Wells Riley model by introducing the following novelties i) a new model to calculate the total volume of respiratory fluid exhaled per unit time ii) developing a novel viral dose-based generation rate model for dehydrated droplets after expiration iii) deriving a novel quanta-RNA relationship for various strains of SARS-CoV-2 iv) proposing a method to account for the incomplete mixing conditions. These new approaches considerably changed previous estimates and allowed to determine more accurate average quanta emission rates including omicron variant. These quanta values for the original strain of 0.13 and 3.8 quanta/h for breathing and speaking and the virus variant multipliers may be used for simple hand calculations of probability of infection or with developed model operating with six size ranges of aerosol droplets to calculate the effect of ventilation and other removal mechanisms. The model developed is made available as an open-source tool.
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Affiliation(s)
- Amar Aganovic
- Department of Automation and Process Engineering, UiT The Arctic University of Norway, Tromsø, Norway
| | - Guangyu Cao
- Department of Energy and Process Engineering, Norwegian University of Science and Technology - NTNU, Trondheim, Norway
| | - Jarek Kurnitski
- REHVA Technology and Research Committee, Tallinn University of Technology, Tallinn, Estonia
| | - Pawel Wargocki
- Department of Civil Engineering, Technical University of Denmark, Copenhagen, Denmark
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Saito S, Ito MI, Ohnishi T. Fluctuations in the Number of Stores by Industry During the COVID-19 Pandemic Based on Japanese Phone Book Entries. THE REVIEW OF SOCIONETWORK STRATEGIES 2022; 16:545-557. [PMID: 36246776 PMCID: PMC9548308 DOI: 10.1007/s12626-022-00120-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/30/2022] [Indexed: 11/25/2022]
Abstract
Currently in Japan, summaries of the number of bankruptcies due to the spread of COVID-19 can only be obtained from surveys conducted by a few research firms targeting particular companies. In this study, we used Japanese telephone directory data containing detailed information on the location and industrial category of stores/facilities nationwide in an effort to infer the influence of COVID-19 on businesses in Japan. We analyzed the temporal change in the number of stores before and after the COVID-19 outbreak. Among other findings, the analysis revealed that the number of travel agencies and facilities offering karaoke and other forms of entertainment declined significantly after the outbreak in some prefectures, with the largest declines in Ibaraki, Osaka, and Hyogo prefectures, and a relatively small decline in Tochigi prefecture. Among the stores and facilities categorized as restaurants and travel-related services, the decline was particularly significant in urban areas such as Tokyo and Osaka prefectures.
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Affiliation(s)
- Saki Saito
- Graduate School of Artificial Intelligence and Science, Rikkyo University, Tokyo, Japan
| | - Mariko I. Ito
- Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
| | - Takaaki Ohnishi
- Graduate School of Artificial Intelligence and Science, Rikkyo University, The Canon Institute for Global Studies, Tokyo, Japan
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