Millica Phiri, Tadatsugu Imamura, Patrick Sakubita, Nelia Langa, Moses Mulenga, Marian Matipa Mulenga, George Kapapi, Michael Mwamba, Jane Nalwimba, Deborah Tembo, Kingsley Keembe, Karen Moompizho, Nkomba Kayeyi, William Ngosa, Davie Simwaba, Paul Msanzya Zulu, Fred Kapaya, Raymond Hamoonga, Mazyanga Lucy Mazaba, Nyambe Sinyange, Muzala Kapina, Chie Nagata, Nathan Kapata, Akira Ishiguro, Victor Mukonka
{"title":"对赞比亚卢萨卡第一波疫情期间 COVID-19 传播动态特征的观察研究。","authors":"Millica Phiri, Tadatsugu Imamura, Patrick Sakubita, Nelia Langa, Moses Mulenga, Marian Matipa Mulenga, George Kapapi, Michael Mwamba, Jane Nalwimba, Deborah Tembo, Kingsley Keembe, Karen Moompizho, Nkomba Kayeyi, William Ngosa, Davie Simwaba, Paul Msanzya Zulu, Fred Kapaya, Raymond Hamoonga, Mazyanga Lucy Mazaba, Nyambe Sinyange, Muzala Kapina, Chie Nagata, Nathan Kapata, Akira Ishiguro, Victor Mukonka","doi":"10.11604/pamj.2024.48.42.36724","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>coronavirus disease 2019 (COVID-19) transmission dynamics in the communities of low- and middle-income countries, particularly sub-Saharan African countries, are still not fully understood. This study aimed to determine the characteristics of COVID-19 secondary transmission during the first wave of the epidemic (March-October 2020) in Lusaka, Zambia.</p><p><strong>Methods: </strong>we conducted an observational study on COVID-19 secondary transmission among residents in Lusaka City, between March 18 and October 30, 2020. We compared the secondary attack rate (SAR) among different environmental settings of contacts and characteristics of primary cases (e.g, demographics, medical conditions) by logistic regression analysis.</p><p><strong>Results: </strong>out of 1862 confirmed cases of COVID-19, 272 primary cases generated 422 secondary cases through 216 secondary transmission events. More contacts and secondary transmissions were reported in planned residential areas than in unplanned residential areas. Households were the most common environmental settings of secondary transmission, representing 76.4% (165/216) of secondary transmission events. The SAR in households was higher than the overall events. None of the environmental settings or host factors of primary cases showed a statistically significant relationship with SAR.</p><p><strong>Conclusion: </strong>of the settings considered, households had the highest incidence of secondary transmission during the first wave in Lusaka, Zambia. The smaller proportion of contacts and secondary transmission in unplanned residential areas might have been due to underreporting of cases, given that those areas are reported to be vulnerable to infectious disease outbreaks. Continuous efforts are warranted to establish measures to suppress COVID-19 transmission in those high-risk environments.</p>","PeriodicalId":48190,"journal":{"name":"Pan African Medical Journal","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11399458/pdf/","citationCount":"0","resultStr":"{\"title\":\"Observational study on the characteristics of COVID-19 transmission dynamics during the first wave of the epidemic in Lusaka, Zambia.\",\"authors\":\"Millica Phiri, Tadatsugu Imamura, Patrick Sakubita, Nelia Langa, Moses Mulenga, Marian Matipa Mulenga, George Kapapi, Michael Mwamba, Jane Nalwimba, Deborah Tembo, Kingsley Keembe, Karen Moompizho, Nkomba Kayeyi, William Ngosa, Davie Simwaba, Paul Msanzya Zulu, Fred Kapaya, Raymond Hamoonga, Mazyanga Lucy Mazaba, Nyambe Sinyange, Muzala Kapina, Chie Nagata, Nathan Kapata, Akira Ishiguro, Victor Mukonka\",\"doi\":\"10.11604/pamj.2024.48.42.36724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>coronavirus disease 2019 (COVID-19) transmission dynamics in the communities of low- and middle-income countries, particularly sub-Saharan African countries, are still not fully understood. This study aimed to determine the characteristics of COVID-19 secondary transmission during the first wave of the epidemic (March-October 2020) in Lusaka, Zambia.</p><p><strong>Methods: </strong>we conducted an observational study on COVID-19 secondary transmission among residents in Lusaka City, between March 18 and October 30, 2020. We compared the secondary attack rate (SAR) among different environmental settings of contacts and characteristics of primary cases (e.g, demographics, medical conditions) by logistic regression analysis.</p><p><strong>Results: </strong>out of 1862 confirmed cases of COVID-19, 272 primary cases generated 422 secondary cases through 216 secondary transmission events. More contacts and secondary transmissions were reported in planned residential areas than in unplanned residential areas. Households were the most common environmental settings of secondary transmission, representing 76.4% (165/216) of secondary transmission events. The SAR in households was higher than the overall events. None of the environmental settings or host factors of primary cases showed a statistically significant relationship with SAR.</p><p><strong>Conclusion: </strong>of the settings considered, households had the highest incidence of secondary transmission during the first wave in Lusaka, Zambia. The smaller proportion of contacts and secondary transmission in unplanned residential areas might have been due to underreporting of cases, given that those areas are reported to be vulnerable to infectious disease outbreaks. Continuous efforts are warranted to establish measures to suppress COVID-19 transmission in those high-risk environments.</p>\",\"PeriodicalId\":48190,\"journal\":{\"name\":\"Pan African Medical Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11399458/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pan African Medical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11604/pamj.2024.48.42.36724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pan African Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11604/pamj.2024.48.42.36724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Observational study on the characteristics of COVID-19 transmission dynamics during the first wave of the epidemic in Lusaka, Zambia.
Introduction: coronavirus disease 2019 (COVID-19) transmission dynamics in the communities of low- and middle-income countries, particularly sub-Saharan African countries, are still not fully understood. This study aimed to determine the characteristics of COVID-19 secondary transmission during the first wave of the epidemic (March-October 2020) in Lusaka, Zambia.
Methods: we conducted an observational study on COVID-19 secondary transmission among residents in Lusaka City, between March 18 and October 30, 2020. We compared the secondary attack rate (SAR) among different environmental settings of contacts and characteristics of primary cases (e.g, demographics, medical conditions) by logistic regression analysis.
Results: out of 1862 confirmed cases of COVID-19, 272 primary cases generated 422 secondary cases through 216 secondary transmission events. More contacts and secondary transmissions were reported in planned residential areas than in unplanned residential areas. Households were the most common environmental settings of secondary transmission, representing 76.4% (165/216) of secondary transmission events. The SAR in households was higher than the overall events. None of the environmental settings or host factors of primary cases showed a statistically significant relationship with SAR.
Conclusion: of the settings considered, households had the highest incidence of secondary transmission during the first wave in Lusaka, Zambia. The smaller proportion of contacts and secondary transmission in unplanned residential areas might have been due to underreporting of cases, given that those areas are reported to be vulnerable to infectious disease outbreaks. Continuous efforts are warranted to establish measures to suppress COVID-19 transmission in those high-risk environments.