What is the prevalence of COVID-19 detection by PCR among deceased individuals in Lusaka, Zambia? A postmortem surveillance study
ObjectivesTo determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.DesignA systematic, postmortem prevalence study.SettingA busy, inner-city morgue in Lusaka.ParticipantsWe sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled...
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Published in | BMJ open Vol. 12; no. 12; p. e066763 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
British Medical Journal Publishing Group
06.12.2022
BMJ Publishing Group LTD BMJ Publishing Group |
Series | Original research |
Subjects | |
Online Access | Get full text |
ISSN | 2044-6055 2044-6055 |
DOI | 10.1136/bmjopen-2022-066763 |
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Abstract | ObjectivesTo determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.DesignA systematic, postmortem prevalence study.SettingA busy, inner-city morgue in Lusaka.ParticipantsWe sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled the posterior nasopharynx of decedents using quantitative PCR. Prevalence was weighted to account for age-specific enrolment strategies.InterventionsNot applicable—this was an observational study.Primary outcomesPrevalence of COVID-19 detections by PCR. Results were stratified by setting (facility vs community deaths), age, demographics and geography and time.Secondary outcomesShifts in viral variants; causal inferences based on cycle threshold values and other features; antemortem testing rates.ResultsFrom 1118 decedents enrolled between January and June 2021, COVID-19 was detected among 32.0% (358/1116). Roughly four COVID-19+ community deaths occurred for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths and overall, only ~10% of COVID-19+ deaths were identified in life. During peak transmission periods, COVID-19 was detected in ~90% of all deaths. We observed three waves of transmission that peaked in July 2020, January 2021 and ~June 2021: the AE.1 lineage and the Beta and Delta variants, respectively. PCR signals were strongest among those whose deaths were deemed ‘probably due to COVID-19’, and weakest among children, with an age-dependent increase in PCR signal intensity.ConclusionsCOVID-19 was common among deceased individuals in Lusaka. Antemortem testing was rarely done, and almost never for community deaths. Suspicion that COVID-19 was the cause of deaths was highest for those with a respiratory syndrome and lowest for individuals <19 years. |
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AbstractList | To determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.OBJECTIVESTo determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.A systematic, postmortem prevalence study.DESIGNA systematic, postmortem prevalence study.A busy, inner-city morgue in Lusaka.SETTINGA busy, inner-city morgue in Lusaka.We sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled the posterior nasopharynx of decedents using quantitative PCR. Prevalence was weighted to account for age-specific enrolment strategies.PARTICIPANTSWe sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled the posterior nasopharynx of decedents using quantitative PCR. Prevalence was weighted to account for age-specific enrolment strategies.Not applicable-this was an observational study.INTERVENTIONSNot applicable-this was an observational study.Prevalence of COVID-19 detections by PCR. Results were stratified by setting (facility vs community deaths), age, demographics and geography and time.PRIMARY OUTCOMESPrevalence of COVID-19 detections by PCR. Results were stratified by setting (facility vs community deaths), age, demographics and geography and time.Shifts in viral variants; causal inferences based on cycle threshold values and other features; antemortem testing rates.SECONDARY OUTCOMESShifts in viral variants; causal inferences based on cycle threshold values and other features; antemortem testing rates.From 1118 decedents enrolled between January and June 2021, COVID-19 was detected among 32.0% (358/1116). Roughly four COVID-19+ community deaths occurred for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths and overall, only ~10% of COVID-19+ deaths were identified in life. During peak transmission periods, COVID-19 was detected in ~90% of all deaths. We observed three waves of transmission that peaked in July 2020, January 2021 and ~June 2021: the AE.1 lineage and the Beta and Delta variants, respectively. PCR signals were strongest among those whose deaths were deemed 'probably due to COVID-19', and weakest among children, with an age-dependent increase in PCR signal intensity.RESULTSFrom 1118 decedents enrolled between January and June 2021, COVID-19 was detected among 32.0% (358/1116). Roughly four COVID-19+ community deaths occurred for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths and overall, only ~10% of COVID-19+ deaths were identified in life. During peak transmission periods, COVID-19 was detected in ~90% of all deaths. We observed three waves of transmission that peaked in July 2020, January 2021 and ~June 2021: the AE.1 lineage and the Beta and Delta variants, respectively. PCR signals were strongest among those whose deaths were deemed 'probably due to COVID-19', and weakest among children, with an age-dependent increase in PCR signal intensity.COVID-19 was common among deceased individuals in Lusaka. Antemortem testing was rarely done, and almost never for community deaths. Suspicion that COVID-19 was the cause of deaths was highest for those with a respiratory syndrome and lowest for individuals <19 years.CONCLUSIONSCOVID-19 was common among deceased individuals in Lusaka. Antemortem testing was rarely done, and almost never for community deaths. Suspicion that COVID-19 was the cause of deaths was highest for those with a respiratory syndrome and lowest for individuals <19 years. Objectives To determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.Design A systematic, postmortem prevalence study.Setting A busy, inner-city morgue in Lusaka.Participants We sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled the posterior nasopharynx of decedents using quantitative PCR. Prevalence was weighted to account for age-specific enrolment strategies.Interventions Not applicable—this was an observational study.Primary outcomes Prevalence of COVID-19 detections by PCR. Results were stratified by setting (facility vs community deaths), age, demographics and geography and time.Secondary outcomes Shifts in viral variants; causal inferences based on cycle threshold values and other features; antemortem testing rates.Results From 1118 decedents enrolled between January and June 2021, COVID-19 was detected among 32.0% (358/1116). Roughly four COVID-19+ community deaths occurred for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths and overall, only ~10% of COVID-19+ deaths were identified in life. During peak transmission periods, COVID-19 was detected in ~90% of all deaths. We observed three waves of transmission that peaked in July 2020, January 2021 and ~June 2021: the AE.1 lineage and the Beta and Delta variants, respectively. PCR signals were strongest among those whose deaths were deemed ‘probably due to COVID-19’, and weakest among children, with an age-dependent increase in PCR signal intensity.Conclusions COVID-19 was common among deceased individuals in Lusaka. Antemortem testing was rarely done, and almost never for community deaths. Suspicion that COVID-19 was the cause of deaths was highest for those with a respiratory syndrome and lowest for individuals <19 years. ObjectivesTo determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.DesignA systematic, postmortem prevalence study.SettingA busy, inner-city morgue in Lusaka.ParticipantsWe sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled the posterior nasopharynx of decedents using quantitative PCR. Prevalence was weighted to account for age-specific enrolment strategies.InterventionsNot applicable—this was an observational study.Primary outcomesPrevalence of COVID-19 detections by PCR. Results were stratified by setting (facility vs community deaths), age, demographics and geography and time.Secondary outcomesShifts in viral variants; causal inferences based on cycle threshold values and other features; antemortem testing rates.ResultsFrom 1118 decedents enrolled between January and June 2021, COVID-19 was detected among 32.0% (358/1116). Roughly four COVID-19+ community deaths occurred for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths and overall, only ~10% of COVID-19+ deaths were identified in life. During peak transmission periods, COVID-19 was detected in ~90% of all deaths. We observed three waves of transmission that peaked in July 2020, January 2021 and ~June 2021: the AE.1 lineage and the Beta and Delta variants, respectively. PCR signals were strongest among those whose deaths were deemed ‘probably due to COVID-19’, and weakest among children, with an age-dependent increase in PCR signal intensity.ConclusionsCOVID-19 was common among deceased individuals in Lusaka. Antemortem testing was rarely done, and almost never for community deaths. Suspicion that COVID-19 was the cause of deaths was highest for those with a respiratory syndrome and lowest for individuals <19 years. To determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia. A systematic, postmortem prevalence study. A busy, inner-city morgue in Lusaka. We sampled a random subset of all decedents who transited the University Teaching Hospital morgue. We sampled the posterior nasopharynx of decedents using quantitative PCR. Prevalence was weighted to account for age-specific enrolment strategies. Not applicable-this was an observational study. Prevalence of COVID-19 detections by PCR. Results were stratified by setting (facility vs community deaths), age, demographics and geography and time. Shifts in viral variants; causal inferences based on cycle threshold values and other features; antemortem testing rates. From 1118 decedents enrolled between January and June 2021, COVID-19 was detected among 32.0% (358/1116). Roughly four COVID-19+ community deaths occurred for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths and overall, only ~10% of COVID-19+ deaths were identified in life. During peak transmission periods, COVID-19 was detected in ~90% of all deaths. We observed three waves of transmission that peaked in July 2020, January 2021 and ~June 2021: the AE.1 lineage and the Beta and Delta variants, respectively. PCR signals were strongest among those whose deaths were deemed 'probably due to COVID-19', and weakest among children, with an age-dependent increase in PCR signal intensity. COVID-19 was common among deceased individuals in Lusaka. Antemortem testing was rarely done, and almost never for community deaths. Suspicion that COVID-19 was the cause of deaths was highest for those with a respiratory syndrome and lowest for individuals <19 years. |
Author | Gill, Christopher J Mwananyanda, Lawrence Nakazwe, Ruth Lungu, James Mupila, Zachariah Forman, Leah Pemba, Lillian Mubemba, Benjamin Mwinga, Gift Ngoma, Benard Katowa, Ben Lapidot, Rotem Yankonde, Baron Etter, Lauren Bridges, Daniel Simulundu, Edgar Pieciak, Rachel C Thea, Donald M Chikoti, Chilufya Chimoga, Charles Nzara, Diana MacLeod, William B Pawlak, Natalie Saasa, Ngonda Kwenda, Geoffrey Chirwa, Sarah Mwenda, Mulenga Matoba, Japhet Muleya, Walter |
AuthorAffiliation | 12 Biomedical Sciences , University of Zambia University Teaching Hospital , Lusaka , Lusaka , Zambia 10 Biomedical Sciences , University of Zambia School of Veterinary Medicine , Lusaka , Lusaka , Zambia 1 Department of Global Health , Boston University School of Public Health , Boston , Massachusetts , USA 3 Program for Applied Technology in Health (PATH) , Lusaka , Zambia 6 Macha Research Trust , Choma , Southern Province , Zambia 5 Biostatistics and Epidemiology Data Analytics Center , Boston University School of Public Health , Boston , Massachusetts , USA 4 Avencion Limited , Lusaka , Zambia 11 Program for Applied Technology in Health , Lusaka , Zambia 8 Wildlife Sciences , The Copperbelt University , Kitwe , Copperbelt , Zambia 7 Pediatric Infectious Diseases , Boston Medical Center , Brookline , Massachusetts , USA 14 University of Zambia School of Veterinary Medicine , Lusaka , Zambia 9 Avencion , Lusaka , Zambia 13 Tufts University School of Medicine , Boston , Massachusetts , USA 2 Biome |
AuthorAffiliation_xml | – name: 10 Biomedical Sciences , University of Zambia School of Veterinary Medicine , Lusaka , Lusaka , Zambia – name: 14 University of Zambia School of Veterinary Medicine , Lusaka , Zambia – name: 2 Biomedical Sciences , University of Zambia, Ridgeway Campus , Lusaka , Lusaka , Zambia – name: 7 Pediatric Infectious Diseases , Boston Medical Center , Brookline , Massachusetts , USA – name: 5 Biostatistics and Epidemiology Data Analytics Center , Boston University School of Public Health , Boston , Massachusetts , USA – name: 11 Program for Applied Technology in Health , Lusaka , Zambia – name: 4 Avencion Limited , Lusaka , Zambia – name: 12 Biomedical Sciences , University of Zambia University Teaching Hospital , Lusaka , Lusaka , Zambia – name: 3 Program for Applied Technology in Health (PATH) , Lusaka , Zambia – name: 1 Department of Global Health , Boston University School of Public Health , Boston , Massachusetts , USA – name: 9 Avencion , Lusaka , Zambia – name: 13 Tufts University School of Medicine , Boston , Massachusetts , USA – name: 6 Macha Research Trust , Choma , Southern Province , Zambia – name: 8 Wildlife Sciences , The Copperbelt University , Kitwe , Copperbelt , Zambia |
Author_xml | – sequence: 1 givenname: Christopher J orcidid: 0000-0003-3353-0617 surname: Gill fullname: Gill, Christopher J email: cgill@bu.edu organization: Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA – sequence: 2 givenname: Lawrence surname: Mwananyanda fullname: Mwananyanda, Lawrence organization: Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA – sequence: 3 givenname: William B orcidid: 0000-0001-8003-8874 surname: MacLeod fullname: MacLeod, William B organization: Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA – sequence: 4 givenname: Geoffrey surname: Kwenda fullname: Kwenda, Geoffrey organization: Biomedical Sciences, University of Zambia, Ridgeway Campus, Lusaka, Lusaka, Zambia – sequence: 5 givenname: Rachel C surname: Pieciak fullname: Pieciak, Rachel C organization: Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA – sequence: 6 givenname: Lauren surname: Etter fullname: Etter, Lauren organization: Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA – sequence: 7 givenname: Daniel surname: Bridges fullname: Bridges, Daniel organization: Program for Applied Technology in Health (PATH), Lusaka, Zambia – sequence: 8 givenname: Chilufya surname: Chikoti fullname: Chikoti, Chilufya organization: Avencion Limited, Lusaka, Zambia – sequence: 9 givenname: Sarah surname: Chirwa fullname: Chirwa, Sarah organization: Avencion Limited, Lusaka, Zambia – sequence: 10 givenname: Charles surname: Chimoga fullname: Chimoga, Charles organization: Avencion Limited, Lusaka, Zambia – sequence: 11 givenname: Leah surname: Forman fullname: Forman, Leah organization: Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, Massachusetts, USA – sequence: 12 givenname: Ben surname: Katowa fullname: Katowa, Ben organization: Macha Research Trust, Choma, Southern Province, Zambia – sequence: 13 givenname: Rotem surname: Lapidot fullname: Lapidot, Rotem organization: Pediatric Infectious Diseases, Boston Medical Center, Brookline, Massachusetts, USA – sequence: 14 givenname: James surname: Lungu fullname: Lungu, James organization: Avencion Limited, Lusaka, Zambia – sequence: 15 givenname: Japhet surname: Matoba fullname: Matoba, Japhet organization: Macha Research Trust, Choma, Southern Province, Zambia – sequence: 16 givenname: Gift surname: Mwinga fullname: Mwinga, Gift organization: Avencion Limited, Lusaka, Zambia – sequence: 17 givenname: Benjamin orcidid: 0000-0002-5266-3602 surname: Mubemba fullname: Mubemba, Benjamin organization: Wildlife Sciences, The Copperbelt University, Kitwe, Copperbelt, Zambia – sequence: 18 givenname: Zachariah surname: Mupila fullname: Mupila, Zachariah organization: Avencion, Lusaka, Zambia – sequence: 19 givenname: Walter surname: Muleya fullname: Muleya, Walter organization: Biomedical Sciences, University of Zambia School of Veterinary Medicine, Lusaka, Lusaka, Zambia – sequence: 20 givenname: Mulenga surname: Mwenda fullname: Mwenda, Mulenga organization: Program for Applied Technology in Health, Lusaka, Zambia – sequence: 21 givenname: Benard surname: Ngoma fullname: Ngoma, Benard organization: Avencion Limited, Lusaka, Zambia – sequence: 22 givenname: Ruth surname: Nakazwe fullname: Nakazwe, Ruth organization: Biomedical Sciences, University of Zambia University Teaching Hospital, Lusaka, Lusaka, Zambia – sequence: 23 givenname: Diana surname: Nzara fullname: Nzara, Diana organization: Avencion Limited, Lusaka, Zambia – sequence: 24 givenname: Natalie surname: Pawlak fullname: Pawlak, Natalie organization: Tufts University School of Medicine, Boston, Massachusetts, USA – sequence: 25 givenname: Lillian surname: Pemba fullname: Pemba, Lillian organization: Avencion Limited, Lusaka, Zambia – sequence: 26 givenname: Ngonda surname: Saasa fullname: Saasa, Ngonda organization: University of Zambia School of Veterinary Medicine, Lusaka, Zambia – sequence: 27 givenname: Edgar orcidid: 0000-0001-9423-0816 surname: Simulundu fullname: Simulundu, Edgar organization: Macha Research Trust, Choma, Southern Province, Zambia – sequence: 28 givenname: Baron surname: Yankonde fullname: Yankonde, Baron organization: Avencion Limited, Lusaka, Zambia – sequence: 29 givenname: Donald M surname: Thea fullname: Thea, Donald M organization: Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36600354$$D View this record in MEDLINE/PubMed |
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Copyright | Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. 2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. 2022 |
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Keywords | COVID-19 PUBLIC HEALTH Epidemiology |
Language | English |
License | This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. |
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Snippet | ObjectivesTo determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.DesignA systematic, postmortem prevalence study.SettingA busy,... To determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia. A systematic, postmortem prevalence study. A busy, inner-city morgue in Lusaka.... To determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.OBJECTIVESTo determine the prevalence of COVID-19 postmortem setting in Lusaka,... Objectives To determine the prevalence of COVID-19 postmortem setting in Lusaka, Zambia.Design A systematic, postmortem prevalence study.Setting A busy,... |
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SubjectTerms | Age Autopsies Causality Child Coronaviruses COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 diagnostic tests COVID-19 Testing Epidemiology Global Health Health surveillance Humans Pandemics Pediatrics Polymerase Chain Reaction Prevalence PUBLIC HEALTH Respiratory syncytial virus SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Teaching hospitals Whooping cough Zambia - epidemiology |
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Title | What is the prevalence of COVID-19 detection by PCR among deceased individuals in Lusaka, Zambia? A postmortem surveillance study |
URI | https://bmjopen.bmj.com/content/12/12/e066763.full https://www.ncbi.nlm.nih.gov/pubmed/36600354 https://www.proquest.com/docview/2747881979 https://www.proquest.com/docview/2761179754 https://pubmed.ncbi.nlm.nih.gov/PMC9729848 https://doaj.org/article/7ef49b34ff0f4b2d8060279cfc60fbb2 |
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