Early estimates of COVID-19 infections in small, medium and large population clusters

Introduction Since its emergence in late December 2019, COVID-19 has rapidly developed into a pandemic in mid of March with many countries suffering heavy human loss and declaring emergency conditions to contain its spread. The impact of the disease, while it has been relatively low in the sub-Sahar...

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Main Authors: Dawd Siraj, Alemayehu Worku, Yemane Berhane, Amir Siraj, Kiros Berhane, Maru Aregawi, Munir Eshetu, Alemnesh Mirkuzie
Format: Article
Language:English
Published: BMJ Publishing Group 2020-09-01
Series:BMJ Global Health
Online Access:https://gh.bmj.com/content/5/9/e003055.full
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spelling doaj-af157d5fb80c433097e440940662bbf02021-01-21T23:30:10ZengBMJ Publishing GroupBMJ Global Health2059-79082020-09-015910.1136/bmjgh-2020-003055Early estimates of COVID-19 infections in small, medium and large population clustersDawd Siraj0Alemayehu Worku1Yemane Berhane2Amir Siraj3Kiros Berhane4Maru Aregawi5Munir Eshetu6Alemnesh Mirkuzie7Division of Infectious Diseases, University of Wisconsin-Madison, Madison, Wisconsin, USADepartment of Preventive Medicine, Addis Ababa University College of Health Sciences, Addis Ababa, EthiopiaAddis Continental Institute of Public Health, Addis Ababa, EthiopiaBiological Sciences, University of Notre Dame, Notre Dame, Indiana, USABiostatistics, Columbia University, New York, New York, USAGlobal Malaria Program, World Health Organization, Geneve, SwitzerlandCOVID-19 and Essential Health Care, Ethiopia Ministry of Health, Addis Ababa, EthiopiaNational Data Managment Center for Health, Ethiopian Public Health Institute, Addis Ababa, EthiopiaIntroduction Since its emergence in late December 2019, COVID-19 has rapidly developed into a pandemic in mid of March with many countries suffering heavy human loss and declaring emergency conditions to contain its spread. The impact of the disease, while it has been relatively low in the sub-Saharan Africa (SSA) as of May 2020, is feared to be potentially devastating given the less developed and fragmented healthcare system in the continent. In addition, most emergency measures practised may not be effective due to their limited affordability as well as the communal way people in SSA live in relative isolation in clusters of large as well as smaller population centres.Methods To address the acute need for estimates of the potential impacts of the disease once it sweeps through the African region, we developed a process-based model with key parameters obtained from recent studies, taking local context into consideration. We further used the model to estimate the number of infections within a year of sustained local transmissions under scenarios that cover different population sizes, urban status, effectiveness and coverage of social distancing, contact tracing and usage of cloth face mask.Results We showed that when implemented early, 50% coverage of contact tracing and face mask, with 33% effective social distancing policies can bringing the epidemic to a manageable level for all population sizes and settings we assessed. Relaxing of social distancing in urban settings from 33% to 25% could be matched by introduction and maintenance of face mask use at 43%.Conclusions In SSA countries with limited healthcare workforce, hospital resources and intensive care units, a robust system of social distancing, contact tracing and face mask use could yield in outcomes that prevent several millions of infections and thousands of deaths across the continent.https://gh.bmj.com/content/5/9/e003055.full
collection DOAJ
language English
format Article
sources DOAJ
author Dawd Siraj
Alemayehu Worku
Yemane Berhane
Amir Siraj
Kiros Berhane
Maru Aregawi
Munir Eshetu
Alemnesh Mirkuzie
spellingShingle Dawd Siraj
Alemayehu Worku
Yemane Berhane
Amir Siraj
Kiros Berhane
Maru Aregawi
Munir Eshetu
Alemnesh Mirkuzie
Early estimates of COVID-19 infections in small, medium and large population clusters
BMJ Global Health
author_facet Dawd Siraj
Alemayehu Worku
Yemane Berhane
Amir Siraj
Kiros Berhane
Maru Aregawi
Munir Eshetu
Alemnesh Mirkuzie
author_sort Dawd Siraj
title Early estimates of COVID-19 infections in small, medium and large population clusters
title_short Early estimates of COVID-19 infections in small, medium and large population clusters
title_full Early estimates of COVID-19 infections in small, medium and large population clusters
title_fullStr Early estimates of COVID-19 infections in small, medium and large population clusters
title_full_unstemmed Early estimates of COVID-19 infections in small, medium and large population clusters
title_sort early estimates of covid-19 infections in small, medium and large population clusters
publisher BMJ Publishing Group
series BMJ Global Health
issn 2059-7908
publishDate 2020-09-01
description Introduction Since its emergence in late December 2019, COVID-19 has rapidly developed into a pandemic in mid of March with many countries suffering heavy human loss and declaring emergency conditions to contain its spread. The impact of the disease, while it has been relatively low in the sub-Saharan Africa (SSA) as of May 2020, is feared to be potentially devastating given the less developed and fragmented healthcare system in the continent. In addition, most emergency measures practised may not be effective due to their limited affordability as well as the communal way people in SSA live in relative isolation in clusters of large as well as smaller population centres.Methods To address the acute need for estimates of the potential impacts of the disease once it sweeps through the African region, we developed a process-based model with key parameters obtained from recent studies, taking local context into consideration. We further used the model to estimate the number of infections within a year of sustained local transmissions under scenarios that cover different population sizes, urban status, effectiveness and coverage of social distancing, contact tracing and usage of cloth face mask.Results We showed that when implemented early, 50% coverage of contact tracing and face mask, with 33% effective social distancing policies can bringing the epidemic to a manageable level for all population sizes and settings we assessed. Relaxing of social distancing in urban settings from 33% to 25% could be matched by introduction and maintenance of face mask use at 43%.Conclusions In SSA countries with limited healthcare workforce, hospital resources and intensive care units, a robust system of social distancing, contact tracing and face mask use could yield in outcomes that prevent several millions of infections and thousands of deaths across the continent.
url https://gh.bmj.com/content/5/9/e003055.full
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