The impact of COVID-19 control measures on social contacts and transmission in Kenyan informal settlements.


Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
05 10 2020
Historique:
received: 09 06 2020
accepted: 09 09 2020
entrez: 5 10 2020
pubmed: 6 10 2020
medline: 21 10 2020
Statut: epublish

Résumé

Many low- and middle-income countries have implemented control measures against coronavirus disease 2019 (COVID-19). However, it is not clear to what extent these measures explain the low numbers of recorded COVID-19 cases and deaths in Africa. One of the main aims of control measures is to reduce respiratory pathogen transmission through direct contact with others. In this study, we collect contact data from residents of informal settlements around Nairobi, Kenya, to assess if control measures have changed contact patterns, and estimate the impact of changes on the basic reproduction number (R We conducted a social contact survey with 213 residents of five informal settlements around Nairobi in early May 2020, 4 weeks after the Kenyan government introduced enhanced physical distancing measures and a curfew between 7 pm and 5 am. Respondents were asked to report all direct physical and non-physical contacts made the previous day, alongside a questionnaire asking about the social and economic impact of COVID-19 and control measures. We examined contact patterns by demographic factors, including socioeconomic status. We described the impact of COVID-19 and control measures on income and food security. We compared contact patterns during control measures to patterns from non-pandemic periods to estimate the change in R We estimate that control measures reduced physical contacts by 62% and non-physical contacts by either 63% or 67%, depending on the pre-COVID-19 comparison matrix used. Masks were worn by at least one person in 92% of contacts. Respondents in the poorest socioeconomic quintile reported 1.5 times more contacts than those in the richest. Eighty-six percent of respondents reported a total or partial loss of income due to COVID-19, and 74% reported eating less or skipping meals due to having too little money for food. COVID-19 control measures have had a large impact on direct contacts and therefore transmission, but have also caused considerable economic and food insecurity. Reductions in R

Sections du résumé

BACKGROUND
Many low- and middle-income countries have implemented control measures against coronavirus disease 2019 (COVID-19). However, it is not clear to what extent these measures explain the low numbers of recorded COVID-19 cases and deaths in Africa. One of the main aims of control measures is to reduce respiratory pathogen transmission through direct contact with others. In this study, we collect contact data from residents of informal settlements around Nairobi, Kenya, to assess if control measures have changed contact patterns, and estimate the impact of changes on the basic reproduction number (R
METHODS
We conducted a social contact survey with 213 residents of five informal settlements around Nairobi in early May 2020, 4 weeks after the Kenyan government introduced enhanced physical distancing measures and a curfew between 7 pm and 5 am. Respondents were asked to report all direct physical and non-physical contacts made the previous day, alongside a questionnaire asking about the social and economic impact of COVID-19 and control measures. We examined contact patterns by demographic factors, including socioeconomic status. We described the impact of COVID-19 and control measures on income and food security. We compared contact patterns during control measures to patterns from non-pandemic periods to estimate the change in R
RESULTS
We estimate that control measures reduced physical contacts by 62% and non-physical contacts by either 63% or 67%, depending on the pre-COVID-19 comparison matrix used. Masks were worn by at least one person in 92% of contacts. Respondents in the poorest socioeconomic quintile reported 1.5 times more contacts than those in the richest. Eighty-six percent of respondents reported a total or partial loss of income due to COVID-19, and 74% reported eating less or skipping meals due to having too little money for food.
CONCLUSION
COVID-19 control measures have had a large impact on direct contacts and therefore transmission, but have also caused considerable economic and food insecurity. Reductions in R

Identifiants

pubmed: 33012285
doi: 10.1186/s12916-020-01779-4
pii: 10.1186/s12916-020-01779-4
pmc: PMC7533154
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

316

Subventions

Organisme : Wellcome Trust
ID : 206471/Z/17/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N014693/1
Pays : United Kingdom
Organisme : Bill and Melinda Gates Foundation
ID : INV-003174
Pays : International
Organisme : European Research Council
ID : 757699
Pays : International
Organisme : Wellcome Trust
ID : 208812/Z/17/Z
Pays : United Kingdom
Organisme : Horizon 2020
ID : 101003688
Pays : International
Organisme : Medical Research Council
ID : MC_PC_19065
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 210758/Z/18/Z
Pays : United Kingdom
Organisme : Bill and Melinda Gates Foundation
ID : INV-001754
Pays : International
Organisme : UKRI GCRF
ID : ES/P010873/1
Pays : International
Organisme : DFID
ID : 221303/Z/20/Z
Pays : International
Organisme : Medical Research Council
ID : MR/P002404/1
Pays : United Kingdom

Investigateurs

Nikos I Bosse (NI)
Graham Medley (G)
Kathleen O'Reilly (K)
Quentin J Leclerc (QJ)
Mark Jit (M)
Rachel Lowe (R)
Nicholas G Davies (NG)
Arminder K Deol (AK)
Gwenan M Knight (GM)
Megan Auzenbergs (M)
W John Edmunds (WJ)
Katherine E Atkins (KE)
Thibaut Jombart (T)
Rosalind M Eggo (RM)
Anna M Foss (AM)
Stefan Flasche (S)
Carl A B Pearson (CAB)
Emily S Nightingale (ES)
James D Munday (JD)
Sam Abbott (S)
Billy J Quilty (BJ)
Hamish P Gibbs (HP)
David Simons (D)
Jon C Emery (JC)
Stéphane Hué (S)
Yang Liu (Y)
Damien C Tully (DC)
Alicia Rosello (A)
Simon R Procter (SR)
Akira Endo (A)
Timothy W Russell (TW)
Eleanor M Rees (EM)
Charlie Diamond (C)
Sophie R Meakin (SR)
Adam J Kucharski (AJ)
Georgia R Gore-Langton (GR)
Petra Klepac (P)
Joel Hellewell (J)
Fiona Yueqian Sun (FY)
Rein M G J Houben (RMGJ)
C Julian Villabona-Arenas (CJ)
Sebastian Funk (S)
Samuel Clifford (S)
Oliver Brady (O)

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Auteurs

Matthew Quaife (M)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. matthew.quaife@lshtm.ac.uk.
Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK. matthew.quaife@lshtm.ac.uk.

Kevin van Zandvoort (K)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Amy Gimma (A)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Kashvi Shah (K)

Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.

Nicky McCreesh (N)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Kiesha Prem (K)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Edwine Barasa (E)

Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.

Daniel Mwanga (D)

Population Council, Nairobi, Kenya.

Beth Kangwana (B)

Population Council, Nairobi, Kenya.

Jessie Pinchoff (J)

Population Council, New York, USA.

W John Edmunds (WJ)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Christopher I Jarvis (CI)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Karen Austrian (K)

Population Council, Nairobi, Kenya.

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