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Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data

Governments around the world have implemented non-pharmaceutical interventions to limit the transmission of COVID-19. Here we assess if increasing NPI stringency was associated with a reduction in COVID-19 cases in Ghana. While lockdowns and physical distancing have proven effective for reducing COV...

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Autores principales: Gibbs, Hamish, Liu, Yang, Abbott, Sam, Baffoe-Nyarko, Isaac, Laryea, Dennis O., Akyereko, Ernest, Kuma-Aboagye, Patrick, Asante, Ivy Asantewaa, Mitjà, Oriol, Ampofo, William, Asiedu-Bekoe, Franklin, Marks, Michael, Eggo, Rosalind M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021296/
https://www.ncbi.nlm.nih.gov/pubmed/36962513
http://dx.doi.org/10.1371/journal.pgph.0000502
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author Gibbs, Hamish
Liu, Yang
Abbott, Sam
Baffoe-Nyarko, Isaac
Laryea, Dennis O.
Akyereko, Ernest
Kuma-Aboagye, Patrick
Asante, Ivy Asantewaa
Mitjà, Oriol
Ampofo, William
Asiedu-Bekoe, Franklin
Marks, Michael
Eggo, Rosalind M.
author_facet Gibbs, Hamish
Liu, Yang
Abbott, Sam
Baffoe-Nyarko, Isaac
Laryea, Dennis O.
Akyereko, Ernest
Kuma-Aboagye, Patrick
Asante, Ivy Asantewaa
Mitjà, Oriol
Ampofo, William
Asiedu-Bekoe, Franklin
Marks, Michael
Eggo, Rosalind M.
author_sort Gibbs, Hamish
collection PubMed
description Governments around the world have implemented non-pharmaceutical interventions to limit the transmission of COVID-19. Here we assess if increasing NPI stringency was associated with a reduction in COVID-19 cases in Ghana. While lockdowns and physical distancing have proven effective for reducing COVID-19 transmission, there is still limited understanding of how NPI measures are reflected in indicators of human mobility. Further, there is a lack of understanding about how findings from high-income settings correspond to low and middle-income contexts. In this study, we assess the relationship between indicators of human mobility, NPIs, and estimates of R(t), a real-time measure of the intensity of COVID-19 transmission. We construct a multilevel generalised linear mixed model, combining local disease surveillance data from subnational districts of Ghana with the timing of NPIs and indicators of human mobility from Google and Vodafone Ghana. We observe a relationship between reductions in human mobility and decreases in R(t) during the early stages of the COVID-19 epidemic in Ghana. We find that the strength of this relationship varies through time, decreasing after the most stringent period of interventions in the early epidemic. Our findings demonstrate how the association of NPI and mobility indicators with COVID-19 transmission may vary through time. Further, we demonstrate the utility of combining local disease surveillance data with large scale human mobility data to augment existing surveillance capacity to monitor the impact of NPI policies.
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spelling pubmed-100212962023-03-17 Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data Gibbs, Hamish Liu, Yang Abbott, Sam Baffoe-Nyarko, Isaac Laryea, Dennis O. Akyereko, Ernest Kuma-Aboagye, Patrick Asante, Ivy Asantewaa Mitjà, Oriol Ampofo, William Asiedu-Bekoe, Franklin Marks, Michael Eggo, Rosalind M. PLOS Glob Public Health Research Article Governments around the world have implemented non-pharmaceutical interventions to limit the transmission of COVID-19. Here we assess if increasing NPI stringency was associated with a reduction in COVID-19 cases in Ghana. While lockdowns and physical distancing have proven effective for reducing COVID-19 transmission, there is still limited understanding of how NPI measures are reflected in indicators of human mobility. Further, there is a lack of understanding about how findings from high-income settings correspond to low and middle-income contexts. In this study, we assess the relationship between indicators of human mobility, NPIs, and estimates of R(t), a real-time measure of the intensity of COVID-19 transmission. We construct a multilevel generalised linear mixed model, combining local disease surveillance data from subnational districts of Ghana with the timing of NPIs and indicators of human mobility from Google and Vodafone Ghana. We observe a relationship between reductions in human mobility and decreases in R(t) during the early stages of the COVID-19 epidemic in Ghana. We find that the strength of this relationship varies through time, decreasing after the most stringent period of interventions in the early epidemic. Our findings demonstrate how the association of NPI and mobility indicators with COVID-19 transmission may vary through time. Further, we demonstrate the utility of combining local disease surveillance data with large scale human mobility data to augment existing surveillance capacity to monitor the impact of NPI policies. Public Library of Science 2022-09-13 /pmc/articles/PMC10021296/ /pubmed/36962513 http://dx.doi.org/10.1371/journal.pgph.0000502 Text en © 2022 Gibbs et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gibbs, Hamish
Liu, Yang
Abbott, Sam
Baffoe-Nyarko, Isaac
Laryea, Dennis O.
Akyereko, Ernest
Kuma-Aboagye, Patrick
Asante, Ivy Asantewaa
Mitjà, Oriol
Ampofo, William
Asiedu-Bekoe, Franklin
Marks, Michael
Eggo, Rosalind M.
Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
title Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
title_full Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
title_fullStr Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
title_full_unstemmed Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
title_short Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
title_sort association between mobility, non-pharmaceutical interventions, and covid-19 transmission in ghana: a modelling study using mobile phone data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021296/
https://www.ncbi.nlm.nih.gov/pubmed/36962513
http://dx.doi.org/10.1371/journal.pgph.0000502
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