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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLOS Global Public Health |
| Online Access: | https://doi.org/10.1371/journal.pgph.0000502 |
| _version_ | 1797698185262530560 |
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| author | Hamish Gibbs Yang Liu Sam Abbott Isaac Baffoe-Nyarko Dennis O Laryea Ernest Akyereko Patrick Kuma-Aboagye Ivy Asantewaa Asante Oriol Mitjà LSHTM CMMID COVID-19 Working Group William Ampofo Franklin Asiedu-Bekoe Michael Marks Rosalind M Eggo |
| author_facet | Hamish Gibbs Yang Liu Sam Abbott Isaac Baffoe-Nyarko Dennis O Laryea Ernest Akyereko Patrick Kuma-Aboagye Ivy Asantewaa Asante Oriol Mitjà LSHTM CMMID COVID-19 Working Group William Ampofo Franklin Asiedu-Bekoe Michael Marks Rosalind M Eggo |
| author_sort | Hamish Gibbs |
| collection | DOAJ |
| 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 Rt, 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 Rt 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. |
| first_indexed | 2024-03-12T03:50:44Z |
| format | Article |
| id | doaj.art-9b06edb2484447f1bddab7abbb4cda6b |
| institution | Directory Open Access Journal |
| issn | 2767-3375 |
| language | English |
| last_indexed | 2024-03-12T03:50:44Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLOS Global Public Health |
| spelling | doaj.art-9b06edb2484447f1bddab7abbb4cda6b2023-09-03T12:25:15ZengPublic Library of Science (PLoS)PLOS Global Public Health2767-33752022-01-0129e000050210.1371/journal.pgph.0000502Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data.Hamish GibbsYang LiuSam AbbottIsaac Baffoe-NyarkoDennis O LaryeaErnest AkyerekoPatrick Kuma-AboagyeIvy Asantewaa AsanteOriol MitjàLSHTM CMMID COVID-19 Working GroupWilliam AmpofoFranklin Asiedu-BekoeMichael MarksRosalind M EggoGovernments 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 Rt, 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 Rt 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.https://doi.org/10.1371/journal.pgph.0000502 |
| spellingShingle | Hamish Gibbs Yang Liu Sam Abbott Isaac Baffoe-Nyarko Dennis O Laryea Ernest Akyereko Patrick Kuma-Aboagye Ivy Asantewaa Asante Oriol Mitjà LSHTM CMMID COVID-19 Working Group William Ampofo Franklin Asiedu-Bekoe Michael Marks Rosalind M Eggo Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data. PLOS Global Public Health |
| 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 |
| url | https://doi.org/10.1371/journal.pgph.0000502 |
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