Evidence map›Paper›PMID 34751275›Full record

ArticlemedRxiv : the preprint server for health sciences2021

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

Hamish Gibbs, Yang Liu, Sam Abbott, Isaac Baffoe-Nyarko, Dennis O Laryea, Ernest Akyereko, Patrick Kuma-Aboagye, Ivy Asante, Oriol Mitjà, LSHTM CMMID COVID-19 working group and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Hamish GibbsDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Yang LiuDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Sam AbbottDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Isaac Baffoe-NyarkoGhana Health Service, Ministry of Health, Accra, Ghana.
Dennis O LaryeaGhana Health Service, Ministry of Health, Accra, Ghana.
Ernest AkyerekoGhana Health Service, Ministry of Health, Accra, Ghana.
Patrick Kuma-AboagyeGhana Health Service, Ministry of Health, Accra, Ghana.
Ivy AsanteNoguchi Memorial Institute for Medical Research, Accra, Ghana.
Oriol MitjàFight AIDS and Infectious Diseases Foundation, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.
LSHTM CMMID COVID-19 working group
William AmpofoNoguchi Memorial Institute for Medical Research, Accra, Ghana.
Franklin Asiedu-BekoeGhana Health Service, Ministry of Health, Accra, Ghana.
Michael MarksDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Rosalind M EggoDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Funding

Does repeated influenza vaccination constrain influenza immune responses and protection?R01AI141534 · NIAID · UNIVERSITY OF MELBOURNE · PI FOX, ANNETTE, KUCHARSKI, ADAM JAMES · 2019 to 2023
$4.9M
CRCNS: Deep Neural Network Approaches for Closed-Loop Deep Brain StimulationR01NS110424 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RICHARDSON, ROBERT MARK, TURNER, ROBERT STERLING · 2018 to 2020
$673k
Medical Research Council MC_PC_19065NIAID NIH HHS R01 AI141534NINDS NIH HHS R01 NS110424Wellcome Trust
6 · The paper itself

Abstract

backgroundGovernments around the world have implemented non-pharmaceutical interventions to limit the transmission of COVID-19. 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.

methodsIn this study, we assess the relationship between indicators of human mobility, NPIs, and estimates of

findingsWe observe a relationship between reductions in human mobility and decreases in

interpretationOur 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 and monitor the impact of NPI policies.

Identifiers

PMID34751275
PMCPMC8575146

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.