Evidence map›Paper›PMID 33300009›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Impact of social distancing regulations and epidemic risk perception on social contact and SARS-CoV-2 transmission potential in rural South Africa: analysis of repeated cross-sectional surveys.

Nicky McCreesh, Vuyiswa Dlamini, Anita Edwards, Stephen Olivier, Njabulo Dayi, Keabetswe Dikgale, Siyabonga Nxumalo, Jaco Dreyer, Kathy Baisley, Mark J Siedner and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Nicky McCreeshDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Vuyiswa DlaminiAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Anita EdwardsAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Stephen OlivierAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Njabulo DayiAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Keabetswe DikgaleAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Siyabonga NxumaloAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Jaco DreyerAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Kathy BaisleyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Mark J SiednerDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Richard G WhiteDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Kobus HerbstAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Alison D GrantAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Guy HarlingAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Africa Health Research Institute · ZALondon School of Hygiene & Tropical Medicine · GBHarvard University · USUniversity of the Witwatersrand · ZA

Funding

Defining drivers of TB transmission in the era of universal ART, and implications for finding the walking wellR01AI147321 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI GRANT, ALISON · 2019 to 2024
$2.3M
Medical Research Council MR/N014693/1Medical Research Council MR/P002404/1Medical Research Council MR/R010161/1NIAID NIH HHS R01 AI147321Wellcome Trust
6 · The paper itself

Abstract

Background: South Africa implemented rapid and strict physical distancing regulations to minimize SARS-CoV-2 epidemic spread. Evidence on the impact of such measures on interpersonal contact in rural and lower-income settings is limited. Methods: We compared population-representative social contact surveys conducted in the same rural KwaZulu-Natal location once in 2019 and twice in mid-2020. Respondents reported characteristics of physical and conversational ('close interaction') contacts over 24 hours. We built age-mixing matrices and estimated the proportional change in the SARS-CoV-2 reproduction number (R Results: Respondents in March-December 2019 (n=1704) reported a mean of 7.4 close interaction contacts and 196 shared air person-hours beyond their homes. Respondents in June-July 2020 (n=216), as the epidemic peaked locally, reported 4.1 close interaction contacts and 21 shared air person-hours outside their home, with significant declines in others' homes and public spaces. Adults aged over 50 had fewer close contacts with others over 50, but little change in contact with 15-29 year olds, reflecting ongoing contact within multigenerational households. We estimate potential R Discussion: Extra-household social contact fell substantially following imposition of Covid-19 distancing regulations in rural South Africa. Ongoing contact within intergenerational households highlighted the limitation of social distancing measures in protecting older adults. Funding: Wellcome Trust, UKRI, DFID, European Union.

Indexed as

contact surveyCOVID-19indoorreproduction numbersocial contacts

Identifiers

PMID33300009
PMCPMC7724677
OpenAlexW3108614700

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.