Evidence map›Paper›PMID 36048756›Full record

ArticleEmerging infectious diseases2022

Improving Estimates of Social Contact Patterns for Airborne Transmission of Respiratory Pathogens.

Nicky McCreesh, Mbali Mohlamonyane, Anita Edwards, Stephen Olivier, Keabetswe Dikgale, Njabulo Dayi, Dickman Gareta, Robin Wood, Alison D Grant, Richard G White and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Infectious Disease Modelling · 2024
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Nicky McCreesh
Mbali Mohlamonyane
Anita Edwards
Stephen Olivier
Keabetswe Dikgale
Njabulo Dayi
Dickman Gareta
Robin Wood
Alison D Grant
Richard G White
Keren Middelkoop
London School of Hygiene & Tropical Medicine · GBUniversity of the Witwatersrand · ZAAfrica Health Research Institute · ZAUniversity of KwaZulu-Natal · ZAUniversity of Cape Town · 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
Bill & Melinda Gates Foundation INV-001754Medical Research Council CCF17-7779Medical Research Council MR/P002404/1NIAID NIH HHS R01 AI147321Wellcome TrustWellcome Trust 218261/Z/19/Z
6 · The paper itself

Abstract

Data on social contact patterns are widely used to parameterize age-mixing matrices in mathematical models of infectious diseases. Most studies focus on close contacts only (i.e., persons spoken with face-to-face). This focus may be appropriate for studies of droplet and short-range aerosol transmission but neglects casual or shared air contacts, who may be at risk from airborne transmission. Using data from 2 provinces in South Africa, we estimated age mixing patterns relevant for droplet transmission, nonsaturating airborne transmission, and Mycobacterium tuberculosis transmission, an airborne infection where saturation of household contacts occurs. Estimated contact patterns by age did not vary greatly between the infection types, indicating that widespread use of close contact data may not be resulting in major inaccuracies. However, contact in persons >50 years of age was lower when we considered casual contacts, and therefore the contribution of older age groups to airborne transmission may be overestimated.

Indexed as

Mycobacterium tuberculosisRespiratory Aerosols and DropletsAerosolsModels, TheoreticalSouth AfricaAerosolsage-mixingairbornemathematical modellingrespiratory infectionssocial contactSouth Africatuberculosistuberculosis and other mycobacteria

Identifiers

PMID36048756
PMCPMC9514345
OpenAlexW4294124807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.