Evidence map›Paper›PMID 22687447›Full record

ReviewEpidemiology and infection2012

Close encounters of the infectious kind: methods to measure social mixing behaviour.

J M Read, W J Edmunds, S Riley, J Lessler, D A T Cummings

Abstract readReview
In one paragraph

Review in Epidemiology and infection, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
–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

88 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Making Space in Geographical Analysis.Geographical analysis · 2023
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28 more citing papers are in PubMed but not listed here.

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

5 authors.

J M ReadDepartment of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, UK. jonread@liverpool.ac.uk
W J Edmunds
S Riley
J Lessler
D A T Cummings

Funding

Ecology of Infectious Diseases (EID)-Immune Landscapes of Human Influenza in HousR01TW008246 · FIC · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A · 2008 to 2011
$1.9M
Estimation of Intervention Effects in Influenza OutbreaksK22AI092150 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2011 to 2012
$270k
FIC NIH HHS 1 R01 TW008246-01FIC NIH HHS R01 TW008246Medical Research Council G0600719Medical Research Council MR/K010174/1Medical Research Council RES-355-25-0019NCEZID CDC HHS 1U01CK000179-01NCEZID CDC HHS U01 CK000179NIAID NIH HHS K22 AI092150
6 · The paper itself

Abstract

A central tenet of close-contact or respiratory infection epidemiology is that infection patterns within human populations are related to underlying patterns of social interaction. Until recently, few researchers had attempted to quantify potentially infectious encounters made between people. Now, however, several studies have quantified social mixing behaviour, using a variety of methods. Here, we review the methodologies employed, suggest other appropriate methods and technologies, and outline future research challenges for this rapidly advancing field of research.

Indexed as

Social BehaviorSocial ParticipationContact TracingHumansMathematical ConceptsRadio Frequency Identification DeviceRespiratory Tract Infections

Identifiers

PMID22687447
PMCPMC4288744

What OpenQuestion holds

Textmetadata
LicenceTDM
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.