Evidence map›Paper›PMID 24789897›Full record

ArticleProceedings. Biological sciences2014

Social mixing patterns in rural and urban areas of southern China.

Jonathan M Read, Justin Lessler, Steven Riley, Shuying Wang, Li Jiu Tan, Kin On Kwok, Yi Guan, Chao Qiang Jiang, Derek A T Cummings

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

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

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  18. Infectious Disease Modelling · 2024
    Review
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40 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

9 authors.

Jonathan M ReadDepartment of Epidemiology and Public Health, Institute of Infection and Global Health, University of Liverpool, , Leahurst Campus, Neston CH64 7TE, UK, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, , Baltimore, MD 21205, USA, School of Public Health, Imperial College, , London, UK, Guangzhou No. 12 Hospital, , Guangzhou, Guangdong 510620, People's Republic of China, School of Public Health, The University of Hong Kong, , Hong Kong SAR, People's Republic of China, Department of Microbiology, The University of Hong Kong, , Hong Kong SAR, People's Republic of China, International Institute of Infection and Immunity, Shantou University Medical College, , Shantou, Guangdong 515031, People's Republic of China.
Justin Lessler
Steven Riley
Shuying Wang
Li Jiu Tan
Kin On Kwok
Yi Guan
Chao Qiang Jiang
Derek 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 TW 0008246-01Medical Research Council MR/J008761/1Medical Research Council MR/K010174/1NIAID NIH HHS K22 AI092150Wellcome Trust 093488/Z/10/Z
6 · The paper itself

Abstract

A dense population, global connectivity and frequent human-animal interaction give southern China an important role in the spread and emergence of infectious disease. However, patterns of person-to-person contact relevant to the spread of directly transmitted infections such as influenza remain poorly quantified in the region. We conducted a household-based survey of travel and contact patterns among urban and rural populations of Guangdong, China. We measured the character and distance from home of social encounters made by 1821 individuals. Most individuals reported 5-10 h of contact with around 10 individuals each day; however, both distributions have long tails. The distribution of distance from home at which contacts were made is similar: most were within a kilometre of the participant's home, while some occurred further than 500 km away. Compared with younger individuals, older individuals made fewer contacts which tended to be closer to home. There was strong assortativity in age-based contact rates. We found no difference between the total number or duration of contacts between urban and rural participants, but urban participants tended to make contacts closer to home. These results can improve mathematical models of infectious disease emergence, spread and control in southern China and throughout the region.

Indexed as

Interpersonal RelationsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCommunicable DiseasesHumansMiddle AgedRural PopulationTravelUrban PopulationYoung Adultcontact diaryinfectious disease transmissioninfluenzamathematical modellingsocial mixingtravel

Identifiers

PMID24789897
PMCPMC4024290

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.