Evidence map›Paper›PMID 38725055›Full record

ArticleJournal of health, population, and nutrition2024

Social contacts patterns relevant to the transmission of infectious diseases in Suzhou, China following the COVID-19 epidemic.

Mengru Wang, Congju Wang, Guoping Gui, Feng Guo, Risheng Zha, Hongpeng Sun

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mengru Wang *School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, 215123, P.R. China.
Congju Wang *Suzhou High-tech Zone Center for Disease Control and Prevention, Suzhou, 215011, P.R. China.
Guoping GuiSuzhou High-tech Zone Center for Disease Control and Prevention, Suzhou, 215011, P.R. China.
Feng GuoSuzhou High-tech Zone Center for Disease Control and Prevention, Suzhou, 215011, P.R. China.
Risheng ZhaSuzhou High-tech Zone Center for Disease Control and Prevention, Suzhou, 215011, P.R. China.
Hongpeng SunSchool of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, 215123, P.R. China. hpsun@suda.edu.cn.

Funding

Suzhou Science and Technology Plan Project SKY2022038
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has profoundly affected human social contact patterns, but there is limited understanding regarding the post-pandemic social contact patterns. Our objective is to quantitatively assess social contact patterns in Suzhou post-COVID-19.

methodsWe employed a diary design and conducted social contact surveys from June to October 2023, utilizing paper questionnaires. A generalized linear model was utilized to analyze the relationship between individual contacts and covariates. We examined the proportions of contact type, location, duration, and frequency. Additionally, age-related mixed matrices were established.

resultsThe participants reported an average of 11.51 (SD 5.96) contact numbers and a total of 19.78 (SD 20.94) contact numbers per day, respectively. The number of contacts was significantly associated with age, household size, and the type of week. Compared to the 0-9 age group, those in the 10-19 age group reported a higher number of contacts (IRR = 1.12, CI: 1.01-1.24), while participants aged 20 and older reported fewer (IRR range: 0.54-0.67). Larger households (5 or more) reported more contacts (IRR = 1.09, CI: 1.01-1.18) and fewer contacts were reported on weekends (IRR = 0.95, CI: 0.90-0.99). School had the highest proportion of contact durations exceeding 4 h (49.5%) and daily frequencies (90.4%), followed by home and workplace. The contact patterns exhibited clear age-assortative mixing, with Q indices of 0.27 and 0.28.

conclusionsWe assessed the characteristics of social contact patterns in Suzhou, which are essential for parameterizing models of infectious disease transmission. The high frequency and intensity of contacts among school-aged children should be given special attention, making school intervention policies a crucial component in controlling infectious disease transmission.

Indexed as

COVID-19AdolescentAdultAgedChildChild, PreschoolChinaCommunicable DiseasesContact TracingFamily CharacteristicsFemaleHumansInfantInfant, NewbornMaleMiddle AgedAge-structured contact matricesContact patternPost-COVID-19 era

Identifiers

PMID38725055
PMCPMC11080078

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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.