Evidence map›Paper›PMID 28542360›Full record

ArticlePloS one2017

Evaluating the effects of common control measures for influenza A (H1N1) outbreak at school in China: A modeling study.

Tianmu Chen, Yuanxiu Huang, Ruchun Liu, Zhi Xie, Shuilian Chen, Guoqing Hu

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  5. ComputingInfectious Disease Modelling · 2022
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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

6 authors.

Tianmu ChenOffice for Disease Control and Emergency Response, Changsha Center for Disease Control and Prevention, Changsha, China.
Yuanxiu HuangOffice for Disease Control and Emergency Response, Changsha Center for Disease Control and Prevention, Changsha, China.
Ruchun LiuOffice for Disease Control and Emergency Response, Changsha Center for Disease Control and Prevention, Changsha, China.
Zhi XieOffice for Disease Control and Emergency Response, Changsha Center for Disease Control and Prevention, Changsha, China.
Shuilian ChenOffice for Disease Control and Emergency Response, Changsha Center for Disease Control and Prevention, Changsha, China.
Guoqing HuDepartment of Epidemiology and Health Statistic, Xiangya School of Public Health, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza A (H1N1) outbreaks have become common at schools in China since 2009. However, the effects of common countermeasures for school influenza outbreak have not been quantified so far, including isolation, vaccination, antivirus and school closure. We conducted a mathematically modeling study to address this unsolved issue.

methodsWe collected data of all small-scale school outbreaks caused by influenza A that occurred in Changsha city between January 2009 and December 2013. Two outbreaks (one was in 2009 and the other one was in 2013) were used for simulating the effects of single and combined use of common measures, including isolation (Iso), therapeutics (T), prophylactics (P), vaccinating 70% of susceptible individuals prior to the outbreak (VP70), vaccinating 70% of susceptible individuals every day during the outbreak (VD70) and school closure of one week (S1w). A susceptible-exposed-infectious/asymptomatic-recovered (SEIR) model was developed to implement the simulations based on the natural history of influenza A.

resultsWhen no control measures are taken, the influenza is expected to spread quickly at school for the selected outbreak in 2013; the outbreak would last 56 days, and the total attack rate (TAR) would reach up to 46.32% (95% CI: 46.12-46.52). Of all single control measures, VP70 is most effective to control the epidemic (TAR = 8.68%), followed by VP50, VD70, VD50 and Iso. The use of VP70 with any other measure can reduce TAR to 3.37-14.04% and showed better effects than any other combination of two kinds of measures. The best two-measure combination is 'S1w+VP70' (TAR = 3.37%, DO = 41 days). All combinations of three kinds of measures were not satisfactory when Vp70 and VD70 were excluded. The most effective three-intervention combination was 'Iso+S1w+VP70' (with TAR = 3.23%). When VP70 or VD70 is included, the combinations of four or five kinds of interventions are very effective, reducing TAR to lower than 5%. But the TAR of combination of 'T+P+Iso+S1w' is 23.20%. Similar simulation results were observed for the selected outbreak in 2009.

conclusionVaccinating no less than 70% of individuals prior to the outbreak and isolation are recommended as single measures to control H1N1outbreak at school. The combination of VP70+S1w can achieve very good control for school outbreak.

Indexed as

Models, StatisticalAbsenteeismAntiviral AgentsChildChinaDisease OutbreaksHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanSchoolsVaccinationAntiviral Agents

Identifiers

PMID28542360
PMCPMC5438140

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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.