ArticlePloS one2017
Evaluating the effects of common control measures for influenza A (H1N1) outbreak at school in China: A modeling study.
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.
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Who cites it
19 citing papers in PubMed.
- Evaluating the effects of control interventions and estimating the inapparent infections for dengue outbreak in Hangzhou, China.PloS one · 2019Trial
- A Human Mobility-Based Modeling Study of Influenza Vaccination Strategies Across Socioeconomically Disparate Regions in China.Vaccines · 2026Article
- Evaluating the effectiveness of different intervention measures for an outbreak of mycoplasma pneumoniae in hangzhou based on a dynamic model.Scientific reports · 2025Article
- Analysis of factors influencing influenza outbreaks in schools in Taicang City, China.Frontiers in public health · 2024Article
- ComputingInfectious Disease Modelling · 2022Article
- Age-specific transmission dynamic of mumps: A long-term large-scale modeling study in Jilin Province, China.Frontiers in public health · 2022Article
- Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations.Frontiers in public health · 2022Article
- The epidemiological characteristics and effectiveness of countermeasures to contain coronavirus disease 2019 in Ningbo City, Zhejiang Province, China.Scientific reports · 2021Article
- Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study.Infectious diseases of poverty · 2021Article
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- Influenza A (H1N1)pdm09 outbreak of unknown source in a Ghanaian senior high school.BMC public health · 2020Article
- Feasibility of containing shigellosis in Hubei Province, China: a modelling study.BMC infectious diseases · 2020Article
- A five-compartment model of age-specific transmissibility of SARS-CoV-2.Infectious diseases of poverty · 2020Article
- Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings-Social Distancing Measures.Emerging infectious diseases · 2020Article
- Epidemiological characteristics and transmissibility of shigellosis in Hubei Province, China, 2005 - 2017.BMC infectious diseases · 2020Article
- Simulation of key interventions for seasonal influenza outbreak control at school in Changsha, China.The Journal of international medical research · 2020Article
- Preventive Measurement against COVID-19 Spreading: Immigration Cessation, Office Closing, and Holiday Postponement-Simulation Analysis.International journal of preventive medicine · 2020Article
- Mobile population dynamics and malaria vulnerability: a modelling study in the China-Myanmar border region of Yunnan Province, China.Infectious diseases of poverty · 2018Article
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6 authors.
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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.
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