Evidence map›Paper›PMID 24993483›Full record

ArticleBMC infectious diseases2014

Geographical heterogeneity and influenza infection within households.

Day-Yu Chao, Kuang-Fu Cheng, Ying-Hen Hsieh, Tsai-Chung Li, Trong-Neng Wu, Chiu-Ying Chen

Abstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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.

2 · The registry

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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

2 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.

Day-Yu ChaoGraduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung-Hsing University, Taichung, Taiwan. dychao@nchu.edu.tw.
Kuang-Fu Cheng
Ying-Hen Hsieh
Tsai-Chung Li
Trong-Neng Wu
Chiu-Ying Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough it has been suggested that schoolchildren vaccination reduces influenza morbidity and mortality in the community, it is unknown whether geographical heterogeneity would affect vaccine effectiveness.

methodsA 3-year prospective, non-randomized sero-epidemiological study was conducted during 2008-2011 by recruiting schoolchildren from both urban and rural areas. Respective totals of 124, 206, and 176 households were recruited and their household contacts were followed. Serum samples were collected pre-vaccination, one-month post-vaccination and post-season from children and household contacts for hemagglutination inhibition (HI) assay. A multivariate logistic model implemented with generalized estimation equations (GEE) was fitted with morbidity or a four-fold increase in HI titer of the household contacts for two consecutive sera as the dependent variable; with geographical location, vaccination status of each household and previous vaccination history as predictor variables.

resultsAlthough our results show no significant reduction in the proportion of infection or clinical morbidity among household contacts, a higher risk of infection, indicated by odds ratio>1, was consistently observed among household children contacts from the un-vaccinated households after adjusting for confounding variables. Interestingly, a statistically significant lower risk of infection was observed among household adult contacts from rural area when compared to those from urban area (OR=0.89; 95% CI: 0.82-0.97 for Year 2 and OR=0.85; 95% CI: 0.75-0.96 for Year 3).

conclusionsA significant difference in the risk of influenza infection among household adults due to geographical heterogeneity, independent of schoolchildren vaccination status, was revealed in this study. Its impact on vaccine effectiveness requires further study.

Indexed as

Family CharacteristicsAdolescentAdultChildFemaleHemagglutination Inhibition TestsHumansInfluenza, HumanInfluenza VaccinesMaleProspective StudiesTaiwanVaccinationYoung AdultInfluenza Vaccines

Identifiers

PMID24993483
PMCPMC4094897

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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.