Evidence map›Paper›PMID 22136530›Full record

ArticleBMC infectious diseases2011

Transmissibility and temporal changes of 2009 pH1N1 pandemic during summer and fall/winter waves.

Ying-Hen Hsieh, Kuang-Fu Cheng, Trong-Neng Wu, Tsai-Chung Li, Chiu-Ying Chen, Jin-Hua Chen, Mei-Hui Lin, Center for Infectious Education and Research Team

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In one paragraph

Article in BMC infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

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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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Comparison of methods to Estimate Basic Reproduction Number (Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Ying-Hen HsiehDepartment of Public Health, China Medical University, Taichung 40402, Taiwan. hsieh@mail.cmu.edu.tw
Kuang-Fu Cheng
Trong-Neng Wu
Tsai-Chung Li
Chiu-Ying Chen
Jin-Hua Chen
Mei-Hui Lin
Center for Infectious Education and Research Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to compare the transmissibility of the 2009 pH1N1 pandemic during successive waves of infections in summer and fall/winter in the Northern Hemisphere, and to assess the temporal changes during the course of the outbreak in relation to the intervention measures implemented, we analyze the epidemiological patterns of the epidemic in Taiwan during July 2009-March 2010.

methodsWe utilize the multi-phase Richards model to fit the weekly cumulative pH1N1 epidemiological data (numbers of confirmed cases and hospitalizations) as well as the daily number of classes suspended under a unique "325" partial school closing policy in Taiwan, in order to pinpoint the turning points of the summer and fall/winter waves, and to estimate the reproduction numbers R for each wave.

resultsOur analysis indicates that the summer wave had slowed down by early September when schools reopened for fall. However, a second fall/winter wave began in late September, approximately 4 weeks after the school reopened, peaking at about 2-3 weeks after the start of the mass immunization campaign in November. R is estimated to be in the range of 1.04-1.27 for the first wave, and between 1.01-1.05 for the second wave.

conclusionsTransmissibility of the summer wave in Taiwan during July-early September, as measured by R, was lower than that of the earlier spring outbreak in North America and Europe, as well as that of the winter outbreak in Southern Hemisphere. Furthermore, transmissibility during fall/winter in Taiwan was noticeably lower than that of the summer, which is attributable to population-level immunity acquired from the earlier summer wave and also to the intervention measures that were implemented prior to and during the fall/winter wave.

Indexed as

PandemicsSeasonsBasic Reproduction NumberHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanTaiwan

Identifiers

PMID22136530
PMCPMC3247203

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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.