Evidence map›Paper›PMID 28774264›Full record

ArticleBMC infectious diseases2017

Role of meteorological conditions in reported chickenpox cases in Wuhan and Hong Kong, China.

Banghua Chen, Ayako Sumi, Lei Wang, Wang Zhou, Nobumichi Kobayashi

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

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

  1. A review of the impact of outdoor and indoor environmental factors on human health in China.Environmental science and pollution research international · 2020
    Pooled it
  2. Article
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  7. Impact of climate on varicella distribution in Bulgaria (2009-2018).Central European journal of public health · 2024
    Article
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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

5 authors.

Banghua ChenDepartment of Infectious Diseases Control and Prevention, Wuhan Center for Disease Control and Prevention, Wuhan, Hubei, China.
Ayako SumiDepartment of Hygiene, Sapporo Medical University School of Medicine, S-1, W-17, Chuo-ku, Sapporo, Hokkaido, 060-8556, Japan. sumi@sapmed.ac.jp.ORCID 0000-0002-5347-650X
Lei WangInstitute of Infectious Disease Control and Prevention, Hubei Center for Disease Control and Prevention, Wuhan, China.
Wang ZhouWuhan Centers for Disease Control and Prevention, 24 Jianghanbei Road, Wuhan, Hubei, 430000, China. rising-up@hotmail.com.
Nobumichi KobayashiDepartment of Hygiene, Sapporo Medical University School of Medicine, S-1, W-17, Chuo-ku, Sapporo, Hokkaido, 060-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChickenpox is a common contagious disease that remains an important public health issue worldwide. Over 90% of unvaccinated individuals become infected, but infection occurs at different ages in different parts of the world. Many people have been infected by 20 to 30 years of age in China, and adults and pregnant women who become infected often develop severe infection. Furthermore, a mortality rate of 2-3 per 100,000 infected persons has been reported. In this study, we explore the temperature-dependent transition of patterns of reported chickenpox cases in two large subtropical climate cities, Wuhan and Hong Kong, China, to aid in the prediction of epidemics and preparation for the effects of climatic changes on epidemiology of chickenpox in China.

methodsWe used a time series analysis comprising a spectral analysis based on the maximum entropy method in the frequency domain and the nonlinear least squares method in the time domain. Specifically, the following time series data were analyzed: data of reported chickenpox cases and meteorological data, including the mean temperature, relative humidity and total rainfall in Wuhan and Hong Kong from January 2008 to June 2015.

resultsThe time series data of chickenpox for both Wuhan and Hong Kong have two peaks per year, one in winter and another in spring, indicating a bimodal cycle. To investigate the source of the bimodal cycle of the chickenpox data, we defined the contribution ratio of the 1-year cycle, Q

conclusionOur results showed that the mean temperature and rainfall have a significant influence on the incidence of chickenpox, and might be important predictors of chickenpox incidence in Wuhan and Hong Kong.

Indexed as

AdolescentAdultAge DistributionChickenpoxChildChild, PreschoolChinaHong KongHumansIncidenceLeast-Squares AnalysisRainSeasonsTemperatureWeatherYoung AdultChickenpoxRainfallSeasonalityTemperatureTime-series analysis

Identifiers

PMID28774264
PMCPMC5541728

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.