Literature DB >> 26493199

Impact of temperature variation between adjacent days on childhood hand, foot and mouth disease during April and July in urban and rural Hefei, China.

Jian Cheng1, Rui Zhu2, Zhiwei Xu3, Jinju Wu4, Xu Wang1, Kesheng Li1, Liying Wen1, Huihui Yang1, Hong Su5.   

Abstract

Previous studies have found that both high temperature and low temperature increase the risk of childhood hand, foot and mouth disease (HFMD). However, little is known about whether temperature variation between neighboring days has any effects on childhood HFMD. A Poisson generalized linear regression model, combined with a distributed lag non-linear model, was applied to examine the relationship between temperature change and childhood HFMD in Hefei, China, from 1st January 2010 to 31st December 2012. Temperature change was defined as the difference of current day's mean temperature and previous day's mean temperature. Late spring and early summer (April-July) were chosen as the main study period due to it having the highest childhood HFMD incidence. There was a statistical association between temperature change between neighboring days and childhood HFMD. The effects of temperature change on childhood HFMD increased below a temperature change of 0 °C (temperature drop). The temperature change has the greatest adverse effect on childhood HFMD at 7 days lag, with 4 % (95 % confidence interval 2-7 %) increase per 3 °C drop of temperature. Male children and urban children appeared to be more vulnerable to the effects of temperature change. Temperature change between adjacent days might be an alternative temperature indictor for exploring the temperature-HFMD relationship.

Entities:  

Keywords:  Childhood; Foot and mouth disease; Hand; Hefei; Temperature change

Mesh:

Year:  2015        PMID: 26493199     DOI: 10.1007/s00484-015-1082-y

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.738


  38 in total

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  4 in total

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2.  Impact of short-term temperature variability on emergency hospital admissions for schizophrenia stratified by season of birth.

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Journal:  Int J Biometeorol       Date:  2016-08-18       Impact factor: 3.787

3.  Predicting the outbreak of hand, foot, and mouth disease in Nanjing, China: a time-series model based on weather variability.

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4.  Exploration of potential risks of Hand, Foot, and Mouth Disease in Inner Mongolia Autonomous Region, China Using Geographically Weighted Regression Model.

Authors:  Zhimin Hong; Hui Hao; Chunyang Li; Wala Du; Lidong Wei; Huhu Wang
Journal:  Sci Rep       Date:  2018-12-07       Impact factor: 4.379

  4 in total

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