Literature DB >> 27353959

The short-term association between meteorological factors and mumps in Jining, China.

Runzi Li1, Hualiang Lin2, Yumin Liang3, Tao Zhang1, Cheng Luo1, Zheng Jiang1, Qinqin Xu1, Fuzhong Xue1, Yanxun Liu1, Xiujun Li4.   

Abstract

BACKGROUND: An increasing trend of the incidence of mumps has been observed in a few developing countries in recent years, presenting a major threat to children's health. A few studies have examined the relationship between meteorological factors and mumps with inconsistent findings.
METHODS: The daily data of meteorological variables and mumps from 2009 to 2013 were obtained from Jining, a temperate inland city of China. A generalized additive model was used to quantify the association between meteorological factors and mumps based on the exposure-response relationship.
RESULTS: A total of 8520 mumps cases were included in this study. We found a nonlinear relationship of daily mean temperature, sunshine duration and relative humidity with mumps, with an approximately linear association for mean temperature above 4°C (excess risk (ER) for 1°C increase was 2.72%, 95% confidence interval (CI): 2.38%, 3.05% on the current day), for relative humidity above 54%, the ER for 1% increase was -1.86% (95% CI: -2.06%, -1.65%) at lag day 14; and for sunshine duration higher than 5h/d, the ER for per 1h/d increase was12.91% (95% CI: 11.38%, 14.47%) at lag day 1. While we found linear effects for daily wind speed (ER: 2.98%, 95% CI: 2.71%, 3.26% at lag day 13).
CONCLUSIONS: This study suggests that meteorological factors might be important predictors of incidence of mumps, and should be considered in its control and prevention.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Generalized additive model; Meteorological factors; Mumps; Time series analysis

Mesh:

Year:  2016        PMID: 27353959     DOI: 10.1016/j.scitotenv.2016.06.158

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  13 in total

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10.  Nonlinear and Threshold Effect of Meteorological Factors on Japanese Encephalitis Transmission in Southwestern China.

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