Skip to main content
×
Home
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 3
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Yang, Qiongying Yang, Zhicong Ding, Haiyuan Zhang, Xiao Dong, Zhiqiang Hu, Wensui Liu, Xiangyi Wang, Ming Hu, Guifang and Fu, Chuanxi 2014. The relationship between meteorological factors and mumps incidence in Guangzhou, China, 2005–2012:. Human Vaccines & Immunotherapeutics, Vol. 10, Issue. 8, p. 2421.


    Li, Runzi Lin, Hualiang Liang, Yumin Zhang, Tao Luo, Cheng Jiang, Zheng Xu, Qinqin Xue, Fuzhong Liu, Yanxun and Li, Xiujun 2016. The short-term association between meteorological factors and mumps in Jining, China. Science of The Total Environment, Vol. 568, p. 1069.


    Ho, Yi-Chien Su, Bo-Hua Su, Huey-Jen Chang, Hsiao-Ling Lin, Chuan-Yao Chen, Huifen and Chen, Kow-Tong 2015. The association between the incidence of mumps and meteorological parameters in Taiwan. Human Vaccines & Immunotherapeutics, Vol. 11, Issue. 6, p. 1406.


    ×

Effect of weather variability on the incidence of mumps in children: a time-series analysis

  • D. ONOZUKA (a1) and M. HASHIZUME (a2)
  • DOI: http://dx.doi.org/10.1017/S0950268810002967
  • Published online: 07 January 2011
Abstract
SUMMARY

The increasing international interest in the potential health effects of climate change has emphasized the importance of investigations into the relationship between weather variability and infectious diseases. However, few studies have examined the impact of weather variability on mumps in children, despite the fact that children are considered particularly vulnerable to climate change. We acquired data about cases of mumps in children aged <15 years and weather variability in Fukuoka, Japan from 2000 to 2008, and then used time-series analyses to assess how weather variability affected mumps cases, adjusting for seasonal variations, inter-annual variations, and temporal variations of two large epidemics in 2001 and 2004–2005. The weekly number of mumps cases increased by 7·5% (95% CI 4·0–11·1) for every 1°C increase in average temperature and by 1·4% (95% CI 0·5–2·4) for every 1% increase in relative humidity. The percentage increase was greatest in the 0–4 years age group and tended to decrease with increasing age. The number of mumps cases in children increased significantly with increased average temperature and relative humidity.

Copyright
Corresponding author
*Author for correspondence: Dr D. Onozuka, Department of Planning Information and Administration, Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu-shi, Fukuoka 818-0135, Japan. (Email: onozuka@fihes.pref.fukuoka.jp)
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1.GH Dayan , Recent resurgence of mumps in the United States. New England Journal of Medicine 2008; 358: 15801589.

4.AP Shah , Seasonality of primarily childhood and young adult infectious diseases in the United States. Chronobiology International 2006; 23: 10651082.

5.Y Hrynash , A Nadraga , M Dasho . Effectiveness of a vaccination program against mumps in Ukraine. European Journal of Clinical Microbiology & Infectious Diseases 2008; 27: 11711176.

6.N Batayneh , S Bdour . Mumps: immune status of adults and epidemiology as a necessary background for choice of vaccination strategy in Jordan. Acta Pathologica, Microbiologica et Immunologica Scandinavica 2002; 110: 528534.

8.D Onozuka , M Hashizume , A Hagihara . Impact of weather factors on Mycoplasma pneumoniae pneumonia. Thorax 2009; 64: 507511.

10.F Reid , Epidemiologic and diagnostic evaluation of a recent mumps outbreak using oral fluid samples. Journal of Clinical Virology 2008; 41: 134137.

11.A Hviid , S Rubin , K Muhlemann . Mumps. Lancet 2008; 371: 932944.

12.P McCullagh , J Nelder . Generalized Linear Models. London: Chapman and Hall, 1989.

13.AM Stolwijk , H Straatman , GA Zielhuis . Studying seasonality by using sine and cosine functions in regression analysis. Journal of Epidemiology & Community Health 1999; 53: 235238.

14.B Brumback , transitional regression models, with application to environmental time series. Journal of the American Statistical Association 2000; 95: 1627.

15.S Durrleman , R Simon . Flexible regression models with cubic splines. Statistics in Medicine 1989; 8: 551561.

16.B Armstrong . Models for the relationship between ambient temperature and daily mortality. Epidemiology 2006; 17: 624631.

17.MJ Daniels , Estimating particulate matter-mortality dose-response curves and threshold levels: an analysis of daily time-series for the 20 largest US cities. American Journal of Epidemiology 2000; 152: 397406.

18.Z Hubalek . North Atlantic weather oscillation and human infectious diseases in the Czech Republic, 1951–2003. European Journal of Epidemiology 2005; 20: 263270.

19.M Richardson , Evidence base of incubation periods, periods of infectiousness and exclusion policies for the control of communicable diseases in schools and preschools. Pediatric Infectious Disease Journal 2001; 20: 380391.

20.PM Polgreen , The duration of mumps virus shedding after the onset of symptoms. Clinical Infectious Diseases 2008; 46: 14471449.

21.FA Ennis , D Jackson . Isolation of virus during the incubation period of mumps infection. Journal of Pediatrics 1968; 72: 536537.

25.H Sato , Transfer of measles, mumps, and rubella antibodies from mother to infant. Its effect on measles, mumps, and rubella immunization. American Journal of Diseases of Children 1979; 133: 12401243.

26.P Morgan-Capner , Surveillance of antibody to measles, mumps, and rubella by age. British Medical Journal 1988; 297: 770772.

31.MJ Belanger Influence of weather conditions and season on physical activity in adolescents. Annals of Epidemiology 2009; 19: 180186.

33.T Sasaki , K Tsunoda . Time to revisit mumps vaccination in Japan? Lancet 2009; 374: 1722.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Type Description Title
UNKNOWN
Supplementary Materials

Onozuka Supplementary Material
Onozuka Supplementary Figures 03

 Unknown (83 KB)
83 KB
UNKNOWN
Supplementary Materials

Onozuka Supplementary Material
Onozuka Supplementary Figures 02

 Unknown (82 KB)
82 KB
UNKNOWN
Supplementary Materials

Onozuka Supplementary Material
Onozuka Supplementary Figures 01

 Unknown (90 KB)
90 KB
UNKNOWN
Supplementary Materials

Onozuka Supplementary Material
Onozuka Supplementary Figures Legend

 Unknown (25 KB)
25 KB