Literature DB >> 11349977

The magnitude of variation in temperature within a year has an effect on the seasonal variations of chickenpox incidence in Japan.

A Kokaze1, M Yoshida, Y Sekine, M Ishikawa, T Kurokochi, Y Uchida, N Matsunaga, Y Takashima.   

Abstract

We investigated the epidemic pattern of chickenpox incidence among 47 prefectures in Japan. There were two peaks in chickenpox incidence in all prefectures. The first peaks appear at almost the same time in a year, while the second peaks occur at different times with relatively different types of size and shape. The feature of the second peak might characterize the epidemic pattern of chickenpox. We first introduced the second peak index, that is, the ratio of the difference between the incidence at the point of the second peak and the minimum incidence between the first and second peaks to the difference between the incidence at the point of the second peak and the minimum incidence in the year. There was a close correlation between the second peak index and the magnitude of variation in temperature within a year corresponding to the difference between the maximum and the minimum of the monthly mean of the highest daily temperature. This is the first article focusing on the close relationship between the second peak of epidemic pattern of chickenpox incidence and the variation of temperature within a year.

Mesh:

Year:  2001        PMID: 11349977      PMCID: PMC2869691          DOI: 10.1017/s0950268801005246

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  6 in total

1.  Solar radiation and water vapor pressure to forecast chickenpox epidemics.

Authors:  D Hervás; J Hervás-Masip; A Nicolau; J Reina; J A Hervás
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-09-30       Impact factor: 3.267

2.  The role of temperature in reported chickenpox cases from 2000 to 2011 in Japan.

Authors:  K Harigane; A Sumi; K Mise; N Kobayashi
Journal:  Epidemiol Infect       Date:  2015-01-14       Impact factor: 4.434

3.  Hospitalizations for varicella in children and adolescents in a referral hospital in Hong Kong, 2004 to 2008: a time series study.

Authors:  Johnny Yc Chan; Linwei Tian; Yw Kwan; Wm Chan; Cw Leung
Journal:  BMC Public Health       Date:  2011-05-23       Impact factor: 3.295

4.  Meteorological factors and El Nino Southern Oscillation are associated with paediatric varicella infections in Hong Kong, 2004-2010.

Authors:  J Y C Chan; H L Lin; L W Tian
Journal:  Epidemiol Infect       Date:  2013-09-27       Impact factor: 4.434

5.  Time trends in pediatric hospitalizations for varicella infection are associated with climatic changes: a 22-year retrospective study in a tertiary Greek referral center.

Authors:  Elena Critselis; Panagiotis T Nastos; Kalliopi Theodoridou; Maria Theodoridou; Maria N Tsolia; Christos Hadjichristodoulou; Vassiliki Papaevangelou
Journal:  PLoS One       Date:  2012-12-28       Impact factor: 3.240

6.  A review on prediction of seasonal diseases based on climate change using big data.

Authors:  K Indhumathi; K Sathesh Kumar
Journal:  Mater Today Proc       Date:  2020-10-02
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.