2016
DOI: 10.3390/ijerph13121193
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Associations between Meteorological Factors and Aseptic Meningitis in Six Metropolitan Provinces of the Republic of Korea

Abstract: We assessed the association between climate factors and a number of aseptic meningitis cases in six metropolitan provinces of the Republic of Korea using a weekly number of cases from January 2002 to December 2012. Generalized linear quasi-Poisson models were applied to estimate the effects of climate factors on the weekly number of aseptic meningitis cases. We used generalized additive and generalized additive mixed models to assess dose–response relationships. A 1 °C increase in mean temperature was associat… Show more

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Cited by 9 publications
(10 citation statements)
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“…To our knowledge, some studies have indicated that temperature fluctuation was a serious health risk factor for the infectious diseases. For examples, Joshi et al showed that, in Korea, the aseptic meningitis has a closely association with temperature fluctuation 19 . Similarly, Beck et al demonstrated that temperature fluctuation was significantly connected with malaria within the malaria transmission zone in sub-Saharan Africa 20 .…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, some studies have indicated that temperature fluctuation was a serious health risk factor for the infectious diseases. For examples, Joshi et al showed that, in Korea, the aseptic meningitis has a closely association with temperature fluctuation 19 . Similarly, Beck et al demonstrated that temperature fluctuation was significantly connected with malaria within the malaria transmission zone in sub-Saharan Africa 20 .…”
Section: Discussionmentioning
confidence: 99%
“…There was a positive association between the mean air temperature and enteroviral diseases. Previous studies from Korea, China, and Taiwan also reported a similar effect of temperature on enteroviral diseases [ 18 , 19 , 36 ]. Mean temperature had a decreased positive-lag relationship with enteroviral diseases.…”
Section: Discussionmentioning
confidence: 55%
“…In generalized linear model (GLM), multicollinearity was tested by using variance inflation factor (VIF) at an acceptable level (VIF ≤ 5) for selected explanatory variables [ 27 ]. Several studies have found the association between water quality factors and enteroviral diseases with different lags [ 7 , 8 , 18 , 19 ]. Therefore, after reviewing the survival of enteroviruses in an external environment and other possible effects of host and environment on the disease development, we designed the length of lag time in months [ 9 , 16 , 20 ], setting a maximum lag time of 4 months, lag 0 means number of disease cases and environmental factors in the given month while lag 4 indicates effect of environmental factors 4 months later on the development of enteroviral diseases.…”
Section: Methodsmentioning
confidence: 99%
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