The time series seasonal patterns of dengue fever and associated weather variables in Bangkok (2003-2017).

ABSTRACT: BACKGROUND:In Thailand, dengue fever is one of the most well-known public health problems. The objective of this study was to examine the epidemiology of dengue and determine the seasonal pattern of dengue and its associate to climate factors in Bangkok, Thailand, from 2003 to 2017. METHODS:The dengue cases in Bangkok were collected monthly during the study period. The time-series data were extracted into the trend, seasonal, and random components using the seasonal decomposition procedure based on loess. The Spearman correlation analysis and artificial neuron network (ANN) were used to determine the association between climate variables (humidity, temperature, and rainfall) and dengue cases in Bangkok. RESULTS:The seasonal-decomposition procedure showed that the seasonal component was wea

SUBMITTER: Polwiang S 

PROVIDER: S-EPMC7068876 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature