Predictiveness of disease risk in a global outreach tourist setting in Thailand using meteorological data and vector-borne disease incidences

• Main Authors: Suwannapa Ninphanomchai, Chitti Chansang, Yien Ling Hii, Joacim Rocklöv, Pattamaporn Kittayapong
• Other Authors: Mahidol University
• Format: Article
• Published: 2018
• Subjects: Environmental Science; Medicine
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/33908

© 2014 by the authors; licensee MDPI, Basel, Switzerland. Dengue and malaria are vector-borne diseases and major public health problems worldwide. Changes in climatic factors influence incidences of these diseases. The objective of this study was to investigate the relationship between vector-borne disease incidences and meteorological data, and hence to predict disease risk in a global outreach tourist setting. The retrospective data of dengue and malaria incidences together with local meteorological factors (temperature, rainfall, humidity) registered from 2001 to 2011 on Koh Chang, Thailand were used in this study. Seasonal distribution of disease incidences and its correlation with local climatic factors were analyzed. Seasonal patterns in disease transmission differed between dengue and malaria. Monthly meteorological data and reported disease incidences showed good predictive ability of disease transmission patterns. These findings provide a rational basis for identifying the predictive ability of local meteorological factors on disease incidence that may be useful for the implementation of disease prevention and vector control programs on the tourism island, where climatic factors fluctuate.