Zika virus infection is the present global medical problem. The disease appears in several
countries around the world. The relationship between rainfall and occurrence of Zika
virus infection was previously mentioned. Here, the authors use the mathematical
modeling technique to reappraise on the previous data on immunoreactivity rate of Zika
virus, dengue virus and Ckikungunya virus in Thailand and the reported interrelationship
between arboviral infections and rainfall in Thailand for constructing of the predicted
pattern of Zika virus distribution in Thailand. This data can be a useful tool for further
disease surveillance in this area.