Imported dengue cases, weather variation and autochthonous dengue incidence in

Background: Dengue fever (DF) outbreaks often arise from imported DF cases in Cairns, Australia. Few studies have incorporated imported DF cases in the estimation of the relationship between weather variability and incidence of autochthonous DF. The study aimed to examine the impact of weather variability on autochthonous DF infection after accounting for imported DF cases and then to explore the possibility of developing an empirical forecast system. Methodology/principal finds: Data on weather variables, notified DF cases (including those acquired locally and overseas), and population size in Cairns were supplied by the Australian Bureau of Meteorology, Queensland Health, and Australian Bureau of Statistics. A time-series negative-binomial hurdle model was used to assess the effects of imported DF cases and weather variability on autochthonous DF incidence. Our results showed that monthly autochthonous DF incidences were significantly associated with monthly imported DF cases (Relative Risk (RR):1.52; 95 % confidence interval (CI): 1.01–2.28), monthly minimum temperature (oC) (RR: 2.28; 95 % CI: 1.77–2.93), monthly relative humidity (%) (RR: 1.21; 95 % CI: 1.06–1.37), monthly rainfall (mm) (RR: 0.50; 95 % CI: 0.31–0.81) and monthly standard deviation of daily relative humidity (%) (RR: 1.27; 95 % CI: 1.08–1.50). In the zero hurdle component, the occurrence of monthly autochthonous DF cases was significantly associated with monthly minimum temperature (Odds Ratio (OR): 1.64; 95 % CI: 1.01–2.67). Conclusions/significance: Our research suggested that incidences of monthly autochthonous DF were strongly positivel