Explicit characterization of human population connectivity reveals long run persistence of interregional dengue shocks.

Journal of the Royal Society, Interface
Lim Jue TaoAlex R Cook

Abstract

Dengue is hyper-endemic in Singapore and Malaysia, and daily movement rates between the two countries are consistently high, allowing inference on the role of local transmission and imported dengue cases. This paper describes a custom built sparse space-time autoregressive (SSTAR) model to infer and forecast contemporaneous and future dengue transmission patterns in Singapore and 16 administrative regions within Malaysia, taking into account connectivity and geographical adjacency between regions as well as climatic factors. A modification to forecast impulse responses is developed for the case of the SSTAR and is used to simulate changes in dengue transmission in neighbouring regions following a disturbance. The results indicate that there are long-term responses of the neighbouring regions to shocks in a region. By computation of variable inclusion probabilities, we found that each region's own past counts were important to describe contemporaneous case counts. In 15 out of 16 regions, other regions case counts were important to describe contemporaneous case counts even after controlling for past local dengue transmissions and exogenous factors. Leave-one-region-out analysis using SSTAR showed that dengue transmission counts ...Continue Reading

References

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Jun 20, 2019·Journal of the Royal Society, Interface·Kiesha PremAlex R Cook

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Citations

Oct 2, 2020·The Journal of Infectious Diseases·Jue Tao LimAlex R Cook
Oct 30, 2020·PLoS Neglected Tropical Diseases·Jue Tao LimAlex R Cook
Sep 15, 2021·Journal of the Royal Society, Interface·Jue Tao LimLee Ching Ng

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Software Mentioned

Google Maps API
SSTAR
STARs
STAR

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