Spatiotemporal early warning system for COVID-19 pandemic

Wuhan, China reported the outbreak of COVID-19 in December 2019. The disease has aggressively spread around world, including Indonesia. emergence serious implications for public health and socio-economic development worldwide. No country is prepared to face COVID-19. Because rapid transmission COVID-19, early warning systems (EWS) each are not deal with it. Controlling preventing an effective efficient manner critical only health, but also economic sustainability long-term viability. Consequently, EWS required. must be capable monitoring forecasting spatiotemporal This study demonstrates how could a proactive system that would able predict distribution detect its sudden increase small areas such as cities. Early data Bandung, Indonesia from 17 March 2020 22 June was used demonstrate construction using model. We observed relative risk fluctuates geographically temporally, gradually increasing throughout estimate phase (17 2020-22 2020) slightly during prediction period (23 June–06 July 2020). discovered human mobility major aspect addressed order minimize pandemic phase.