Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020

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作者
Liping Huang
Gaoxi Xiao
Hechang Chen
Xuetong Niu
Xiuju Fu
Haiyan Xu
George Xu
Stefan Ma
Janet Ong
Lee Ching Ng
机构
[1] Nanyang Technological University,School of Electrical and Electronic Engineering
[2] Jilin University,School of Artificial Intelligence
[3] Institute of High Performance Computing,Environmental Health Institute
[4] Ministry of Health,undefined
[5] National Environment Agency,undefined
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摘要
Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singaporean residents over the years. In 2020, Singapore experienced an unprecedented dengue outbreak. We collected a dataset of geographical dengue clusters reported by the National Environment Agency (NEA) from 15 February to 9 July in 2020, covering the nationwide lockdown associated with Covid-19 during the period from 7 April to 1 June. NEA regularly updates the dengue clusters during which an infected person may be tagged to one cluster based on the most probable infection location (residential apartment or workplace address), which is further matched to fine-grained spatial units with an average coverage of about 1.35 km2. Such dengue cluster dataset helps not only reveal the dengue transmission patterns, but also reflect the effects of lockdown on dengue spreading dynamics. The resulting data records are released in simple formats for easy access to facilitate studies on dengue epidemics.
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