School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
School of Artificial Intelligence, Jilin University, Changchun, China.
Sci Data. 2022 Sep 7;9(1):547. doi: 10.1038/s41597-022-01666-y.
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 km. 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.
登革热是一种由蚊子传播的病毒性疾病，多年来一直对新加坡居民的公共健康构成挑战。2020 年，新加坡经历了一场前所未有的登革热疫情爆发。我们收集了国家环境局（NEA）报告的 2020 年 2 月 15 日至 7 月 9 日期间的地理登革热集群数据集，涵盖了与 2020 年 4 月 7 日至 6 月 1 日期间的 COVID-19 相关的全国性封锁。NEA 会定期更新登革热集群信息，根据最有可能的感染地点（居住的公寓或工作场所地址），将受感染的人标记到一个集群中，然后进一步将其与细粒度的空间单元相匹配，平均覆盖面积约为 1.35 公里。这种登革热集群数据集不仅有助于揭示登革热的传播模式，还反映了封锁对登革热传播动态的影响。生成的数据记录以简单的格式发布，便于访问，以促进登革热疫情的研究。
