Your browser doesn't support javascript.
Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020.
Huang, Liping; Xiao, Gaoxi; Chen, Hechang; Niu, Xuetong; Fu, Xiuju; Xu, Haiyan; Xu, George; Ma, Stefan; Ong, Janet; Ng, Lee Ching.
  • Huang L; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
  • Xiao G; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore. EGXXiao@ntu.edu.sg.
  • Chen H; School of Artificial Intelligence, Jilin University, Changchun, China.
  • Niu X; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.
  • Fu X; Institute of High Performance Computing, Singapore, Singapore.
  • Xu H; Institute of High Performance Computing, Singapore, Singapore.
  • Xu G; Institute of High Performance Computing, Singapore, Singapore.
  • Ma S; Ministry of Health, Singapore, Singapore.
  • Ong J; Environmental Health Institute, National Environment Agency, Singapore, Singapore.
  • Ng LC; Environmental Health Institute, National Environment Agency, Singapore, Singapore.
Sci Data ; 9(1): 547, 2022 09 07.
Article in English | MEDLINE | ID: covidwho-2008301
ABSTRACT
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Dengue / COVID-19 Type of study: Observational study Limits: Animals / Humans Country/Region as subject: Asia Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01666-y

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Dengue / COVID-19 Type of study: Observational study Limits: Animals / Humans Country/Region as subject: Asia Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01666-y