Descriptive review of epidemiological geographic mapping of coronavirus disease 2019 (COVID-19) on the internet

被引:4
|
作者
Chiluba, Brian Chanda [1 ]
Dube, Gugulethu [2 ]
机构
[1] Univ Zambia, Sch Hlth Sci, Res Unit, POB 50110, Lusaka, Zambia
[2] Univ Lusaka, Sch Med & Hlth Sci, Dept Publ Hlth, Lusaka, Zambia
来源
关键词
Coronavirus; coronavirus disease 2019; geographic; mapping; outbreak; HEALTH; SURVEILLANCE; CLASSIFICATION;
D O I
10.4103/bbrj.bbrj_50_20
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Geoinformatics significantly enables the identification and tracking of global pandemic outbreaks such as coronavirus disease 2019 (COVID-19), from spatial mapping at various sizes to location-based alerts. This article seeks to review online attempts to geographically map COVID-19, using several established techniques such as choropleth rendering, graduated circles, graduated pie charts, buffering, overlay analysis, and animation. The import of these mapping services is primarily to educate the public (especially travelers to potentially affected areas) and empower public health authorities in mapping spatial and temporal trends and patterns in COVID-19, as well as in assessing/reviewing the efficacy of current control protocols and actions.
引用
收藏
页码:83 / 89
页数:7
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