Geospatial Analytics for COVID-9 Active Case Detection | Zendy

ChooYee Ting | Zendy; Helmi Zakariah | Zendy; Fadzilah Kamaludin | Zendy; Darryl Lin Wei Cheng | Zendy; Nicholas Yu-Zhe Tan | Zendy; Hui-Jia Yee | Zendy

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Geospatial Analytics for COVID-9 Active Case Detection

Author(s) -

ChooYee Ting,

Helmi Zakariah,

Fadzilah Kamaludin,

Darryl Lin Wei Cheng,

Nicholas Yu-Zhe Tan,

Hui-Jia Yee

Publication year - 2021

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 40

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2021.013327

Subject(s) - geospatial analysis , outbreak , metric (unit) , geography , population , covid-19 , data science , computer science , pandemic , analytics , similarity (geometry) , duration (music) , data mining , operations research , cartography , artificial intelligence , engineering , medicine , operations management , environmental health , disease , virology , pathology , literature , infectious disease (medical specialty) , image (mathematics) , art

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