Geospatial Coronavirus Vulnerability Regression Modelling for Malawi Based on Cumulative Spatial Data from April 2020 to May 2021-Reference-Cited by-同舟云学术

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Geospatial Coronavirus Vulnerability Regression Modelling for Malawi Based on Cumulative Spatial Data from April 2020 to May 2021

Published:2023 Issue:01 Volume:15 Page:110-121
ISSN:2151-1950
Container-title:Journal of Geographic Information System
language:
Short-container-title:JGIS

Author:

Chinkaka Emmanuel,Davis Kyle F.,Chiwanda Dawnwell,Kachingwe Billy,Gusala Stanley,Mvula Richard,Chauluka Francis,Klinger Julie Michelle

Publisher

Scientific Research Publishing, Inc.

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Reference21 articles.

1. Spatial prediction and mapping of the COVID-19 hotspot in India using geostatistical technique

2. World Health Organization (2020) Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (Covid-19). 16-24.

3. The Risk and Prevention of Novel Coronavirus Pneumonia Infections Among Inpatients in Psychiatric Hospitals

4. Monitoring the spatiotemporal epidemiology of Covid-19 incidence and mortality: A small-area analysis in Germany

5. UNICEF Malawi (2021) UNICEF Malawi Covid-19 Situation Report 3 February. https://www.unicef.org/malawi/reports/unicef-malawi-covid-19-situation-report-3-february

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geospatial Variability of Cholera Cases in Malawi Based on Climatic and Socioeconomic Influences;Journal of Geographic Information System;2024

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