达沃市COVID-19大流行发病的地理空间动态

Maynard Usares, M. Barroga, Jacky Jay Cadulong, Dennis Karl Garcia, Melanie M. Garcia, Phoebe Nemenzo-Calica
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摘要

菲律宾主要城市中心达沃市地形多样,人口分布多样,受到新冠肺炎疫情影响。本研究旨在确定和定位达沃市的COVID-19病例区域,创建达沃市COVID-19病例位位图,确定COVID-19病例数与人口密度之间的关系。数据来自菲律宾统计局、达沃市地方政府部门和达沃地区卫生部。采用QGIS软件生成新冠肺炎病例地形图,统计学方法采用Pearson r相关。新冠肺炎疫情主要发生在波布拉奇翁、塔洛莫、阿格道和布行金。人口密度高的地区是COVID-19病例的高发地区。本研究的COVID-19感染人数与人口密度高度相关。这表明,密集的人口可能是导致COVID-19感染在该市传播的原因。应解决达沃市人口密度过高的问题,以防止COVID-19等传染病带来的公共卫生威胁。
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Geo-Spatial Dynamics of COVID-19 Pandemic Onset in Davao City
Davao City, a major urban center in the Philippines with its various landforms and population distribution has been affected by COVID-19. This study aimed to identify and locate areas with COVID-19 cases in Davao City, create a location map of COVID-19 cases in Davao City and determine association between number of COVID-19 cases and population density. Data were obtained from the Philippines Statistics Authority, Davao City LGU and, the Department of Health Davao Region. QGIS application was used to generate location maps of COVID-19 cases and Pearson r correlation was the statistical method used. Most of the COVID-19 occurrence are in Poblacion, Talomo, Agdao and Buhangin. areas with high population densities record the high occurrence of COVID-19 cases There is a high correlation between number of COVID-19 infection and population densities for this study. This indicates that dense population may have contributed to the spread of the COVID-19 infection in the city. The occurrence of population densities in Davao City should be addressed to prevent public health threats brought about by infectious diseases such as COVID-19.
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