01664nam a22001577a 4500 519225 519225 220215b ||||| |||| 00| 0 eng d Chundeli, Faiz Ahmed et al 32271 Population density and Covid spatial dynamics: A critical assessment of Indian districts Indian Journal of Public Administration 67(3), Sep, 2021: p.425-439 In this article, a critical assessment of urban density and Covid-19 incidences in Indian cities is explored. The top hundred Covid-19 reported districts are analysed. The ArcGIS 10.1 statistical tool Getis-Ord Gi* is used in the identification of statistically significant Covid-19 clusters across India. Attempts are made to empirically establish the correlation between the urban density, the number of reported cases, and their possible impact on health infrastructure in general and planning in specific. Based on the results from 164 out of 693 district datasets, analyses have shown high positive spatial autocorrelation, which is more than 24% of the districts analysed. Further, the results show that southern districts are more affected than the Central and northern districts of India. Although a positive association between reported cases and the urban density was found, in high-density urban areas, the relationship with infection rate varied, which should be looked at together with other variables such as people’s activities and behaviours. –Reproduced Population density, Geospatial analysis, City planning, GIS. 29906 Indian Journal of Public Administration COVID-19 (DISEASE) – INDIA AR 0 0 ddc 0 0 393276 IIPA IIPA 2022-02-15 67(3), Sep, 2021: p.425-439 AR126257 2022-02-15 AR