| 000 -LEADER |
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| fixed length control field |
01664nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220215b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Chundeli, Faiz Ahmed et al |
| 245 ## - TITLE STATEMENT |
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| Title |
Population density and Covid spatial dynamics: A critical assessment of Indian districts |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
Indian Journal of Public Administration |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
67(3), Sep, 2021: p.425-439 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Population density, Geospatial analysis, City planning, GIS. |
| 9 (RLIN) |
29906 |
| 773 ## - HOST ITEM ENTRY |
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| Main entry heading |
Indian Journal of Public Administration |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| Subject DIP |
COVID-19 (DISEASE) – INDIA |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Articles |
