Volta

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

Unknown authors · 2024
hash_id: fa5056e14bc1b11be4df7c33b670fd1d8b6f28a6b9290b8d9f545ba5761e9152 · DOI: 10.1038/s41598-024-51610-w

The COVID-19 pandemic triggered an unprecedented level of restrictive measures globally. Most countries resorted to lockdowns at some point to buy the much-needed time for flattening the curve and scaling up vaccination and treatment capacity. Although lockdowns, social distancing and business closures generally slowed the case growth, there is a growing concern about these restrictions' social, economic and psychological impact, especially on the disadvantaged and poorer segments of society. While we are all in this together, these segments often take the heavier toll of the pandemic and face harsher restrictions or get blamed for community transmission. This study proposes a road-network-based networked approach to model mobility patterns between localities during lockdown stages. It utilises a panel regression method to analyse …

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Effect of Tourism and Air Travel Restrictions on the Initial International Spre… secondary