A GPS Data-Based Index to Determine the Level of Adherence to COVID-19 Lockdown Policies in India

Puppala, Harish; Bheemaraju, Amarnath; Asthana, Rishi

doi:10.1007/s41666-020-00086-0

Cited by 2 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By assessing the amount of time people spent at specific location categories (i.e. retail & recreation, grocery & pharmacy, parks, transit stations, workplace, and residential), Google calculated the percentage change in activity at each of the location categories in comparison with the median value of baseline day from the 5-week period 3 January to 6 February 2020 ( Puppala et al, 2021 ) (see support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927" title="https://support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927">https://support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927 for detailed information). For each region (e.g.…”

Section: Studymentioning

confidence: 99%

COVID-19 concerns in cyberspace predict human reduced dispersal in the real world: Meta-regression analysis of time series relationships across American states and 115 countries/territories

Zewei

2022

Computers in Human Behavior

View full text Add to dashboard Cite

Built upon the parasite-stress theory of sociality and the behavioral immune system theory, this research examined how concern about COVID-19 in cyberspace (i.e. online search volume for corona , coronavirus , covid-19 , etc.) would predict human reduced dispersal in the real world (i.e. Google's COVID-19 Community Mobility Reports) between January 05, 2020 and May 22, 2021, accounting for COVID-19 cases per million, case fatality rate, death-thought accessibility, government stringency index, yearly trends, season, religious holiday, and serial autocorrelation. Meta-regressions analyzing the results of multiple regressions on weekly-level data showed that when people had higher levels of COVID-19 concern in cyberspace in a given week, the amount of time people spent at home increased from the previous week across U.S. states (Study 1) and 115 countries/territories (Study 2). Across studies, the association between COVID-19 concern and stay-at-home behavior was stronger in areas of higher levels of infectious-disease contagion risks. Compared with actual coronavirus threat, COVID-19 concern in cyberspace had a significantly larger effect on predicting human reduced dispersal in the real world, suggesting that online query data have an invaluable implication for predicting large-scale behavioral changes in response to life-threatening events in the real world and are indispensable for COVID-19 surveillance systems.

show abstract

Section: Studymentioning

confidence: 99%

COVID-19 concerns in cyberspace predict human reduced dispersal in the real world: Meta-regression analysis of time series relationships across American states and 115 countries/territories

Zewei

2022

Computers in Human Behavior

View full text Add to dashboard Cite

show abstract

“…18 On enforcing the national lockdown, too, reports of police brutality notwithstanding, Bihar failed miserably. Breaching activities in Bihar were the highest among all states, with a Lockdown Breaching Index (LBI) score of 75.28 in every lockdown phase between 24 March and 25 May 2020 (Puppala et al 2021). The situation was compounded by the acute shortage of PPE, the most basic medical need for health workers across the state.…”

Section: Health Preparedness Pre-covidmentioning

confidence: 99%