Jay Saha1, Pradip Chouhan2. 1. Department of Geography, University of Gour Banga (UGB), Malda 732103, West Bengal, India. Electronic address: jsaha519@gmail.com. 2. Department of Geography, University of Gour Banga (UGB), Malda 732103, West Bengal, India. Electronic address: pradipchouhanmalda@gmail.com.
Abstract
BACKGROUND: As an outcome of the Coronavirus 2019 (COVID-19) pandemic, the countrywide lockdown and unlock periods altered residential mobility trends in India. The aim of this study was to investigate the impact of the COVID-19 lockdown and unlock periods on residential mobility trends, using the spatial time-series daily changes across the different states and union territories of India. DATA AND METHODS: This study was based on time-series data of the daily percentage change in residential mobility from baseline in India. Conditional formatting techniques, box plotting, time-series trends plotting methods, and spatial kriging interpolation mapping techniques were employed to show residential mobility trends. RESULTS: Increases in residential mobility of approximately 31.5%, 30.8%, 26.2%, 23%, 17.6%, and 18.2% from the pre-lockdown period were observed during lockdown phase 1, phase 2, phase 3, and phase 4, unlock 1.0, and unlock 2.0, respectively, in India. This was due to people moving towards home or their place of residence during the COVID-19 pandemic in India. From the time lockdown was initiated up until July 31, 2020, residential mobility increased the least in the north-eastern states of India and also the eastern and extreme northern states of India. CONCLUSIONS: The results of this study could be used in public health strategies towards decreasing the spread of COVID-19.
BACKGROUND: As an outcome of the Coronavirus 2019 (COVID-19) pandemic, the countrywide lockdown and unlock periods altered residential mobility trends in India. The aim of this study was to investigate the impact of the COVID-19 lockdown and unlock periods on residential mobility trends, using the spatial time-series daily changes across the different states and union territories of India. DATA AND METHODS: This study was based on time-series data of the daily percentage change in residential mobility from baseline in India. Conditional formatting techniques, box plotting, time-series trends plotting methods, and spatial kriging interpolation mapping techniques were employed to show residential mobility trends. RESULTS: Increases in residential mobility of approximately 31.5%, 30.8%, 26.2%, 23%, 17.6%, and 18.2% from the pre-lockdown period were observed during lockdown phase 1, phase 2, phase 3, and phase 4, unlock 1.0, and unlock 2.0, respectively, in India. This was due to people moving towards home or their place of residence during the COVID-19 pandemic in India. From the time lockdown was initiated up until July 31, 2020, residential mobility increased the least in the north-eastern states of India and also the eastern and extreme northern states of India. CONCLUSIONS: The results of this study could be used in public health strategies towards decreasing the spread of COVID-19.
Authors: Sabba Mussadiq; Rajesh K Verma; Dharmendra P Singh; Prashant K Bajpai; Naila Begum; Sandeep Kumar Journal: J Family Med Prim Care Date: 2022-02-16
Authors: Sumit Aggarwal; Nupur Mahajan; Simran Kohli; Sivaraman Balaji; Tanvi Singh; Geetha R Menon; Kiran Rade; Samiran Panda Journal: Int J Environ Res Public Health Date: 2022-08-16 Impact factor: 4.614