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Counterfactual analysis of the impact of the first two waves of the COVID-19 pandemic on the reporting and registration of missing people in India

Social Work

Counterfactual analysis of the impact of the first two waves of the COVID-19 pandemic on the reporting and registration of missing people in India

K. Paramasivan, B. Subramani, et al.

This study reveals how COVID-19 lockdowns dramatically affected missing person reports in Tamil Nadu, India. The research by Kandaswamy Paramasivan, Brinda Subramani, and Nandan Sudarsanam highlights the significant role of mobility during these times, as restrictions reduced reporting but led to a notable increase upon lifting them.

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Playback language: English
Abstract
This study uses counterfactual analysis and auto-regressive neural networks to assess the impact of COVID-19 lockdowns on missing person reports in Tamil Nadu, India. Lockdowns significantly reduced reporting, while the lifting of restrictions led to an increase, highlighting the crucial role of mobility in enabling access to reporting mechanisms.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
Nov 12, 2022
Authors
Kandaswamy Paramasivan, Brinda Subramani, Nandan Sudarsanam
Tags
COVID-19
lockdowns
missing persons
Tamil Nadu
reporting mechanisms
mobility
counterfactual analysis
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