Abstract
This study investigates the important role of attendant factors, such as road traffic victims’ access to trauma centres, the robustness of health infrastructure, and the responsiveness of police and emergency services in the incidence of Road Traffic Injuries (RTI) during the pandemic-induced COVID-19 lockdowns. The differential effects of the first and second waves of the pandemic concerning perceived health risk and legal restrictions provide us with a natural experiment that helps us differentiate between the impact of attendant factors and the standard relationship between mobility and Road Traffic Injuries. The authors use the auto-regressive recurrent neural network method on two population levels–Tamil Nadu (TN), a predominantly rural state, and Chennai, the most significant metropolitan city of the state, to draw causal inference through counterfactual predictions on daily counts of road traffic deaths and Road Traffic Injuries. During the first wave of the pandemic, which was less severe than the second wave, the traffic flow was correlated to Road Traffic Death/Road Traffic Injury. In the second wave’s partial and post lockdown phases, an unprecedented fall of over 70% in Road Traffic Injury—Grievous as against Road Traffic Injury—Minor was recorded. Attendant factors, such as the ability of the victim to approach relief centres, the capability of health and other allied infrastructures, transportation and medical treatment of road traffic crash victims, and minimal access to other emergency services, including police, assumed greater significance than overall traffic flow in the incidence of Road Traffic Injury in the more severe second wave. These findings highlight the significant role these attendant factors play in producing the discrepancy between the actual road traffic incident rate and the officially registered rate. Thus, our study enables practitioners to observe the mobility-adjusted actual incidence rate devoid of factors related to reporting and registration of accidents.
Funder
Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), Indian Institute of Technology Madras
Publisher
Public Library of Science (PLoS)
Reference31 articles.
1. The Impact of First and Second Wave of the COVID-19 Pandemic: Comparative Analysis to Design Control Measures to Cope with Negative Effects of Future Infectious Diseases in Society;M. Coccia;Environmental Research,2021
2. First, second and third wave of COVID-19. What have we changed in the ICU management of these patients?;M Taboada;Journal of Infection,2021
3. Effects of the COVID-19 pandemic on the US stock market and uncertainty: A comparative assessment between the first and second waves;M Yousfi;Technological Forecasting and Social Change,2021
4. Investigating the impact of COVID-19 on primary care antibiotic prescribing in North West London across two epidemic waves;N Zhu;Clinical Microbiology and Infection,2021
5. The unseen positive effects of lockdown due to Covid-19 pandemic: Air pollution, water pollution, sanitation and hygiene, behavioral change, global warming, road traffic accidents;D Ghungrud;Indian Journal of Forensic Medicine & Toxicology,2021
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献