Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021.

There has been raging discussion and debate around the quality of COVID death data in South Asia. According to WHO, of the 5.5 million reported COVID-19 deaths from 2020-2021, 0.57 million (10%) were contributed by five low and middle income countries (LMIC) countries in the Global South: India, Pak...

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Main Authors: Ritoban Kundu (Author), Jyotishka Datta (Author), Debashree Ray (Author), Swapnil Mishra (Author), Rupam Bhattacharyya (Author), Lauren Zimmermann (Author), Bhramar Mukherjee (Author)
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Published: Public Library of Science (PLoS), 2023-01-01T00:00:00Z.
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100 1 0 |a Ritoban Kundu  |e author 
700 1 0 |a Jyotishka Datta  |e author 
700 1 0 |a Debashree Ray  |e author 
700 1 0 |a Swapnil Mishra  |e author 
700 1 0 |a Rupam Bhattacharyya  |e author 
700 1 0 |a Lauren Zimmermann  |e author 
700 1 0 |a Bhramar Mukherjee  |e author 
245 0 0 |a Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021. 
260 |b Public Library of Science (PLoS),   |c 2023-01-01T00:00:00Z. 
500 |a 2767-3375 
500 |a 10.1371/journal.pgph.0002063 
520 |a There has been raging discussion and debate around the quality of COVID death data in South Asia. According to WHO, of the 5.5 million reported COVID-19 deaths from 2020-2021, 0.57 million (10%) were contributed by five low and middle income countries (LMIC) countries in the Global South: India, Pakistan, Bangladesh, Sri Lanka and Nepal. However, a number of excess death estimates show that the actual death toll from COVID-19 is significantly higher than the reported number of deaths. For example, the IHME and WHO both project around 14.9 million total deaths, of which 4.5-5.5 million were attributed to these five countries in 2020-2021. We focus our gaze on the COVID-19 performance of these five countries where 23.5% of the world population lives in 2020 and 2021, via a counterfactual lens and ask, to what extent the mortality of one LMIC would have been affected if it adopted the pandemic policies of another, similar country? We use a Bayesian semi-mechanistic model developed by Mishra et al. (2021) to compare both the reported and estimated total death tolls by permuting the time-varying reproduction number (Rt) across these countries over a similar time period. Our analysis shows that, in the first half of 2021, mortality in India in terms of reported deaths could have been reduced to 96 and 102 deaths per million compared to actual 170 reported deaths per million had it adopted the policies of Nepal and Pakistan respectively. In terms of total deaths, India could have averted 481 and 466 deaths per million had it adopted the policies of Bangladesh and Pakistan. On the other hand, India had a lower number of reported COVID-19 deaths per million (48 deaths per million) and a lower estimated total deaths per million (80 deaths per million) in the second half of 2021, and LMICs other than Pakistan would have lower reported mortality had they followed India's strategy. The gap between the reported and estimated total deaths highlights the varying level and extent of under-reporting of deaths across the subcontinent, and that model estimates are contingent on accuracy of the death data. Our analysis shows the importance of timely public health intervention and vaccines for lowering mortality and the need for better coverage infrastructure for the death registration system in LMICs. 
546 |a EN 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n PLOS Global Public Health, Vol 3, Iss 12, p e0002063 (2023) 
787 0 |n https://journals.plos.org/globalpublichealth/article/file?id=10.1371/journal.pgph.0002063&type=printable 
787 0 |n https://doaj.org/toc/2767-3375 
856 4 1 |u https://doaj.org/article/ff381fccbaec4e438a64caa69d9d039d  |z Connect to this object online.