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Background: "CoviSainik Program" was implemented in collaboration with the Ambuja Cement Foundation and Community Medicine Department in rural districts of eight states of India from May to December 2021 to create a cadre of volunteers. The aim of the present paper is to describe the program and evaluate it so that the findings can be the guiding tool for policymakers to replicate a similar program. Material and Method: A cross-sectional, mixed-method – concurrent study design was adopted to evaluate the program for its short-term outcomes such as gain in the basic knowledge of COVID-19 amongst master trainers and their feedback and program output viz – the proportion of volunteers trained and their profile by census sampling. Motivational factors, experiences of volunteers, and outcomes of COVID-19 work in their villages were explored by purposive with maximum diversity sampling with 62 online in-depth interviews and 8 online focus group discussions (FGDs). Results: There was a statistically significant difference in the pre-test (12.8 ± 5.6) and post-test (25.9 ± 9.3) scores of the Master Training Program evaluation test. Out of 6534 trained volunteers, 5901 worked as volunteers, and amongst those, 47.1%, 35.1%, and 17.8% worked for ≤3 months, 3 to 6 months, and ≥6 months, respectively, in their villages. The major themes generated for motivational factors to join the program were altruism, savior nature, generating awareness, and concern for others. The major outcomes generated by trained volunteers COVID-19 vaccination were in raising awareness on COVID-19 appropriate behavior and early identification of COVID-19 cases in their villages. Conclusion: The "CoviSainik Program" was successful in creating cadres of trained volunteers. [ABSTRACT FROM AUTHOR]

A resilient health system necessitates strong governance, political commitment, effective administrative entities and inter-organisational collaboration. This paper examines India's current health policy landscape and explores the analytical and operational capacities required to establish a robust post-pandemic health system using the policy capacity framework described by Wu et al. (2015). We emphasised the need for a coordinated policy response to strengthen health information systems, health service management, human resource management and healthcare financing. The role that the planned implementation of Indian public health management cadres would play in the coming era, the importance of a comprehensive health information management system and the need for operational coordination between government and non-governmental organisations has also been emphasised. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic restricted movement, closed businesses, and economic activities which disproportionately affected people globally. This pandemic has resurfaced the existing cracks in the societal set-up and has pushed the vulnerable and marginalized communities like migrant workers, people with disabilities, geriatric population, and commercial sex workers (CSWs) to an edge for their existence. Materials and Methods: Due to the paucity of peer-reviewed research publications on CSWs, formative research was conducted to identify the determinants and attributes of the challenges faced by CSWs during COVID-19 situation in India. Media scanning approach was used to collate literature from newspaper and magazine reporting, and peer-reviewed articles were referred from research-based search engines. Results: In total, 31 articles were included for content analysis and four domains of issues i.e., economic, social, psychological and health related challenged faced by them were identified which are supported with the verbatims of the community members as reported in the data sources considered for this study. It was identified that the CSWs adopted several protective measures and coping strategies to deal with the pandemic situation. Conclusion: This research highlighted that there is a need for further exploration of issues among CSWs by conducting studies among the communities. Furthermore, this paper provides a scope for future implementation research by identifying the key priorities and determinants of the challenges among the personal livelihood of CSWs in the country. [ABSTRACT FROM AUTHOR]

Background: COVID-19 has proven to be the worst pandemic in the history of mankind. While the pandemic still continues to perplex scientists globally, attempts are being made to quantify the mortality caused by the pandemic. Official COVID-19 figures in India grossly understate the true scale of the pandemic in the country. Fatality rates help us understand the severity of a disease, identify at risk populations, and evaluate quality of healthcare. Official COVID-19 mortality figures in India grossly understate the true scale of the pandemic in the country. A COVID-19 death is defined for surveillance purposes as a death resulting from a clinically compatible illness in a probable or confirmed COVID-19 case, unless there is a clear alternative cause of death that cannot be related to COVID-19 disease (e.g., trauma) and excess mortality is defined as the difference in the total number of deaths in a crisis compared to those expected under normal conditions. Materials and Methods: We did a systematic review of multiple papers on PubMed, Medline, Embase, MedRxiV pre print on excess mortality. Differentiation between model based estimated excess mortality and data based excess mortality was studied. Results: All the studies showed that the excess mortality was to the tune of almost three times the official figures. The model based excess mortality assumptions showed higher deaths as compared to the data based one. However, there were a lot of discrepancies in the data provided by various states along with variations observed between the two waves as well. Health survey data suggested higher mortality rate as compared to data compiled from the civil registration system. Additionally, in the second wave, a small but a significant number of deaths occurred due to non availability of oxygen and beds in the hospitals. Conclusions: Official COVID-19 deaths have entirely failed to capture the scale of pandemic excess mortality in India. If most excess deaths were, indeed, from COVID-19 then under ascertainment of COVID-19 deaths has been high, with around 8-10 excess deaths for every recorded COVID-19 death. [ABSTRACT FROM AUTHOR]