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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]

CoWIN (Covid Vaccine Intelligence Network) is a web-based platform owned and operated by the Government of India for facilitating COVID-19 vaccination of the citizens. This project is considered a tremendous success, apparent from the sheer number of hassle-free and successful COVID-19 vaccinations. We believe that the CoWIN system is an ideal platform for capturing all the vaccine-related data in the Universal Immunization program (UIP) as well as providing an all-inclusive vaccine certificate in digital format. Advantages and challenges of upscaling the CoWIN system to include UIP and a vision statement of how this can be achieved are discussed in this article. We also enlist the state-level solutions currently in use for digital immunization records, which can serve as case studies for upscaling the CoWIN system. [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 become a global pandemic, prompting lockdowns in practically every country. To prevent the spread of the disease, India has enforced a rigorous nationwide lockdown that commenced in March 2020. The lockdown imposed amid the pandemic ensured that most commercial activities and vehicle transportation ceased, resulting in a significant reduction in air pollution levels. Material and Methods: The value of air pollutants PM10, PM2.5, NO2, and SO2 from January to May 2020 was obtained from the Indian Central Pollution Control Board. Before lockdown and during lockdown, relative fluctuations in ambient concentrations of four air contaminants were investigated. The Box-Jenkins approach was used to estimate future air pollution data points using time series data analysis. Results: The PM10 level reduced by 61%, 30%, 68%, 37%, and 43% in the selected cities, respectively. Comparison of other pollutant concentrations before and after the lockdown also found a reduction in ambient pollutant concentrations, resulting in improved air quality. Inference of predicted model values to observed values revealed a significant increase in the concentrations of all pollutants. The percentage increases in AQImean from predicted to observed values were 206% in Ghaziabad, 148% in Delhi, 59% in Hyderabad, and 160% in Cochin. Conclusion: The strict lockdown has resulted in a significant drop in air pollutant levels. Upgrading present technologies could help keep pollution to a minimum of 37% under control. The findings would prompt the government to consider how to strictly reduce vehicle and industrial pollution to improve air quality and maintain improved public health. [ABSTRACT FROM AUTHOR]

Background: Maternal and child health (MCH) care is one of the essential routine healthcare services, which got affected during the coronavirus disease 2019 (COVID-19) pandemic. Modeled projections had anticipated an 8.3%-38.6% rise in maternal mortality from different countries globally. In view of limited studies pertaining to issues related to accessing MCH services in the event of a pandemic, this study was carried out on pregnant and postnatal mothers in Odisha, India. Methods: An explorative qualitative study through 36 in-depth interviews (IDIs) was conducted among 16 (44.4%) antenatal and 20 (55.5%) postnatal mothers in six of thirty districts of Odisha, India, from February to April 2021. The districts and blocks were randomly selected for better representativeness. The IDIs were conducted using a predesigned and pretested guide among mothers who had undergone delivery or availed of antenatal, postnatal, or child health services from October 2020 to April 2021. The IDIs were conducted till data saturation. The data were analyzed using MAXQDA software. Results: The average age of mothers was 27.6 (+/- 2.2) years. Among the participants, 16 (44.4%) were antenatal and 20 (55.6%) were postnatal mothers; 19 (52.8%) were primipara and 17 (47.2%) were multipara. The majority explained that they received enormous support including door-to-door services from the community health workers (CHWs) even during the difficult times of the pandemic. Reduced transportation facility and fear of contracting the infection were reasons behind the unwillingness to visit health facilities and preference for home delivery. Furthermore, the pandemic had physical, mental, social, and financial impacts among pregnant and postnatal women. Conclusion: The unprecedented COVID-19 pandemic has affected access to MCH services by antenatal and postnatal mothers. Health system preparedness and appropriate strategies including better community engagement and participation could avert such challenges in the future. [ABSTRACT FROM AUTHOR]

Across India, there have been multiple studies conducted to address the issues of the mental health of healthcare workers during the COVID-19 pandemic. The present study estimated the pooled prevalence of psychological morbidity among healthcare workers during the early phase of the COVID 19 pandemic in India. We searched the following electronic bibliographic databases: PubMed, ScienceDirect, Wiley online library, and Google scholar for studies conducted from the onset of the COVID 19 pandemic until 25 September 2021. The methodological quality of each study was scored and outcome measures with uniform cut off scores as per various screening measurements were evaluated. According to the current meta analysis, the pooled estimates of depression, anxiety, stress, and insomnia among Indian healthcare workers during the COVID 19 pandemic are 20.1% (95% CI: 15.6 to 24.6%; n = 21 studies), 25.0% (95% CI: 18.4 to 31.6%; n = 20 studies), 36% (95% CI: 23.7 to 48.2%; n = 22 studies) and 18.9% (95% CI: 9.9 to 28.0%; n = 6 studies) respectively. In subgroup analyses, low quality studies based on the JBI checklist (Score < 3/9) and studies using DASS 21 showed a higher pooled prevalence of depression and anxiety. About 20–36% of the healthcare workers in India reported having depression, anxiety, and stress during the early phase of the COVID 19 pandemic. The present study provides a comprehensive review of the overall burden of mental health problems among healthcare workers during the COVID 19 pandemic in India necessitating appropriate intervention strategies to protect these frontline groups before the memory of the pandemic crisis starts to fade. [ABSTRACT FROM AUTHOR]