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The unprecedented healthcare demand due to sudden outbreak of coronavirus disease 2019 (COVID-19) pandemic has almost collapsed the health care systems especially in the developing world. Given the disastrous outbreak of COVID-19 second wave in India, the health system of country was virtually at the brink of collapse. Therefore, to identify the factors that resulted into breakdown and the challenges, Indian healthcare system faced during the second wave of COVID-19 pandemic, this paper analysed the health system challenges in India and the way forward in accordance with the six building blocks of world health organization (WHO). Applying integrated review approach, we found that the factors such as poor infrastructure, inadequate financing, lack of transparency and poor healthcare management resulted into the overstretching of healthcare system in India. Although health system in India faced these challenges from the very beginning, but early lessons from first wave should have been capitalized to avert the much deeper crisis in the second wave of the pandemic. To sum-up given the likely future challenges of pandemic, while healthcare should be prioritized with adequate financing, strong capacitybuilding measures and integration of public and private sectors in India. Likewise fiscal stimulus, risk assessment, data availability and building of human resources chain are other key factors to be strengthened for mitigating the future healthcare crisis in country. [ABSTRACT FROM AUTHOR]

Background: Developing public health educational programs that provide workers prepared to adequately respond to health system challenges is an historical dilemma. In India, the focus on public health education has been mounting in recent years. The COVID-19 pandemic is a harbinger of the increasing complexities surrounding public health challenges and the overdue need to progress public health education around the world. This paper aims to explore strengths and challenges of public health educational institutions in India, and elucidate unique opportunities to emerge as a global leader in reform.Methods: To capture the landscape of public health training in India, we initiated a web-based desk review of available offerings and categorized by key descriptors and program qualities. We then undertook a series of in-depth interviews with representatives from a purposively sample of institutions and performed a qualitative SWOT analysis.Results: We found that public health education exists in many formats in India. Although Master of Public Health (MPH) and similar programs are still the most common type of public health training outside of community medicine programs, other postgraduate pathways exist including diplomas, PhDs, certificates and executive trainings. The strengths of public health education institutions include research capacities, financial accessibility, and innovation, yet there is a need to improve collaborations and harmonize training with well-defined career pathways. Growing attention to the sector, improved technologies and community engagement all hold exciting potential for public health education, while externally held misconceptions can threaten institutional efficacy and potential.Conclusions: The timely need for and attention to public health education in India present a critical juncture for meaningful reform. India may also be well-situated to contextualize and scale the types of trainings needed to address complex challenges and serve as a model for other countries and the world. [ABSTRACT FROM AUTHOR]

In 2020 editor-in-chief (Andrew Malekoff) issued a special call for papers for group work stories on pandemic 2020. Among the 28 stories accepted for the series there were 16 from India, 9 from the United States, 2 from Canada and 1 from Israel. General submissions from the U.S., Canada and Israel were typical for the journal. Atypical are submissions from India. Rather than publish the stories in one special issue of the Journal, he decided to spread them out over several issues through 2022. In the course of organizing the special series (with a December 2021 deadline) he continued communication with a few of the authors from India, with particular interest and concern in the deteriorating situation as 2021 unfolded. Although the present commentary is not about group work per se, it is an update by Ajay Saini, Nancy and Andrew Malekoff on the current state of affairs in India, with some contrast to the situation in the U.S., that offers continuing context for the stories in the series. [ABSTRACT FROM AUTHOR]

Background: This update outlines amendments to the CHAMPION2/STRIPES2 cluster randomised trial protocol primarily made due to the COVID-19 pandemic and nationwide lockdown in India in 2020. These amendments were in line with national guidelines for health research during the COVID-19 pandemic. Methods: We did not change the original trial design, eligibility, and outcomes. Amendments were introduced to minimise the risk of COVID-19 transmission and ensure safety and wellbeing of trial staff, participants, and other villagers. CHAMPION2 intervention: participatory learning and action (PLA) and fixed day service (FDS) meeting were revised to incorporate social distancing and hygiene precautions. During the COVID-19 pandemic, PLA participation was limited to pregnant women and birthing partners. STRIPES2 intervention: before/after-school classes were halted for a period and then modified temporarily (reducing class sizes, and/or changing meeting places) with hygiene and safe distancing practices introduced. Data collection: The research team gathered as much information as possible from participants by telephone. If the participant had no telephone or could not be contacted by telephone, data were collected in person. COVID-19 precautions: trial teams were trained on COVID-19 precautions and used personal protective equipment whilst in the villages for trial-related activities. After restarting the trial between June and September 2020 in a phased manner, some trial activities were suspended again in all the trial villages from April to June 2021 due to the second wave of COVID-19 cases and lockdown imposed in Satna, Madhya Pradesh. Trial timelines were also revised, with outcomes measured later than originally planned. Trial registration: Clinical Trial Registry of India CTRI/2019/05/019296. Registered 23 May 2019. https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MzExOTg=&Enc=&userName=champion2. [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]

Introduction: Maharashtra, India, remained a hotspot during the COVID-19 pandemic. After the initial complete lockdown, the state slowly relaxed restrictions. We aim to estimate the lockdown's impact on COVID-19 cases and associated healthcare costs. Methods: Using daily case data for 84 days (9 March–31 May 2020), we modeled the epidemic's trajectory and predicted new cases for different phases of lockdown. We fitted log-linear models to estimate the growth rate, basic (R0), daily reproduction number (Re), and case doubling time. Based on pre-restriction and Phase 1 R0, we predicted new cases for the rest of the restriction phases, and we compared them with the actual number of cases during each phase. Furthermore, using the published and gray literature, we estimated the costs and savings of implementing these restrictions for the projected period, and we performed a sensitivity analysis. Results: The estimated median R0 during the different phases was 1.14 (95% CI: 0.85, 1.45) for pre-lockdown, 1.67 (95% CI: 1.50, 1.82) for phase 1 (strict mobility restrictions), 1.24 (95% CI: 1.12, 1.35) for phase 2 (extension of phase 1 with no restrictions on agricultural and essential services), 1.12 (95% CI: 1.01, 1.23) for phase 3 (extension of phase 2 with mobility relaxations in areas with few infections), and 1.05 (95% CI: 0.99, 1.123) for phase 4 (implementation of localized lockdowns in high-case-load areas with fewer restrictions on other areas), respectively. The corresponding doubling time rate for cases (in days) was 17.78 (95% CI: 5.61, −15.19), 3.87 (95% CI: 3.15, 5.00), 10.37 (95% CI: 7.10, 19.30), 20.31 (95% CI: 10.70, 212.50), and 45.56 (95% CI: 20.50, –204.52). For the projected period, the cases could have reached 631,819 without the lockdown, as the actual reported number of cases was 64,975. From a healthcare perspective, the estimated total value of averted cases was INR 194.73 billion (USD 2.60 billion), resulting in net cost savings of 84.05%. The Incremental Cost-Effectiveness Ratio (ICER) per Quality Adjusted Life Year (QALY) for implementing the lockdown, rather than observing the natural course of the pandemic, was INR 33,812.15 (USD 450.83). Conclusion: Maharashtra's early public health response delayed the pandemic and averted new cases and deaths during the first wave of the pandemic. However, we recommend that such restrictions be carefully used while considering the local socio-economic realities in countries like India. [ABSTRACT FROM AUTHOR]

The Uttarakhand State, known for its Himalayan Mountains, is a territory in Northern India that is extremely vulnerable to earthquakes, landslides, and floods. Currently, due to the COVID-19 outbreak, India is facing the dual challenge of containing a pandemic and responding to natural disasters. This situation can have a negative impact on the health and the economic development of the region, leading to a long-lasting humanitarian crisis that can disrupt even more, the already overburdened health service. In addition, it can pose serious threats to the wellbeing of the population as it complicates physical distancing and other COVID-19 prevention measures. It is of utmost importance to analyse the impact of floods, landslides, and COVID-19 pandemic on the health system of the Uttarakhand State, and how these crises interact with each other. [ABSTRACT FROM AUTHOR]

Mucormycosis emerged as a major public health challenge during the second wave of the COVID-19 pandemic in India in mid-2021. The disease, colloquially known as the Black fungus, was declared epidemic by the government. This review describes the epidemiological pattern and the determinants of mucormycosis. The review also proposes evidence based public health strategies for the prevention and control of mucormycosis. The rationale use of steroids in clinical management, formulation of evidence-based standard treatment guidelines and adherence to those guidelines by physicians, the strengthening of primary healthcare services to facilitate early care; compliance with infection prevention and control measures at all the health facilities; and early diagnosis and case management are the key strategies to prevent future emergence of mucormycosis. The article concludes that it is not enough that we tackle a health challenge at hand, in crisis mode. It is equally important that we derive learnings and take measures prevent any future. Effective control of mucormycosis and prevention of future outbreaks of disease is possible through coordinated actions of health policy makers, public health experts and clinicians. The entire episode is also a reminder for strengthening India's health systems at all levels – primary, secondary and tertiary – as well as in both public and private sector. [ABSTRACT FROM AUTHOR]

The non-governmental but not-for-profit sector seems to bridge the gap apparent in a shortage of government resources and unaffordable for-profit services in the healthcare market of India. Based on a background study about the non-governmental organisation for official health accounts, it was found to be imperative, especially in providing preventive and promotive healthcare services. To the current health expenditure of the country, this sector contributes around 2.1%, with funds generated largely as grants from governments and foreign sources. Indeed, financial contribution is not as imperative as the ability to reach grassroots for providing healthcare, which should be considered as an opportunity to augment the capacity of the health system, especially during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Objective: Coronavirus disease (COVID-19) has emerged as a global pandemic for public health due to the large scale outbreak, therefore there is an urgent need to detect the infected cases quickly and isolate them in order to suppress the further spread of the disease. This study tries to identify a suitable pool testing method and algorithm for COVID-19. Methods: This study tries to derive a general equation for the number of tests required for a pooled sample to detect every infected individual in the specific pool. The gain in pool testing over the normal procedure is quantified by the percentage of tests required compared to individual testing. Results: The percentage of tests required by the pool testing strategy varies according to the different splitting procedures, the size of the pooled sample, and the probability of an individual being infected in the population. If the probability of infection is 0.05, then for a pool size of 32, only 14 tests are sufficient to detect every infected individual. Conclusion: The number of tests required to detect infected individuals by using the pooling method is much lower than individual testing. This may help us with increasing our testing capacity for COVID-19 by testing a large number of individuals in less time with limited resources. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) is caused by SARS-CoV-2, which is known for the multiple mutations and forms that have rapidly spread across the world. With the imminent challenges faced by low- and middle-income countries in curbing the public health fallbacks due to limited resources, mucormycosis emerged as a fungal infection associated with high mortality. In this rapid review, we explored MEDLINE, Cochrane, Web of Science, WHO Global Database, and the search engine—Google Scholar for articles listed until July 2021 and presented a narrative synthesis of findings from 39 articles. The epidemiology, causative factors, incidence parameters, pharmacological treatment, and recommendations for low- and middle-income countries are enlisted. This study concludes that a majority of the globally reported COVID-19 associated mucormycosis cases stemmed from India. Individuals receiving systemic corticosteroids or who have a history of diabetes mellitus are more prone to contracting the disease. Public health authorities in LMIC are recommended to strengthen antifungal therapies for COVID-19 associated mucormycosis and to strategize reduction in diabetes mellitus prevalence. [ABSTRACT FROM AUTHOR]

Purpose: The COVID-19 pandemic is certain to have an unprecedented impact on the global population, but marginalized and vulnerable groups in low-income countries (LICs) are predicted to carry the largest burden. This study focuses on the implications of COVID-19-related measures on three population groups in India, including (1) migrant laborers (of which a majority come from Scheduled Castes (SCs) and Scheduled Tribes (STs), as well as Other Backward Classes (OBCs)), (2) children from low-income families and, (3) refugees and internally displaced persons (IDPs). Design/methodology/approach: This study adopts a sequential mixed-method research design. A desk-based study of a selection of government reports was undertaken on the COVID-19-related mitigation measures. The desk study was followed by in-depth interviews with purposively recruited high-ranking experts in specific sectors of policy implementation and service delivery across the country. Findings: The outcomes of this study shed light on (1) the most urgent needs that need to be addressed per population group, (2) the variety of state-level responses as well as best practices observed to deal with mitigation issues and (3) opportunities for quick relief as well as more long-term solutions. Practical implications: The COVID-19 pandemic has not only reduced people's means of maintaining a livelihood but has simultaneously revealed some of India's long-standing problems with infrastructure and resource distribution in a range of sectors, including nutrition and health, education, etc. There is an urgent need to construct effective pathways to trace and respond to those people who are desolate, and to learn from – and support – good practices at the grassroot level. Originality/value: The current study contributes to the discussion on how inclusive public health might be reached. [ABSTRACT FROM AUTHOR]

The World Health Organization (WHO) declared the Coronavirus Disease (COVID‐19) a pandemic due to the huge upsurge in the number of reported cases worldwide. The COVID‐19 pandemic in India has become a public health threat, and if we go by the number of confirmed cases then the situation seems to be a matter of grave concern. According to real‐time data, the numbers of confirmed cases are growing exponentially. No doubt, substantial public health interventions both at the national and state levels are implemented immediately by the Government of India; there is a need for improved preparedness plans and mitigation strategies along with accurate forecasting. The present study aims to forecast the COVID‐19 outbreak infected cases in India. The data have been obtained from https://www.covid19india.org, https://www.worldometers.info/coronavirus, and ICMR reported publicly available information about COVID‐19 confirmation cases. We have used the double exponential smoothing method for forecasting the trends in terms of confirmed, active, recovered and death cases from COVID‐19 for emergency preparedness and future predictions. Findings reveal that the estimated value of point forecast is just 8.22% of the total number of confirmed cases reported on a daily basis across the country. It was observed that the deaths were lower for the states and union territories with a higher detection rate. It is suggested that by keeping in view the limited healthcare resources in the country, accurate forecasting, early detection, and avoidance of acute care for the majority of infected cases is indispensable. [ABSTRACT FROM AUTHOR]