Vaccination coverage and breakthrough infections of COVID-19 during the second wave among staff of selected medical institutions in India.

India experienced the second wave of SARS-CoV-2 infection from April 3 to June 10, 2021. During the second wave, Delta variant B.1617.2 emerged as the predominant strain, spiking cases from 12.5 million to 29.3 million (cumulative) by the end of the surge in India. Vaccines against COVID-19 are a potent tool to control and end the pandemic in addition to other control measures. India rolled out its vaccination programme on January 16, 2021, initially with two vaccines that were given emergency authorization-Covaxin (BBV152) and Covishield (ChAdOx1 nCoV- 19). Vaccination was initially started for the elderly (60+) and front-line workers and then gradually opened to different age groups. The second wave hit when vaccination was picking up pace in India. There were instances of vaccinated people (fully and partially) getting infected, and reinfections were also reported. We undertook a survey of staff (front line health care workers and supporting) of 15 medical colleges and research institutes across India to assess the vaccination coverage, incidence of breakthrough infections, and reinfections among them from June 2 to July 10, 2021. A total of 1876 staff participated, and 1484 forms were selected for analysis after removing duplicates and erroneous entries (n = 392). We found that among the respondents at the time of response, 17.6% were unvaccinated, 19.8% were partially vaccinated (received the first dose), and 62.5% were fully vaccinated (received both doses). Incidence of breakthrough infections was 8.7% among the 801 individuals (70/801) tested at least 14 days after the 2nd dose of vaccine. Eight participants reported reinfection in the overall infected group and reinfection incidence rate was 5.1%. Out of (N = 349) infected individuals 243 (69.6%) were unvaccinated and 106 (30.3%) were vaccinated. Our findings reveal the protective effect of vaccination and its role as an essential tool in the struggle against this pandemic.

Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite Case-Control Study.

Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused more than 6 million deaths globally. Understanding predictors of mortality will help in prioritizing patient care and preventive approaches. This was a multicentric, unmatched, hospital-based case-control study conducted in nine teaching hospitals in India. Cases were microbiologically confirmed COVID-19 patients who died in the hospital during the period of study and controls were microbiologically confirmed COVID-19 patients who were discharged from the same hospital after recovery. Cases were recruited sequentially from March 2020 until December-March 2021. All information regarding cases and controls was extracted retrospectively from the medical records of patients by trained physicians. Univariable and multivariable logistic regression was done to assess the association between various predictor variables and deaths due to COVID-19. A total of 2,431 patients (1,137 cases and 1,294 controls) were included in the study. The mean age of patients was 52.8 years (SD: 16.5 years), and 32.1% were females. Breathlessness was the most common symptom at the time of admission (53.2%). Increasing age (adjusted odds ratio [aOR]: 46-59 years, 3.4 [95% CI: 1.5-7.7]; 60-74 years, 4.1 [95% CI: 1.7-9.5]; and ≥ 75 years, 11.0 [95% CI: 4.0-30.6]); preexisting diabetes mellitus (aOR: 1.9 [95% CI: 1.2-2.9]); malignancy (aOR: 3.1 [95% CI: 1.3-7.8]); pulmonary tuberculosis (aOR: 3.3 [95% CI: 1.2-8.8]); breathlessness at the time of admission (aOR: 2.2 [95% CI: 1.4-3.5]); high quick Sequential Organ Failure Assessment score at the time of admission (aOR: 5.6 [95% CI: 2.7-11.4]); and oxygen saturation < 94% at the time of admission (aOR: 2.5 [95% CI: 1.6-3.9]) were associated with mortality due to COVID-19. These results can be used to prioritize patients who are at increased risk of death and to rationalize therapy to reduce mortality due to COVID-19.

Expanding Roles of Accredited Social Health Activists (ASHAs) in the 2019 Hepatitis E Outbreak in a Peri-urban Slum, Nagpur, India.

OBJECTIVE: Due to constraints in the dedicated health work force, outbreaks in peri-urban slums are often reported late. This study explores the feasibility of deploying Accredited Social Health Activists (ASHAs) in outbreak investigation and understand the extent to which this activity gives a balanced platform to fulfil their roles during public health emergencies to reduce its impact and improve mitigation measures. METHODS: Activities of ASHAs involved in the hepatitis E outbreak were reviewed from various registers maintained at the subcenter. Also, various challenges perceived by ASHAs were explored through focus group discussion (FGD). During March to May 2019, 13 ASHAs involved in the hepatitis outbreak investigation and control efforts in a peri-urban slum of Nagpur with population of around 9000. In total, 192 suspected hepatitis E cases reported. RESULTS: During the outbreak, ASHAs performed multiple roles comprising house-to-house search of suspected cases, escorting suspects to confirm diagnosis and referral, community mobilization for out-reach investigation camps, risk communication to vulnerable, etc. During the activity, ASHAs faced challenges such as constraints in the logistics, compromise in other health-related activities, and challenges in sustaining behavior of the community. CONCLUSIONS: It is feasible to implement the investigation of outbreaks through ASHAs. Despite challenges, they are willing to participate in these activities as it gave them an opportunity to fulfil the role as an activist, link worker, as well as a community interface.

Social isolation, social support, and psychological distress among the elderly during the COVID-19 pandemic: A cross-sectional study from central India.

Background: In the present COVID-19 pandemic, social distancing measures have been advised to protect elderly from infection which might have led to poor mental health state. Objective: A cross-sectional study was carried out to assess the magnitude of social isolation, social support, and psychological distress among the elderly during the COVID-19 pandemic in Central India. Methods: The estimated sample size was 1535. The sample was equally distributed among rural, semiurban, and urban strata of districts. Social isolation was measured using Lubben's Social Network Scale-Revised, and psychological distress was assessed using Kessler K10 Psychological Distress Scale. Other parameters such as a history of COVID-19 illness and COVID-19 vaccination were assessed. Results: The prevalence of social isolation was higher at 23.6% during the COVID-19 pandemic compared to before the pandemic period (15.0%). The majority perceived a high level of social support during the pandemic (55.3%) and 39.9% received moderate support. Overall, 18.4% of the respondents had psychological distress. Out of them, 56.2% had mild distress, 20.1% had moderate distress, and 23.7% had severe distress. Significant predictors of psychological distress were female gender, lower socioeconomic status, history of COVID-19 disease among the participants, social isolation, and lack of social support. Conclusion: Social isolation and lack of social support were significant predictors of psychological distress among the elderly during the pandemic.

Optimal Drug Regimen and Combined Drug Therapy and Its Efficacy in the Treatment of COVID-19: A Within-Host Modeling Study.

The COVID-19 pandemic has resulted in more than 524 million cases and 6 million deaths worldwide. Various drug interventions targeting multiple stages of COVID-19 pathogenesis can significantly reduce infection-related mortality. The current within-host mathematical modeling study addresses the optimal drug regimen and efficacy of combination therapies in the treatment of COVID-19. The drugs/interventions considered include Arbidol, Remdesivir, Interferon (INF) and Lopinavir/Ritonavir. It is concluded that these drugs, when administered singly or in combination, reduce the number of infected cells and viral load. Four scenarios dealing with the administration of a single drug, two drugs, three drugs and all four are discussed. In all these scenarios, the optimal drug regimen is proposed based on two methods. In the first method, these medical interventions are modeled as control interventions and a corresponding objective function and optimal control problem are formulated. In this framework, the optimal drug regimen is derived. Later, using the comparative effectiveness method, the optimal drug regimen is derived based on the basic reproduction number and viral load. The average number of infected cells and viral load decreased the most when all four drugs were used together. On the other hand, the average number of susceptible cells decreased the most when Arbidol was administered alone. The basic reproduction number and viral load decreased the most when all four interventions were used together, confirming the previously obtained finding of the optimal control problem. The results of this study can help physicians make decisions about the treatment of the life-threatening COVID-19 infection.

Seroprevalence of anti-SARS-CoV-2 of IgG antibody by ELISA: Community-based, cross-sectional study from urban area of Malegaon, Maharashtra.

BACKGROUND: Given the high incidence of asymptomatic or subclinical SARS-CoV-2 infection, reported cases likely underestimate the overall prevalence and infectivity of COVID-19. Serological test for IgG can provide a better measure of disease activity by identifying asymptomatic or subclinical infection. This study was conducted to estimate the seroprevalence of SARS-CoV-2 infection and to the determinants of SARS-CoV-2 infection in the hotspot area of COVID-19. METHOD: It was a community-based, cross-sectional study using multistage sampling with a sample size of 360. After informed consent, the demographic information, past history of SARI/ILI, contact, COVID-19 status were collected. The blood samples were taken from one family member for anti-SARS-CoV-2 IgG antibody by ELISA testing kit. RESULTS: Majority of the study subjects had no history of SARI (86%) or any contact with COVID-19 case (98%). Overall seroprevalence of anti-SARS-CoV-2 of IgG antibody was 40% (95% CI 35-45%), infection fatality rate (IFR) was 0.7%. Seroprevalence varied significantly depending on religious background; with Muslims (53%) seroprevalence compared to other religious groups. Seroprevalence of homemaker/unemployed (49%) and laborer (55%) was significantly higher compared to business (30%) and service occupation (21%). Subjects with overcrowding conditions and poor ventilation was significantly associated with higher seroprevalence with odds ratio of 2.5 and 2.3, respectively. CONCLUSION: The antibody testing detects a large number of asymptomatic cases or previously infected cases which would have been missed by clinical history. Thus, the number of undiagnosed cases was found significantly higher even with rigorous implementation of lockdown.

Strategies of India against coronavirus disease-2019: A strengths, weaknesses, opportunities, and threats analysis

The coronavirus disease-2019 is a rapidly progressing pandemic that has jeopardized health infrastructure in many countries. India was to some extent successful to slow the rate of spread of disease by implementing multipronged strategies. Unfortunately, despite all efforts, the disease is rapidly progressing in India. The aim of this review is to critically appraise the strategies adopted by the Government of India to tackle this pandemic and to suggest suitable strategies for the current scenario. Strengths, weaknesses, opportunities, and threats analysis was done to assess the current scenario. Delayed and selective implementation of regulation on international travel, self-reporting of symptoms and undue reliance of thermal scanning for screening at the point of entry screening, poorly monitored home quarantine strategy with noncompliance, narrow testing strategy at the beginning with inability to capture asymptomatic case were some of the loopholes identified in the existing strategy. Improvement of inter-sectoral coordination by the development of Multi-disciplinary Epidemic Management board, involvement of AYUSH, judicious use of health manpower, and capacity development for indigenous production of personal protective equipment and other logistics, up-gradation of rural health facility and preparedness for second wave are the key recommendations. [ABSTRACT FROM AUTHOR] Copyright of Medical Journal of Dr. D.Y. Patil University is the property of Wolters Kluwer India Pvt Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)