The Factors Associated With COVID-19 Infection Among Healthcare Workers at a Tertiary Care Institution in North India: A Case-Control Study.

Background and objective Healthcare workers (HCWs) are at a higher risk of contracting coronavirus disease 2019 (COVID-19) since they regularly come into direct contact with infected patients and their surroundings. In light of this, it is critical to study the potential risk factors for SARS-CoV-2 infection among HCWs to help determine its transmission patterns and prevent infections among HCWs, as well as healthcare-associated COVID-19. Methods We conducted a case-control study at a tertiary healthcare center from December 2020 to August 2021. HCWs who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, by RT-PCR were included as cases and those who tested negative for RT-PCR and SARS-CoV-2 antibodies were recruited as controls. We interviewed 316 HCWs (187 cases and 129 controls) by using the WHO questionnaire titled "Protocol for assessment of potential risk factors for coronavirus disease 2019 among health workers in a health care setting" to assess infection prevention and control (IPC) knowledge and practices, including the use of personal protective equipment (PPE). The odds ratio (OR) for factors associated with infection was determined by multivariable logistic regression. Results The majority (87.2%) of the cases were symptomatic. Adherence to IPC measures was higher among controls as compared to cases. A significantly higher number of controls used PPE compared to cases. The proportions of HCWs involved in cleaning, patient transport, reception, and catering were higher among cases (37.9%) compared to controls (19.1%). In multivariable analysis, undergoing training on care for COVID-19 patients was associated with a lower risk of infection (OR: 0.40, 95% CI: 0.24-0.69). Conclusions Adherence to IPC and use of PPE were significantly higher among controls as compared to cases. Receiving training in COVID-19 patient care and compliance with IPC measures were associated with a lower risk of COVID-19 infection among HCWs in this study.

Construction and validation of a covariate-based model for district-level estimation of excess deaths due to COVID-19 in India.

Background: Different statistical approaches for estimating excess deaths due to coronavirus disease 2019 (COVID-19) pandemic have led to varying estimates. In this study, we developed and validated a covariate-based model (CBM) with imputation for prediction of district-level excess deaths in India. Methods: We used data extracted from deaths registered under the Civil Registration System for 2015-19 for 684 of 713 districts in India to estimate expected deaths for 2020 through a negative binomial regression model (NBRM) and to calculate excess observed deaths. Specifically, we used 15 covariates across four domains (state, health system, population, COVID-19) in a zero inflated NBRM to identify covariates significantly (P < 0.05) associated with excess deaths estimate in 460 districts. We then validated this CBM in 140 districts by comparing predicted and estimated excess. For 84 districts with missing covariates, we validated the imputation with CBM by comparing estimated with predicted excess deaths. We imputed covariate data to predict excess deaths for 29 districts which did not have data on deaths. Results: The share of elderly and urban population, the under-five mortality rate, prevalence of diabetes, and bed availability were significantly associated with estimated excess deaths and were used for CBM. The mean of the CBM-predicted excess deaths per district (x̄ = 989, standard deviation (SD) = 1588) was not significantly different from the estimated one (x̄ = 1448, SD = 3062) (P = 0.25). The estimated excess deaths (n = 67 540; 95% confidence interval (CI) = 35 431, 99 648) were similar to the predicted excess death (n = 64 570; 95% CI = 54 140, 75 000) by CBM with imputation. The total national estimate of excess deaths for all 713 districts was 794 989 (95% CI = 664 895, 925 082). Conclusions: A CBM with imputation can be used to predict excess deaths in an appropriate context.

Prevalence and determinants of anemia due to micronutrient deficiencies among children aged 12-59 months in India-Evidence from Comprehensive National Nutrition Survey, 2016-18.

The present study aimed to estimate the prevalence of anemia, and anemia with micronutrient deficiencies (iron/ vitamin B12/ folic acid) and their determinants among children aged 12-59 months in India. Comprehensive National Nutritional Survey (2016-2018) is Asia's largest nutrition survey conducted among 0-19 years aged children in India. We used generalised linear model (modified Poisson) with adjusted prevalence ratio (aPR) to assess the socio-economic and biochemical factors associated with anemia and anemia with micronutrient deficiencies amongst children aged 12 to 59 months. Out of the total of 11,237 children included in the study, 40.5% (95%CI:38·6-42·6) were anemic, 30.0% (95%CI:27·8-32·4) had anemia with micronutrient deficiencies and 60.9% (95%CI:58·2-63·5) had micronutrient deficiencies with or without anemia. Younger age (aPR(95%CI) for one year old: 1.9(1.5-2.4), two year old: 1.8(1.5-2.2), three year old: 1.4(1.2-1.7) compared to four year old children) and lower educational status of the mother (mothers without formal schooling aPR(95%CI):1.4(1.1-1.8); 1-9 standards: 1.4(1.2-1.7)) vs mother educated with high school and above, consumption of less than 100 iron-folic acid tablets during pregnancy (aPR(95%CI):1.3(1.0-1.7) vs consumption of ≥ 180 tablets, any self-reported illness among children within two weeks preceding the interview (aPR(95%CI):1.2(1.1-1.4) vs no-illnesses, iron deficiency (aPR(95%CI):2.2(2.0-2.6)) and zinc deficiency (aPR(95%CI):1.3(1.1-1.4)) were associated with anemia in children. Among anemic, the children from scheduled tribe (aPR(95%CI):1.4(1.1-1.8)) vs other caste categories, and those following unsafe child faeces disposal practices (aPR(95%CI):1.2(1.0-1.4)) vs those who follow safe faeces disposal practices had higher chance of having micronutrient deficiency. One third of children aged 12-59 months had anemia with micronutrient deficiency (iron/ folic acid/ vitamin B12). More than half of children had micronutrient deficiencies irrespective of anemia. Micronutrient deficiencies, antenatal IFA intake, safe hygiene practices need to be strengthened to leave no stone unturned in control of anemia among under-five children in India.

Long-Term Kinetics of SARS-CoV-2 Neutralizing and Anti-Receptor Binding Domain Antibodies among Laboratory-Confirmed COVID-19 Cases in Delhi National Capital Region, India: A Prospective, One-Year Follow-Up Study.

Background: This study was conducted with the objective of measuring the neutralizing and anti-receptor binding domain antibody levels against SARS-CoV-2 among laboratory-confirmed COVID-19 cases and exploring its long-term kinetics over a period of 1 year. Methods: One hundred laboratory-confirmed COVID-19 cases were recruited. Serum samples of the participants were collected within three months from the date of the positive COVID-19 report. The participants were prospectively followed up every three months for symptoms and the collection of blood samples for three additional rounds. The presence of anti-SARS-CoV-2 antibodies (IgA, IgG, and IgM antibodies), anti-receptor binding domain antibodies (anti-RBD), and neutralizing antibodies were measured. Findings: Median plaque reduction neutralization test (PRNT) titers showed a rising trend in the first three rounds of follow-up. The quantitative anti-receptor binding domain ELISA (QRBD) values showed a declining trend in the initial three rounds. However, both the PRNT titers and QRBD values showed significantly higher values for the fourth round of follow-up. Total antibody (WANTAI) levels showed an increasing trend in the initial three rounds (statistically significant). Interpretation: Neutralizing antibodies showed an increasing trend. The anti-receptor binding domain antibodies showed a decreasing trend. Neutralizing antibodies and anti-RBD antibodies persisted in the majority.

Cell-Mediated Immunity (CMI) for SARS-CoV-2 Infection Among the General Population of North India: A Cross-Sectional Analysis From a Sub-sample of a Large Sero-Epidemiological Study.

Background Cell-mediated immunity (CMI), or specifically T-cell-mediated immunity, is proven to remain largely preserved against the variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including Omicron. The persistence of cell-mediated immune response in individuals longitudinally followed up for an extended period remains largely unelucidated. To address this, the current study was planned to study whether the effect of cell-mediated immunity persists after an extended period of convalescence or vaccination. Methods Whole blood specimens of 150 selected participants were collected and tested for Anti-SARS-CoV-2 Interferon-gamma (IFN-γ) response. Ex vivo SARS-CoV-2-specific interferon-gamma Enzyme-linked Immunospot (IFN-γ ELISpot) assay was carried out to determine the levels of virus-specific IFN-γ producing cells in individual samples. Findings Out of all the samples tested for anti-SARS-CoV-2 T-cell-mediated IFN-γ response, 78.4% of samples were positive. The median (interquartile range) spots forming units (SFU) per million levels of SARS-CoV-2-specific IFN-γ producing cells of the vaccinated and diagnosed participants was 336 (138-474) while those who were vaccinated but did not have the disease diagnosis was 18 (0-102); the difference between the groups was statistically significant. Since almost all the participants were vaccinated, a similar pattern of significance was observed when the diagnosed and the never-diagnosed participants were compared, irrespective of their vaccination status. Interpretations Cell-mediated immunity against SARS-CoV-2 persisted, irrespective of age and sex of the participant, for more than six months of previous exposure. Participants who had a history of diagnosed COVID-19 infection had better T-cell response compared to those who had never been diagnosed, in spite of being vaccinated.