Determinants of depression in Indian tribal adults: Evidence from the Longitudinal Ageing Study in India Wave-I survey.

BACKGROUND OBJECTIVES: The tribal populations are vulnerable to mental health issues owing to various reasons. However, limited research has been conducted to assess depression and related determinants among tribal adults aged ≥45 yr (45 years and older). The present study aimed to assess the prevalence and sociodemographic and health determinants of depressive symptoms among the scheduled tribe (ST) population aged ≥45 yr in India. METHODS: The present study analyzed the Wave I data of the Longitudinal Ageing Study in India conducted between April 2017 to December 2018. The outcome variables in the present study were self-reported depressive symptoms. Two internationally recognised tools, the Centre for Epidemiologic Studies Depression scale (CES-D) and Composite International Diagnostic Interview-Short Form (CIDI-SF), were used to obtain the data, however, only the CES-D data are utilized in this study. The present study focused on 12,215 ST individuals aged ≥45 yr from whom information about depressive symptoms was collected and analyzed. RESULTS: Nearly 25 per cent ST population aged 45 yr or older experienced depressive symptoms. The likelihood of experiencing depressive symptoms among the ST population aged ≥45 yr was negatively associated with 10 or more years of education and living with children and others and positively associated with experiencing multiple morbidity conditions. INTERPRETATION CONCLUSIONS: Given the substantial burden of depression among the adult ST population, the present study lays emphasis on raising the awareness about depressive symptoms and strengthen the availability of mental health services among the ST community through intensive campaigns and engagement of ST individuals along with other key stakeholders. Higher education, living with spouse and children and a physically active lifestyle can play a crucial role in limiting depressive symptoms among the tribal adults (≥45 yr). It is paramount to regularly screen depressive symptoms and conduct more microlevel studies to evaluate socioeconomic and health determinants of depressive symptoms among ST communities living in different geographic regions.

Assessment of effectiveness of targeted intervention program under national AIDS control program among injecting drug users across India.

Background: High HIV prevalence among injecting drug users (IDUs) remains a cause of concern and are considered key drivers of concentrated epidemic in India. The present paper aims to assess the effectiveness of the targeted intervention (TI) program on the risk behaviors among IDUs across regions of India. Materials and Methods: This paper used the data from the integrated biological and behavioral surveillance 2014-2015 among the IDUs in India. Descriptive statistics and propensity score matching analysis was carried out to understand the effectiveness of the TI program on the new needle/syringe used and needle/syringe shared in the last injecting episode by accounting for the covariates. Results: The matched samples estimate, i.e., average treatment effect on treated of new needles/syringe used and shared in the last injecting episode by those who received needles/syringes from peer educator or outreach workers (PE/ORWs) and those who did not receive was 2.8% (confidence interval [CI]: 0.05-5.6) increase in the use of new needles/syringes and 6.5% (CI: -9.7--3.3) decrease in the needles/syringes shared in last injecting episode indicating that IDUs who received new needles/syringes from PE/ORWs are more likely to use new needle/syringe and less likely to share needle/syringes to those who did not receive needles/syringes. The results vary across the different regions of India. Conclusion: TI program proves to be an effective initiative in the behavior change among IDUs as substantiated by use of new needles/syringes and decreased sharing of needles/syringes. TI program coverage varies from region to region and may further be expanded to accelerate the program services to prevent HIV/AIDS.

Analysis of Predictors and Outcomes of COVID-19 Patients Requiring ICU Admission from COVID-19 Registry, India.

Background: Patients admitted to intensive care units (ICUs) with severe coronavirus disease (COVID-19) are associated with high mortality. The present retrospective, multicenter study describes the predictors and outcomes of COVID-19 patients requiring ICU admission from COVID-19 Registry of Indian Council of Medical Research (ICMR), India. Materials and methods: Prospectively collected data from participating institutions were entered into the electronic National Clinical Registry of COVID-19. We enrolled patients aged >18 years with COVID-19 pneumonia requiring ICU admission between March 2020 and August 2021. Exclusion criteria were negative in RT-PCR report, death within 24 hours of ICU admission, or incomplete data. Their demographic and laboratory variables, ICU severity indices, treatment strategies, and outcomes were analyzed. Results: A total of 5,865 patients were enrolled. Overall mortality was 43.2%. Non-survivors were older (58.2 ± 15.4 vs 53.6 ± 14.7 years; p = 0.001), had multiple comorbidities (33.2% vs 29.5%, p = 0.001), had higher median D-dimer (1.56 vs 1.37, p = 0.015), higher CT severity index (16.8 ± 5.2 vs 13.5 ± 5.47, p = 0.001) and longer median hospital stay (10 vs 8 days, p = 0.001) and ICU stay (5 vs 4 days, p = 0.001), compared with survivors.On multivariate analysis, high CRP (HR 1.008, 95% CI: 1.006-1.010, p = 0.001) and high D-dimer (HR 1.089, 95% CI: 1.065-1.113, p < 0.001) were associated with invasive mechanical ventilation while older age (HR 1.19, CI: 1.001-1.038, p = 0.039) and high D-dimer (HR-1.121, CI: 1.072-1.172, p = 0.001) were independently associated with mortality and while the use of prophylactic low molecular weight heparin (LMWH) (HR 0.647, CI: 0.527-0.794, p = 0.001) lowered mortality. Conclusion: Among 5,865 COVID-19 patients admitted to ICU, mortality was 43.5%. High CRP and D-dimers were independently associated with the need for invasive mechanical ventilation while older age and high D-dimer were associated with higher mortality. The use of prophylactic LMWH independently reduced mortality. How to cite this article: Kajal K, Singla K, Puri GD, Bhalla A, Mukherjee A, Kumar G, et al. Analysis of Predictors and Outcomes of COVID-19 Patients Requiring ICU Admission from COVID-19 Registry, India. Indian J Crit Care Med 2023;27(8):552-562.

Characterizing the third wave of COVID-19: An analysis from the National Clinical Registry of COVID-19.

Background & objectives: Data from the National Clinical Registry for COVID-19 (NCRC) were analyzed with an aim to describe the clinical characteristics, course and outcomes of patients hospitalized with COVID-19 in the third wave of the pandemic and compare them with patients admitted earlier. Methods: The NCRC, launched in September 2020, is a multicentre observational initiative, which provided the platform for the current investigation. Demographic, clinical, treatment and outcome data of hospitalized COVID-19 patients were captured in an electronic data portal from 38 hospitals across India. Patients enrolled during December 16, 2021 to January 17, 2022 were considered representative of the third wave of COVID-19 and compared with those registered during November 15 to December 15, 2021, representative of the tail end of the second wave. Results: Between November 15, 2021 and January 17, 2022, 3230 patients were recruited in NCRC. Patients admitted in the third wave were significantly younger than those admitted earlier (46.7±20.5 vs. 54.6±18 yr). The patients admitted in the third wave had a lower requirement of drugs including steroids, interleukin (IL)-6 inhibitors and remdesivir as well as lower oxygen supplementation and mechanical ventilation. They had improved hospital outcomes with significantly lower in-hospital mortality (11.2 vs. 15.1%). The outcomes were better among the fully vaccinated when compared to the unvaccinated or partially vaccinated. Interpretation & conclusions: The pattern of illness and outcomes were observed to be different in the third wave compared to the last wave. Hospitalized patients were younger with fewer comorbidities, decreased symptoms and improved outcomes, with fully vaccinated patients faring better than the unvaccinated and partially vaccinated ones.

National guidelines for data quality in surveys: An overview.

Good quality health, nutrition and demographic survey data are vital for evidence-based decision-making. Existing literature indicates system specific, data collection and reporting gaps that affect quality of health, nutrition and demographic survey data, thereby affecting its usability and relevance. To mitigate these, the National Data Quality Forum (NDQF), under the Indian Council of Medical Research (ICMR) - National Institute of Medical Statistics (NIMS) developed the National Guidelines for Data Quality in Surveys delineating assurance mechanisms to generate standard quality data in surveys. The present article highlights the principles from the guidelines for informing survey researchers/organizations in generating good quality survey data. It describes the process of development of the national guidelines, principles for each of the survey phases listed in the document and applicability of them to data user for ensuring data quality. The guidelines may be useful to a broad-spectrum of audience such as data producers from government and non-government organizations, policy makers, research institutions, as well as individual researchers, thereby playing a vital role in improving quality of health, nutrition and demographic data ecosystem.

Development & validation of scales to assess stigma related to COVID-19 in India.

Background & objectives: COVID-19 pandemic has triggered social stigma towards individuals affected and their families. This study describes the process undertaken for the development and validation of scales to assess stigmatizing attitudes and experiences among COVID-19 and non-COVID-19 participants from the community. Methods: COVID-19 Stigma Scale and Community COVID-19 Stigma Scale constituting 13 and six items, respectively, were developed based on review of literature and news reports, expert committee evaluation and participants' interviews through telephone for a multicentric study in India. For content validity, 61 (30 COVID-19-recovered and 31 non-COVID-19 participants from the community) were recruited. Test-retest reliability of the scales was assessed among 99 participants (41 COVID-19 recovered and 58 non-COVID-19). Participants were administered the scale at two-time points after a gap of 7-12 days. Cronbach's alpha, overall percentage agreement and kappa statistics were used to assess internal consistency and test-retest reliability. Results: Items in the scales were relevant and comprehensible. Both the scales had Cronbach's α above 0.6 indicating moderate-to-good internal consistency. Test-retest reliability assessed using kappa statistics indicated that for the COVID-19 Stigma Scale, seven items had a moderate agreement (0.4-0.6). For the Community COVID-19 Stigma Scale, four items had a moderate agreement. Interpretation & conclusions: Validity and reliability of the two stigma scales indicated that the scales were comprehensible and had moderate internal consistency. These scales could be used to assess COVID-19 stigma and help in the development of appropriate stigma reduction interventions for COVID-19 infected, and mitigation of stigmatizing attitudes in the community.

Clinical profile of hospitalized COVID-19 patients in first & second wave of the pandemic: Insights from an Indian registry based observational study.

Background & objectives: India witnessed a massive second surge of COVID-19 cases since March 2021 after a period of decline from September 2020. Data collected under the National Clinical Registry for COVID-19 (NCRC) were analysed to describe the differences in demographic and clinical features of COVID-19 patients recruited during these two successive waves. Methods: The NCRC, launched in September 2020, is an ongoing multicentre observational initiative, which provided the platform for the current investigation. Demographic, clinical, treatment and outcome data of hospitalized, confirmed COVID-19 patients were captured in an electronic data portal from 41 hospitals across India. Patients enrolled during September 1, 2020 to January 31, 2021 and February 1 to May 11, 2021 constituted participants of the two successive waves, respectively. Results: As on May 11, 2021, 18961 individuals were recruited in the registry, 12059 and 6903 reflecting in-patients from the first and second waves, respectively. Mean age of the patients was significantly lower in the second wave [48.7 (18.1) yr vs. 50.7 (18.0) yr, P<0.001] with higher proportion of patients in the younger age group intervals of <20, and 20-39 yr. Approximately 70 per cent of the admitted patients were ≥ 40 yr of age in both waves of the pandemic. The proportion of males were slightly lower in second wave as compared to the first [4400 (63.7%) vs. 7886 (65.4%), P=0.02]. Commonest presenting symptom was fever in both waves. In the second wave, a significantly higher proportion [2625 (48.6%) vs. 4420 (42.8%), P<0.003] complained of shortness of breath, developed ARDS [422(13%) vs. 880 (7.9%), P<0.001], required supplemental oxygen [1637 (50.3%) vs. 4771 (42.7%), P<0.001], and mechanical ventilation [260 (15.9%) vs. 530 (11.1%), P<0.001]. Mortality also significantly increased in the second wave [OR: 1.35 (95% CI: 1.19, 1.52)] in all age groups except in <20 yr. Interpretation & conclusions: The second wave of COVID-19 in India was slightly different in presentation than the first wave, with a younger demography, lesser comorbidities, and presentation with breathlessness in greater frequency.

Findings from the 2017 HIV estimation round & trend analysis of key indicators 2010-2017: Evidence for prioritising HIV/AIDS programme in India.

Background & objectives: The National AIDS Control Organisation (NACO) and the ICMR-National Institute of Medical Statistics, the nodal agency for conducting HIV estimations in India, have been generating HIV estimates regularly since 2003. The objective of this study was to describe India's biennial HIV estimation 2017 process, data inputs, tool, methodology and epidemiological assumptions used to generate the HIV estimates and trends of key indicators for 2010-2017 at national and State/Union Territory levels. Methods: Demographic Projection (DemProj) and AIDS Impact Modules (AIM) of Spectrum 5.63 software recommended by the United Nations Programme on HIV and AIDS Global Reference Group on HIV Estimates, Modelling and Projections, were used for generating HIV estimations on key indicators. HIV sentinel surveillance, epidemiological and programme data were entered into Estimation Projection Package (EPP), and curve fitting was done using EPP classic model. Finally, calibration was done using the State HIV prevalence of two rounds of National Family Health Survey (NFHS) -3 and -4 and Integrated Biological and Behavioural Surveillance (IBBS), 2014-2015. Results: The national adult prevalence of HIV was estimated to be 0.22 per cent in 2017. Mizoram, Manipur and Nagaland had the highest prevalence over one per cent. An estimated 2.1 million people were living with HIV in 2017, with Maharashtra estimated to have the highest number. Of the 88 thousand annual new HIV infections estimated nationally in 2017, Telangana accounted for the largest share. HIV incidence was found to be higher among key population groups, especially people who inject drugs. The annual AIDS-related deaths were estimated to be 69 thousand nationally. For all indicators, geographic variation in levels and trends between States existed. Interpretation & conclusions: With a slow decline in annual new HIV infections by only 27 per cent from 2010 to 2017 against the national target of 75 per cent by 2020, the national target to end AIDS by 2030 may be missed; although at the sub-national level some States have made better progress to reduce new HIV infection. It calls for reinforcement of HIV prevention, diagnosis and treatment efforts by geographical regions and population groups.

Size Estimation of high-risk groups for hiv infection in india based on data from national integrated bio-behavioral surveillance and targeted interventions.

BACKGROUND: Targeted interventions (TIs) are one of the most effective strategies to control HIV/AIDS transmission, especially among the high-risk groups (HRGs). Implementation of HIV/AIDS control strategies relies heavily on estimation of the size of HRG population. Size estimation for key populations such as female sex workers (FSWs), men who have sex with men (MSM), and injecting drug users (IDUs) is a crucial component of national HIV strategic planning. OBJECTIVE: The objective of this study was to estimate the size of FSWs, MSM, and IDUs in various states of India. METHODS: The program multiplier method was used to estimate the size of FSWs, MSM, and IDUs across the country using two distinct but overlapping data sources - Integrated Bio-Behavioral Surveillance and TI program from the same geographical area at the same time period. RESULTS: In India, as on 2018-2019, there were nearly 18.2 lakhs estimated FSWs accounting to 0.53% among female population aged 15-49 years, with a highest in West Bengal (4.5 lakhs); 5.7 lakhs estimated MSM accounting to 0.16% among male population aged 15-49 years, with a highest in Gujarat (0.7 lakh); and 3.9 lakhs estimated IDUs accounting to 0.11% among male population aged 15-49 years, with a highest in Uttar Pradesh (0.5 lakh). CONCLUSIONS: The current size estimates on HRGs will support the development of projections and estimations of the HIV epidemic at national and state levels. These estimates also help in framing national guidelines such as HIV strategic planning, program design, allocation of resources, prioritizing the interventions, and monitoring and evaluation.

Aging of HIV epidemic in India: Insights from HIV estimation modeling under the national aids control programme.

People living with HIV are gradually getting older as a result of better survival with increased uptake of antiretroviral treatment in India. We aimed to quantify the aging HIV-infected population in India by undertaking a mathematical model analysis of 2017 rounds of HIV burden estimations under the National AIDS Control Programme. Our analysis projects that the mean age of HIV-infected people will increase from 38.4 years in 2005 to 45.5 years in 2025 with the proportion of HIV-infected people aged 50 years or older increasing from 19% in 2005 to 37% in 2025. This aging HIV epidemic is anticipated to lead to more non-AIDS morbidities, increased treatment complexity, and an inevitable need for multidisciplinary health-care services to ensure continued high-quality survival.

Ensuring childhood vaccination among slums dwellers under the National Immunization Program in India - Challenges and opportunities.

AIMS: Almost, one third of the world's urban population resides in slums and the number would double by 2030. Slums denotes collection of people from various communities having a meagre income and living in unhygienic conditions thus making themselves most vulnerable for outbreaks of communicable diseases. India contributes substantially to the global disease burden and under-five mortality rates i.e. 20% attributable to vaccine preventable diseases. Immunization plays a crucial role in combating high childhood mortality rates attributable to vaccine preventable diseases across the globe. This systematic review, provides insights on immunization status in slums, identifies various factors influencing it thus, exploring opportunities that may be available to improve vaccination coverage under the National Immunization Program. METHODS: Taking into account the above aspects, a review of literature was undertaken in various databases that included studies published between 2006 and 2017. RESULTS: In India, ~33% of the urban population lives in slums with suboptimal vaccination coverage ranging from 14% to upto 90%. Few of the important causes for low coverage included socioeconomic factors such as poor community participation, lack of awareness, frequent migration, and loss of daily income. Hence, mere presence of vaccines in the National Immunization Program doesn't do the job, there is a definite unmet need to emphasize upon the importance of immunization among slums dwellers and take necessary steps. For instance, delivering immunization services at the doorstep (e.g. pulse polio program), community-based education, text messaging as reminders and incentivized immunization services are some of the opportunities that can be explored and implemented to improve immunization status in the slums. CONCLUSION: Thus, in addition to inclusion of more and more vaccines in the National Immunization Program, there is a definite need to focus on people living in high risk areas in order to improve coverage and healthcare indicators.

Sustained progress, but no room for complacency: Results of 2015 HIV estimations in India.

BACKGROUND & OBJECTIVES: Evidence-based planning has been the cornerstone of India's response to HIV/AIDS. Here we describe the process, method and tools used for generating the 2015 HIV estimates and provide a summary of the main results. METHODS: Spectrum software supported by the UNAIDS was used to produce HIV estimates for India as a whole and its States/Union Territories. This tool takes into consideration the size and HIV prevalence of defined population groups and programme data to estimate HIV prevalence, incidence and mortality over time as well as treatment needs. RESULTS: India's national adult prevalence of HIV was 0.26 per cent in 2015. Of the 2.1 million people living with HIV/AIDS, the largest numbers were in Andhra Pradesh, Maharashtra and Karnataka. New HIV infections were an estimated 86,000 in 2015, reflecting a decline by around 32 per cent from 2007. The declining trend in incidence was mirrored in most States, though an increasing trend was detected in Assam, Chandigarh, Chhattisgarh, Gujarat, Sikkim, Tripura and Uttar Pradesh. AIDS-related deaths were estimated to be 67,600 in 2015, reflecting a 54 per cent decline from 2007. There were variations in the rate and trend of decline across India for this indicator also. INTERPRETATION & CONCLUSIONS: While key indicators measured through Spectrum modelling confirm success of the National AIDS Control Programme, there is no room for complacency as rising incidence trends in some geographical areas and population pockets remain the cause of concern. Progress achieved so far in responding to HIV/AIDS needs to be sustained to end the HIV epidemic.

Factors associated with utilization of antenatal care services among tribal women: A study of selected States.

BACKGROUND & OBJECTIVES: Despite various efforts by the Government of India, utilization of antenatal care (ANC) services continues to be low among women from rural areas particularly those belonging to the Scheduled Tribes. The present study was undertaken to examine the factors associated with the utilization of ANC services among women in four States including Rajasthan, Odisha, Chhattisgarh and Madhya Pradesh which constitute a good share of tribal population of the country. METHODS: Data from third round of District Level Household and Facility Survey, 2007-08 (DLHS-3) have been used. Bivariate and multivariate analyses (logistic regression model) were used to study the association between the utilization of ANC services and the independent variables at individual, household and village levels along with the motivational factors (motivation by health workers and family members). RESULTS: The utilization of ANC services among Scheduled Tribes women varied from about 4 per cent in Madhya Pradesh and Rajasthan to 10-14 per cent in Chhattisgarh and Odisha. Utilization was highest among those women with level of education 9th class and above (15-28%) and those women who visited health facility for pregnancy confirmation test (9-27%). Across the States, women who visited health facility for pregnancy testing (adjusted odds ratio, AOR = 1.5-2.5; P<0.001) except in Madhya Pradesh; registration of pregnancy (AOR = 2.1-4.5; P<0.01) and sought treatment of pregnancy related problems (AOR = 1.5-1.8; P<0.06) except in Rajasthan, were more likely to avail complete ANC services than their counterparts. INTERPRETATION & CONCLUSIONS: The utilization of antenatal care among Scheduled Tribe women across four States was very poor. The reasons behind non-utilisation include both socio-economic and health system factors. For improving ANC utilization among tribes, these factors need to be addressed with special emphasis on woman's educational attainment of high school and above. In addition, the study highlighted the need to create awareness among both pregnant tribal women as well as her family members on the importance of early ANC care.

Levels, trends & predictors of infant & child mortality among Scheduled Tribes in rural India.

BACKGROUND & OBJECTIVES: The level of infant and child mortality is high among Scheduled Tribes particularly those living in rural areas. This study examines levels, trends and socio-demographic factors associated with infant and child mortality among Scheduled Tribes in rural areas. METHODS: Data from the three rounds of the National Family Health Survey (NFHS) of India from 1992 to 2006 were analysed to assess the levels and trends of infant and child mortality. Univariate and multivariate Cox proportional hazard model were used to understand the socio-economic and demographic factors associated with mortality during 1992-2006. RESULTS: Significant change was observed in infant and child mortality over the time period from 1992-2006 among Scheduled Tribes in rural areas. After controlling for other factors, birth interval, household wealth, and region were found to be significantly associated with infant and child mortality. Hazard of infant mortality was highest among births to mothers aged 30 yr or more (HR=1.3, 95% CI=1.1-1.7) as compared with births to the mother's aged 20-29 yr. Hazard of under-five mortality was 42 per cent (95% CI=1.3-1.6) higher among four or more birth order compared with the first birth order. The risk of infant dying was higher among male children (HR = 1.2, 95% CI=1.1-1.4) than among female children while male children were at 30 per cent (HR=0.7, 95% CI=0.6-0.7) less hazard of child mortality than female children. Literate women were at 40 per cent (HR=0.6, 95% CI=0.50-0.76) less hazard of child death than illiterate women. INTERPRETATION & CONCLUSIONS: Mortality differentials by socio-demographic and economic factors were observed over the time period (1992-2006) among Scheduled Tribes (STs) in rural India. Findings support the need to focus on age at first birth and spacing between two births.

Effectiveness of targeted intervention program under the national AIDS control program among Hijra and transgender population: Evidence from Integrated Biological and Behavioral Surveillance, 2014-15.

INTRODUCTION: The hijra and transgender (H/TG) population in India is vulnerable to HIV/AIDS. India had instituted a targeted intervention (TI) program to reduce this vulnerability. We aimed to measure the effectiveness of the TI program for H/TG. MATERIALS AND METHODS: The National Integrated Behavioral and Biological Survey (IBBS) was carried out in 2014-15. H/TG data from IBBS was analyzed. Bivariate and multivariate logistic regression were used to calculate the unadjusted and adjusted odds ratios with 95% confidence interval. Condom use during the last sexual intercourse, and the consistent condom use in the last one month were considered as indicators of program effectiveness. The Propensity Score Matching (PSM) method was used to assess the effectiveness. RESULTS: We found that the participants who had received condoms from peer educator/outreach worker were 1.74 and 1.40 times more likely to use condoms in the last sexual intercourse (aOR: 1.74, CI: 1.35 - 2.26) and consistent condom use in the last one month (aOR: 1.40, CI: 1.12 - 1.74) respectively compared to the participants who did not receive the condom. The matched-samples estimate (i.e., average treatment effect on treated) for the condom use during the last sexual intercourse increased by 13.0%, i.e., 0.13 (CI; 0.08 - 0.18) and consistent condom use in the last one month increased by 5.0%, i.e., 0.05 (CI; 0.00 - 0.10) among those who had received condoms from the peer educator/outreach worker compared with those who had not received condom, respectively. CONCLUSIONS: The TI program intervention for H/TG was effective in reducing HIV risk behavior as evidenced by increase in use of condom during last sexual intercourse, and consistent condom use in the last one month.

Evaluation of a Hospitalized Pediatric COVID-19 Cohort from Indian National Clinical Registry of COVID-19.

OBJECTIVE: To evaluate the factors associated with mortality of a multicentric cohort of hospitalized COVID-19 patients, 0-18 y old, from 42 centers across India. METHODS: The National Clinical Registry for COVID-19 (NCRC) is an on-going prospective data collection platform enrolling COVID-19 patients diagnosed by real-time PCR or rapid antigen test. The data are collected in prestructured e-capture forms. The sociodemographic, clinical, laboratory, and hospital outcome data from 1st September 2020 to 20th February 2022 were analyzed. RESULTS: Of the 1244 enrolled hospitalized COVID-19 patients aged 0-18 y, 98 and 124 were infants and neonates, respectively. Only 68.6% children were symptomatic at admission, with fever being the most common symptom. Diarrhea, rash, and neurological symptoms were also noted. At least 1 comorbidity was present in 260 (21%) children. The in-hospital mortality rate was 6.2% (n = 67), the highest in infants (12.5%). Altered sensorium (aOR: 6.8, CI: 1.9, 24.6), WHO ordinal scale ≥ 4 at admission (aOR: 19.6, CI: 8.0, 47.8), and malignancy (aOR: 8.9, 95% CI: 2.4, 32.3) were associated with higher odds of death. Malnutrition did not affect the outcome. Mortality rates were similar across the three waves of the pandemic, though a significant shift towards the under-five group was observed in the third wave. CONCLUSION: This multicentric cohort of admitted Indian children showed that the COVID-19 was milder in children than adults, and the pattern was consistent across all waves of the pandemic.

Augmenting progress on the elimination of vertical transmissions of HIV in India: Insights from Spectrum-based HIV burden estimations.

The government of India has adopted the elimination of vertical transmission of HIV as one of the five high-level goals under phase V of the National AIDS and STD Control Programme (NACP). In this paper, we present the data from HIV estimations 2021 for India and select States detailing the progress as well as the attributable causes for vertical transmissions. The NACP spearheads work on mathematical modelling to estimate HIV burden based on the periodically conducted sentinel surveillance for guiding program implementation and policymaking. Using the results of the latest round of HIV Estimations in 2021, we analysed the mother-to-child transmission (MTCT) during the perinatal and postnatal (breastfeeding) period. In 2021, overall, around 5,000 [3,000-7,800] vertical transmissions were estimated nationally with 58% being perinatal infections and remaining during breastfeeding. MTCT at 6 weeks was around 12.95% [9.45-16.02] with the final transmission rate at 24.25% [18.50-29.50]. Overall, 57% of vertical transmissions were among HIV-positive mothers who did not receive ART during pregnancy or breastfeeding, 19% among mothers who dropped off ART during pregnancy or delivery, and 18% among mothers who were infected during pregnancy or breastfeeding. There were significant variations between States. Depending upon the States, the programme needs to focus on the intervention domains of timely engagement in antenatal care-HIV testing-ART initiation as well as programme retention and adherence support. Equally important would be strengthening the strategic information to generate related evidence for inputting India and State-specific parameters improving the MTCT-related modelled estimates.

Gender differences in COVID-19 knowledge, risk perception, and public stigma among the general community: Findings from a nationwide cross-sectional study in India.

Introduction: Individual and community characteristics predictive of knowledge, perception, and attitude on COVID-19, specifically on gender, have not been adequately explored. Objective: To examine the gender differences in COVID-19 knowledge, self-risk perception and public stigma among the general community and to understand other socio-demographic factors which were predictive of them. Method: A nationally representative cross-sectional multi-centric survey was conducted among adult individuals(≥18 yrs) from the community member (N = 1978) from six states and one union territory of India between August 2020 to February 2021. The participants were selected using systematic random sampling. The data were collected telephonically using pilot-tested structured questionnaires and were analyzed using STATA. Gender-segregated multivariable analysis was conducted to identify statistically significant predictors (p < 0.05) of COVID-19-related knowledge, risk perception, and public stigma in the community. Results: Study identified significant differences between males and females in their self-risk perception (22.0% & 18.2% respectively) and stigmatizing attitude (55.3% & 47.1% respectively). Highly educated males and females had higher odds of having COVID-19 knowledge (aOR: 16.83: p < 0.05) than illiterates. Highly educated women had higher odds of having self-risk perception (aOR: 2.6; p < 0.05) but lower public stigma [aOR: 0.57; p < 0.05]. Male rural residents had lower odds of having self-risk perception and knowledge [aOR: 0.55; p < 0.05 & aOR: 0.72; p < 0.05] and female rural residents had higher odds of having public stigma [aOR: 1.36; p < 0.05]. Conclusion: Our study findings suggest the importance of considering thegender differentials and their background, education status and residential status in designing effective interventions to improve knowledge and reduce risk perception and stigma in the community about COVID-19.