Determinants of substance use among young people attending primary health centers in India.

Background: Substance use is a complex condition with multidimensional determinants. The present study aims to find the prevalence and determinants of substance use among young people attending primary healthcare centers in India. Methods: A multicentric cross-sectional study was conducted across 15 states in India on 1,630 young people (10-24 years) attending primary health centers. The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was used to capture data on substance use. The degree of substance involvement was assessed and multivariate regression analysis was conducted to determine the risk factors of substance use. Results: The prevalence of substance use was 32.8%, with a median substance initiation age of 18 years. Among the substance users, 75.5% began before completing adolescence. Tobacco (26.4%), alcohol (26.1%) and cannabis (9.5%) were commonly consumed. Sociodemographic determinants included higher age, male gender, urban residence, positive family history, northeastern state residence and lower socioeconomic class. Over 80% of users had moderate or high involvement. Conclusions: High substance use prevalence among young people in Indian healthcare centers underscores the urgency of targeted intervention. Insights on determinants guide effective prevention strategies for this complex public health issue.

Neck circumference in polycystic ovary syndrome: a systematic review and bootstrapped meta-analysis with GRADE approach.

INTRODUCTION: Our aim was to perform a systematic review and meta-analysis for the association of neck circumference (NC) in polycystic ovary syndrome (PCOS) patients as compared to non-PCOS controls. METHODS: Primarily the PubMed/MEDLINE database, and others such as SCOPUS, Google Scholar, Cochrane Library, up to November 15, 2023 for observational studies comparing NC in PCOS versus non-PCOS women. The mean and SD values of NC and other covariates in PCOS and control groups were extracted by two independent reviewers, and the quality and risk of bias assessment was done using Newcastle-Ottawa Scale of the studies. The meta-analysis employed combined standardized mean differences (SMD) with 95% confidence intervals (CI) to compare NC between PCOS patients and controls. The heterogeneity and validity were addressed by sub-group, meta-regression, and sensitivity analyses. We conducted a Bootstrapped meta-analysis using 1000 and 10000 simulations to test the accuracy of the obtained results. The certainty of evidence was assessed by GRADE approach. RESULTS: Our meta-analysis included 9 observational studies. The PCOS patients showed a significantly higher NC values than the non-PCOS controls (SMD 0.66, 95% CI 0.41-0.91, p<0.0001). In the bootstrap meta-analysis, the accuracy of the observed findings was proved (SMD=0.66, CI=0.42 to 0.91) for the NC outcome. No publication bias was detected in the funnel plot analysis using Begg's and Egger's tests. The 95% prediction interval of 0.036 to 1.28, suggest that the true outcomes of the studies are generally in the same direction as the estimated average outcome. The sensitivity analysis provided the robustness of the outcome, and no single study was overly influential on the pooled estimate. CONCLUSION: This meta-analysis provides accurate evidence for significantly higher NC in PCOS as compared to non-PCOS controls. There is no sufficient evidence on the diagnostic accuracy measures for NC in PCOS. Hence, further research on its diagnostic utility in PCOS is needed.

Effectiveness of Stem Cell Therapy for Diabetic Foot Ulcers: A Systematic Review and GRADE Compliant Bootstrapped Meta-Analysis of Randomized Clinical Trials.

Diabetic foot (DF) represents a severe complication of diabetes mellitus, imposing substantial psychological and economic burdens on affected individuals. This investigation sought to assess the therapeutic efficacy of stem cell interventions in the management of DF complications. A comprehensive systematic search across PubMed, Embase, CINAHL, Scopus, and the Cochrane library databases was conducted to identify pertinent studies for meta-analysis. Outcome measures encompassed ulcer or wound healing rates, amputation rates, angiogenesis, ankle-brachial index (ABI), and pain-free walking distance. Dichotomous outcomes were expressed as risk differences (RDs) with 95% confidence intervals (CIs), while continuous data were articulated as standardized mean differences (SMDs) with corresponding 95% CIs. Statistical analyses were executed using RevMan 5.3 and Open Meta, with bootstrapped meta-analysis conducted through OpenMEE software. A total of 20 studies, comprising 24 arms and involving 1304 participants, were incorporated into the meta-analysis. The findings revealed that stem cell therapy exhibited superior efficacy compared to conventional interventions in terms of ulcer or wound healing rate [RD = 0.36 (0.28, 0.43)], pain-free walking distance [SMD = 1.27 (0.89, 1.65)], ABI [SMD = 0.61 (0.33, 0.88)], and new vessel development [RD = 0.48 (0.23, 0.78)], while concurrently reducing the amputation rate significantly [RD = -0.19 (-0.25, -0.12)]. Furthermore, no statistically significant difference in adverse events was observed [RD -0.07 (-0.16, 0.02)]. The Grading of Recommendations, Assessment, Development, and Evaluation assessment indicated varying levels of evidence certainty, ranging from very low to moderate, for different outcomes. Bootstrapping analysis substantiated the precision of the results. The meta-analysis underscores the significant superiority of stem cell therapy over conventional approaches in treating DF complications. Future investigations should prioritize large-scale, randomized, double-blind, placebo-controlled, multicenter trials, incorporating rigorous long-term follow-up protocols. These studies are essential for elucidating the optimal cell types and therapeutic parameters that contribute to the most effective treatment strategies for DF management.

Factors associated with stigma and manifestations experienced by Indian health care workers involved in COVID-19 management in India: A qualitative study.

Healthcare personnel who deal with COVID-19 experience stigma. There is a lack of national-level representative qualitative data to study COVID-19-related stigma among healthcare workers in India. The present study explores factors associated with stigma and manifestations experienced by Indian healthcare workers involved in COVID-19 management. We conducted in-depth interviews across 10 centres in India, which were analysed using NVivo software version 12. Thematic and sentiment analysis was performed to gain deep insights into the complex phenomenon by categorising the qualitative data into meaningful and related categories. Healthcare workers (HCW) usually addressed the stigma they encountered when doing their COVID duties under the superordinate theme of stigma. Among them, 77.42% said they had been stigmatised in some way. Analyses revealed seven interrelated themes surrounding stigma among healthcare workers. It can be seen that the majority of the stigma and coping sentiments fall into the mixed category, followed by the negative sentiment category. This study contributes to our understanding of stigma and discrimination in low- and middle-income settings. Our data show that the emergence of fear of the virus has quickly turned into a stigma against healthcare workers.

Developing Standard Treatment Workflows-way to universal healthcare in India.

Primary healthcare caters to nearly 70% of the population in India and provides treatment for approximately 80-90% of common conditions. To achieve universal health coverage (UHC), the Indian healthcare system is gearing up by initiating several schemes such as National Health Protection Scheme, Ayushman Bharat, Nutrition Supplementation Schemes, and Inderdhanush Schemes. The healthcare delivery system is facing challenges such as irrational use of medicines, over- and under-diagnosis, high out-of-pocket expenditure, lack of targeted attention to preventive and promotive health services, and poor referral mechanisms. Healthcare providers are unable to keep pace with the volume of growing new scientific evidence and rising healthcare costs as the literature is not published at the same pace. In addition, there is a lack of common standard treatment guidelines, workflows, and reference manuals from the Government of India. Indian Council of Medical Research in collaboration with the National Health Authority, Govt. of India, and the WHO India country office has developed Standard Treatment Workflows (STWs) with the objective to be utilized at various levels of healthcare starting from primary to tertiary level care. A systematic approach was adopted to formulate the STWs. An advisory committee was constituted for planning and oversight of the process. Specialty experts' group for each specialty comprised of clinicians working at government and private medical colleges and hospitals. The expert groups prioritized the topics through extensive literature searches and meeting with different stakeholders. Then, the contents of each STW were finalized in the form of single-pager infographics. These STWs were further reviewed by an editorial committee before publication. Presently, 125 STWs pertaining to 23 specialties have been developed. It needs to be ensured that STWs are implemented effectively at all levels and ensure quality healthcare at an affordable cost as part of UHC.

Landscape Analysis of Public Health Jobs in India to Develop an Evidence-Based Public Health Curriculum.

The increase in communicable and non-communicable disease incidence and prevalence, changing population demographics, along with concerns about pandemics, natural disasters, and wars, have highlighted the challenges faced by health systems. The study aims to identify data on publicly posted public health jobs available to applicants eligible to work in India to identify the public health and allied fields workforce needs, skills, and expertise in India. A cross-sectional study was done in June-July 2021. The data was collected from eleven common job portals in India. Descriptive and content analysis was done to identify the most common job titles, educational level preferred/desired, skills, and experience required in the public health jobs in India. In total 382 unique public health and related fields jobs were analyzed. Job postings were most commonly classified as manager (n = 68), officer/lead (n = 61), analyst (n = 49), and consultant (n = 44). Around one-fifth of the jobs were based in Delhi (n = 98, 24%). About a quarter of the job postings required more than 8 years of experience (26%, n = 100). More than half of the job postings mentioned having the knowledge and understanding of data analysis and statistical approaches (n = 116, 64%). Around 15% (n = 193) of the job posting wanted the candidate to have expertise in communication. Skills were classified into various types such as software, technical, and language. Timely assessment of the curriculum should be done to impart skills related to the needs of the employers and prepare a skilled and competent public health workforce to address the 21st century public health challenges.

The current state of public health education in India: A scoping review.

With the creation of public health management cadre in the state, district, and block levels of India, there is a need for a comprehensive, synergistic education system to ensure efficient public health across the country. This scoping review, therefore, aims to examine the characteristics of public health education programs available in India's varied geographical and regional contexts. It examines 16 program-related descriptors across public health Doctoral, Masters, Bachelors, Post-graduate Diploma, and Diploma education programs offered. Data was retrieved through institutional websites. Results of our analysis showed 84 unique institutions in 20 states and 3 UTs currently offering 116 public health programs across India's 28 states and 8 UTs. Private and public institutes were 65% (n = 75) and 35% (n = 41) respectfully. The majority of universities mainly provided Masters of Public Health (n = 73, 63%) programs followed by Postgraduate Diploma (PGD) and Diploma (n = 17, 15%), BPHSc (n = 14, 12%), and Ph.D. (n = 12, 10%). The majority of Ph.D. programs in public health are offered in Maharashtra, Karnataka, and Haryana, while Masters in Public Health programs are offered highest in Karnataka, Bachelors in Public Health programs in Rajasthan, Post Graduate Diploma in Public Health program in Delhi, and Tamil Nadu had the most number of Diploma in Public Health programs. Thirty-one percent (n = 36) of the public health programs are offered across the south, 28% (n = 32) across the north, and 22% (n = 26) across the west Analyzed descriptors provide comprehensive information on program characteristics, mainly admission, format, and tuition fee. The review offers five suggestions to improve collaborative public health education and prepare a workforce with the skills, knowledge, and expertise to respond to the twentyfirst century's public health threats and challenges in India.

Urban-rural disparities in blood pressure and lifestyle risk factors of hypertension among Indian individuals.

Objectives: This study aims to assess the urban-rural difference in prevalence of hypertension (HT) and to explore the disparities in lifestyle risk factors of HT among urban and rural individuals aged 15-49 years in India. Study Design: The cross-sectional data collected as a part of the fourth round of National Family Health Survey (NFHS-4) was analysed in this observational study. NFHS-4 was conducted between January 2015 and December 2016 amongst men aged 15-54 years and women aged 15-49 years. In order to maintain uniformity, age group of 15-49 years was considered. Descriptive analyses were performed for sociodemographic and lifestyle factors. Binary logistic regression was conducted to assess the predictors of HT in men and women in urban and rural settings. The presence of HT was considered as the outcome variable. Results: The overall age adjusted prevalence of HT was 17.2% and was greater in urban (18.3%) than in rural population (15.5%). The age adjusted prevalence was also higher in males (18.2%) as compared to females (16.1%). Age and wealth were associated with HT in both urban and rural population. Education and dietary habits played a role in all except rural men. Alcohol consumption, diabetic status and marital status were significantly associated with HT in both urban and rural women. Occupation was associated with HT only in urban women. Conclusions: The study has shown higher HT prevalence in urban areas despite higher prevalence of lifestyle risk factors in rural settings. This calls for more robust screening and health education in the entire population, especially in rural areas.

Prevalence and associated factors for awareness of hypertension in India: Findings from national survey-4.

Background: Despite the fact that hypertension is increasing, merely 50% are aware of the disease. Being aware of hypertension is important to control it. Aim: The study's objective was to estimate the level of hypertension awareness in India and explore its associated sociodemographic factors. Materials and Methods: The data collected in National Family Health Survey 4 (2015-2016) among men aged 15-54 years and women aged 15-49 years were analyzed. Taking awareness of hypertension as an outcome variable, descriptive analysis, and multivariable logistic regression model were performed, by gender. Results: Of 1,41,215 hypertensive individuals analyzed, 34.7% of men and 53.6% of women were aware of being hypertensive. The control among those aware was 67.1% in men and 74.6% in women. The awareness varied among states ranging from 29.6% in Chhattisgarh to 75.6% in Tamil Nadu. The multivariable logistic regression model explained the awareness of hypertension in males increased with age (odds ratios [OR]: 0.226 for 95% confidence interval [CI]: 0.139-0.366 for 25-29 years of age increased to 0.599 for 95% CI: 0.48-0.74 for 40-44 years of age), education (OR of 0.66 for 95% CI: 0.51-0.85 for primary increased to 0.69 for 95% CI: 0.54-0.89 for secondary school level), and wealth status (OR of 0.407 for 95% CI: 0.309-0.535 for poor wealth quintile increased to 1.030 for 95% CI: 0.863-1.230 for the richest wealth quintile). For women, the awareness increased with age (OR of 0.306 for 95% CI: 0.119- 0.791 for the age of 20-24 years increased to 0.736 for 95% CI: 0.570-0.951 for the age of 45-49 years) and wealth status (OR of 0.28 for 95% CI: 0.18-0.44 for poor wealth quintile increased to 1.262 for 95% CI: 0.859-1.855 for the richest wealth quintile). Conclusion: Improving access to hypertension screening and awareness especially among men, with lower wealth and younger age is needed.

ICMR task force project- survey of the incidence, mortality, morbidity and socio-economic burden of snakebite in India: A study protocol.

BACKGROUND: Snakebite is possibly the most neglected of the NTDs (Neglected Tropical Diseases). Half of the global deaths due to venomous snakebites, estimated at 100,000 per year, occur in India. The only representative data on snakebite available from India is the mortality data from the RGI-MDS study (Registrar General of India- 1 Million Death Study) and another study on mortality from the state of Bihar. Incidence data on snakebite is available for 2 districts of the state of West Bengal only. Hospital-based data on snakebite admissions and use of ASV are gross underestimates as most snakebite victims in rural India depend more on alternate treatment methods which do not get represented in National registries. The proposed study is a multi-centric study to determine the incidence, morbidity, mortality and economic burden of snakebites in India covering all 5 geographical zones of the country. PROTOCOL: A community level surveillance for snakebite covering 31 districts in 13 states of India in order to obtain annual incidence of snakebites from the community. Frontline health workers will be trained to gather information on new cases of snakebite over the study period of 1-year, from "wards "(smallest administrative subunit of a village or town) that they represent in the study districts. Dedicated field officers would collect data on snakebites, victim characteristics, outcomes, utilization of health facilities on a questionnaire sheet designed for this purpose. The study duration is for 18 months from April 2022 to October 2023. DISCUSSION: The study would be the first of its kind in India looking prospectively at the incidence of snakebite covering 13 states in 5 zones of India and a population of 84 million. Our study covers 6.12% of the total population of the country as compared to the incidence study conducted in Sri Lanka which covered 1% of the total population.

Psychological distress and burnout among healthcare worker during COVID-19 pandemic in India-A cross-sectional study.

BACKGROUND: COVID-19 has inundated the entire world disrupting the lives of millions of people. The pandemic has stressed the healthcare system of India impacting the psychological status and functioning of health care workers. The aim of this study is to determine the burnout levels and factors associated with the risk of psychological distress among healthcare workers (HCW) engaged in the management of COVID 19 in India. METHODS: A cross-sectional study was conducted from 1 September 2020 to 30 November 2020 by telephonic interviews using a web-based Google form. Health facilities and community centres from 12 cities located in 10 states were selected for data collection. Data on socio-demographic and occupation-related variables like age, sex, type of family, income, type of occupation, hours of work and income were obtained was obtained from 967 participants, including doctors, nurses, ambulance drivers, emergency response teams, lab personnel, and others directly involved in COVID 19 patient care. Levels of psychological distress was assessed by the General health Questionnaire -GHQ-5 and levels of burnout was assessed using the ICMR-NIOH Burnout questionnaire. Multivariable logistic regression analysis was performed to identify factors associated with the risk of psychological distress. The third quartile values of the three subscales of burnout viz EE, DP and PA were used to identify burnout profiles of the healthcare workers. RESULTS: Overall, 52.9% of the participants had the risk of psychological distress that needed further evaluation. Risk of psychological distress was significantly associated with longer hours of work (≥ 8 hours a day) (AOR = 2.38, 95% CI(1.66-3.41), income≥20000(AOR = 1.74, 95% CI, (1.16-2.6); screening of COVID-19 patients (AOR = 1.63 95% CI (1.09-2.46), contact tracing (AOR = 2.05, 95% CI (1.1-3.81), High Emotional exhaustion score (EE ≥16) (AOR = 4.41 95% CI (3.14-6.28) and High Depersonalisation score (DP≥7) (AOR = 1.79, 95% CI (1.28-2.51)). About 4.7% of the HCWs were overextended (EE>18); 6.5% were disengaged (DP>8) and 9.7% HCWs were showing signs of burnout (high on all three dimensions). CONCLUSION: The study has identified key factors that could have been likely triggers for psychological distress among healthcare workers who were engaged in management of COVID cases in India. The study also demonstrates the use of GHQ-5 and ICMR-NIOH Burnout questionnaire as important tools to identify persons at risk of psychological distress and occurrence of burnout symptoms respectively. The findings provide useful guide to planning interventions to mitigate mental health problems among HCW in future epidemic/pandemic scenarios in the country.

Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study.

BACKGROUND: Human-centered dietary decision support systems are fundamental to diabetes management, and they address the limitations of existing diet management systems. OBJECTIVE: The objective of the proposed study is to evaluate the use of an interactive, telephone-linked, personalized, human-centered decision support system for facilitating the delivery of personalized nutrition care for patients with diabetes. METHODS: A quasi-experimental trial was conducted between the period of June and December 2018. Study participants were recruited from Community Health Center, Dharamshala, Kangra (urban population), and Model Rural Health Unit, Haroli Block, Una (rural population). Eligible participants included adults aged ≥30 years with controlled or uncontrolled diabetes, those who agreed to participate in the study, those who were available for follow-up interviews, and those with a telephone or computer at home. Diabetic status was determined via a physician's diagnosis. Individuals with mental or physical challenges that affected their ability to use an electronic diet record, those who were not available for a telephone follow-up, and those who were involved in other protocols related to dietary assessments were excluded. The study participants were randomized into the following two groups: the intervention group (telephone-linked dietary decision support system) and the control group (paper-based diet record). Study participants in the intervention group recorded their daily dietary intake by using a telephone-linked, personalized, human-centered dietary decision support system and received personalized feedback and diet education via SMS text messaging. Study participants in the control group were provided with only a paper-based diet record for documenting their daily dietary intake. Follow-up visits were conducted at 3 and 6 months from the baseline in both groups. Differences in diabetes knowledge, attitudes, and practices will be measured across groups. RESULTS: The collection of baseline data from 800 study participants in both the intervention (n=400) and control groups (n=400), which were stratified by urban (control group: n=200; intervention group: n=200) and rural settings (control group: n=200; intervention group: n=200), has been completed. Follow-up data collection for months 3 and 6 is ongoing and is expected to be completed by October 2019. CONCLUSIONS: We anticipate that the intervention group will show significant changes in nutrition knowledge, attitudes, and practices; satisfaction with care; and overall diabetes management. We also expect to see urban-rural differences across the groups. The uniqueness of our nutrient data capture process is demonstrated by its cultural and contextually relevant features-diet capture in both English and Hindi, diet conversion into caloric components, sustained diet data collection and participant adherence through telephone-linked care, and auto-generated reminders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/13635.

Effect of in utero exposure to SARS-CoV-2 infection on pregnancy outcomes and growth and development of infants: protocol for a multicentre ambispective cohort study in India.

INTRODUCTION: Poor pregnancy and neonatal outcomes in infants born to COVID-19 positive mothers have been reported, but there is insufficient evidence regarding subsequent growth and development of these children. Our study aims to explore the effect of in-utero exposure to SARS-CoV-2 on pregnancy outcomes and growth and development of infants. METHODS AND ANALYSIS: A multicentric ambispective cohort study with comparison group (1:1) will be conducted at six sites. A total of 2400 participants (exposure cohort, n=1200; comparison cohort, n=1200), ie, 400 participants from each site (200 retrospectively; 200 prospectively) will be included. Exposure cohort will be infants born to women with documented COVID-19 infection anytime during pregnancy and comparison cohort will be infants born to women who did not test positive for SARS-CoV-2 anytime during pregnancy. All infants will be followed up till 1 year of age. Anthropometric measurement, age of attainment of developmental milestones and clinical examination findings will be recorded at each follow-up. Data regarding possible cofactors affecting the outcomes will be collected from both groups and adjusted for during analysis. The two groups will be compared for prevalence of every variable considered in the study. Relative risk, attributable and population attributable risks will be calculated. All risk factors with p<0.1 on bivariate analysis will be subjected to multiple logistic regression analysis. A final multivariable model will be developed by including the statistically significant risk factors. ETHICS AND DISSEMINATION: The study has been approved by the Institutional Review Board of IIHMR Delhi (IRB/2021-2022/006) and will be required to be approved at all participating study sites. The study is scheduled from September 2021 to August 2023. Data from retrospective cohort will be reported by August 2022. All participants will provide written informed consent. We plan to publish our results in a peer-reviewed journal and present findings at academic conferences.

Psychosocial impact of COVID-19 pandemic on healthcare workers in India & their perceptions on the way forward - A qualitative study.

Background & objectives: The healthcare system across the world has been overburdened due to the COVID-19 pandemic impacting healthcare workers (HCWs) in different ways. The present study provides an insight into the psychosocial challenges faced by the HCWs related to their work, family and personal well-being and the associated stigmas. Additionally, the coping mechanisms adopted by them and their perceptions on the interventions to address these challenges were also explored. Methods: A qualitative study was conducted between September and December 2020 through in-depth telephonic interviews using an interview guide among 111 HCWs who were involved in COVID-19 management across 10 States in India. Results: HCWs report major changes in work-life environment that included excessive workload with erratic timings accentuated with the extended duration of inconvenient personal protection equipment usage, periods of quarantine and long durations of separation from family. Family-related issues were manifold; the main challenge being separated from family, the challenge of caregiving, especially for females with infants and children, and fears around infecting family. Stigma from the community and peers fuelled by the fear of infection was manifested through avoidance and rejection. Coping strategies included peer, family support and the positive experiences manifested as appreciation and recognition for their contribution during the pandemic. Interpretation & conclusions: The study demonstrates the psychological burden of HCWs engaged with COVID-19 care services. The study findings point to need-based psychosocial interventions at the organizational, societal and individual levels. This includes a conducive working environment involving periodic evaluation of the HCW problems, rotation of workforce by engaging more staff, debunking of false information, community and HCW involvement in COVID sensitization to allay fears and prevent stigma associated with COVID-19 infection/transmission and finally need-based psychological support for them and their families.

Predictors of COVID-19 Vaccine Acceptance, Intention, and Hesitancy: A Scoping Review.

COVID-19 vaccine is regarded as the most promising means of limiting the spread of or eliminating the pandemic. The success of this strategy will rely on the rate of vaccine acceptance globally. The study aims to examine the factors that influence COVID-19 vaccine acceptance, intention, and hesitancy. PubMed was searched comprehensively for articles using the keyword "COVID-19 vaccine surveys." Of the 192 records, 22 studies were eligible for the review. Eighty-two percent of these studies were conducted among the general population. Gender, age, education, and occupation were some of the socio-demographic variables associated with vaccine acceptance. Variables such as trust in authorities, risk perception of COVID-19 infection, vaccine efficacy, current or previous influenza vaccination, and vaccine safety affected vaccine acceptance. Globally, in March 2020, the average vaccine acceptance observed was 86% which dropped to 54% in July 2020 which later increased to 72% in September 2020. Globally, the average rate of vaccine hesitancy in April 2020 was 21%, which increased to 36% in July 2020 and later declined to 16% in October 2020. Large variability in vaccine acceptance and high vaccine hesitancy can influence the efforts to eliminate the COVID-19. Addressing the barriers and facilitators of vaccines will be crucial in implementing effective and tailored interventions to attain maximum vaccine coverage.

Need and Importance of Nutrition Informatics in India: A Perspective.

Nutrition informatics (NI) is the effective retrieval, organization, storage, and optimum use of information, data and knowledge for food-and-nutrition-related problem-solving and decision-making. There is a growing opportunity to facilitate technology-enabled behavioral change interventions to support NI research and practice. This paper highlights the changing landscape of food and nutrition practices in India to prepare a NI workforce that could provide some valuable tools to address the double burden of nutrition. Management and interpretation of data could help clarify the relationships and interrelationships of diet and disease in India on both national and regional levels. Individuals with expertise in food and nutrition may receive training in informatics to develop national informatics systems. NI professionals develop tools and techniques, manage various projects and conduct informatics research. These professionals should be well prepared to work in technological settings and communicate data and information effectively. Opportunities for training in NI are very limited in developing countries. Given the current progress in developing platforms and informatics infrastructure, India could serve as an example to other countries to promote NI to support achieving SDGs and other public health initiatives.

Examine the impact of COVID-19 Vaccine Communication, Acceptance and Practice (CO-VIN-CAP) on Vaccine hesitancy in an Indian setting: Protocol for a Cross-Sectional Study.

BACKGROUND: COVID-19 vaccine is considered to be a key to limiting and eliminating infectious disease. But, the success of the vaccination program will rely on the rates of vaccine acceptance among the population. OBJECTIVE: The objective of this study is to examine the factors that influence vaccine hesitancy and vaccine acceptance and to explore the unintended consequences of COVID-19 infections. The study will further explore the association between socio-demographic characteristics, health status, COVID-19 related knowledge, attitude, practice, and its influence on Vaccine hesitancy and acceptance among individuals living in urban and rural settings of Chennai, Tamil Nadu in the Southern state of India. METHODS: A cross-sectional study will be conducted between January 2021 and January 2023. A sample of approximately 25,000 individuals will be recruited and enrolled using a non-probability complete enumeration sampling method from eleven selected urban and rural settings of Chennai. The data will be collected at a one-time point by administering the questionnaire to the eligible study participants. The collected data will be used to assess the rates of vaccine acceptance, hesitancy as well as knowledge, attitudes, practices, and beliefs regarding COVID-19 and COVID-19 vaccine. Lastly, the study questionnaire will be used to assess the unintended consequences of COVID-19 infection. RESULTS: A pilot of 2500 individuals has been conducted to pre-test the self-administered study questionnaire. The data collection initiated on March 1, 2021 and the initial results are planned for publication by June 2021. Descriptive analysis of the gathered data will be performed using Statistical Analysis System (SAS) v9.1 and reporting of the results will be done at 95% confidence interval and P=.049. The study will help explore the burden of vaccine acceptance and hesitancy among individuals living in urban and rural settings of Chennai. Further, it will help to examine the variables that influence vaccine acceptance and hesitancy. Lastly, the result findings will help to design and develop a user-centered informatics platform that can deliver multimedia-driven health educational modules tailored to facilitate vaccine uptake in varied settings. CONCLUSIONS: The proposed study will help in understanding the rate and determinants of COVID-19 vaccine acceptance and hesitancy among the population of Chennai. The findings of the study would further facilitate the development of a multifaceted intervention to enhance vaccine acceptance among the population.

Tracking COVID-19 burden in India: A review using SMAART RAPID tracker.

OBJECTIVE: India has seen a rapid rise in COVID-19 cases. Examine spatiotemporal variation of COVID-19 burden Tracker across Indian states and union territories using SMAART RAPID Tracker. METHOD: We used SMAART RAPID Tracker to visually display COVID-19 spread in space and time across various states and UTs of India. Data gathered from publicly available government information sources. Data analysis on COVID-19 conducted from March 1 2020 to October 1 2020. Variables recorded include COVID-19 cases and fatality, 7-day average change, recovery rate, labs and tests. Spatial and temporal trends of COVID-19 spread across Indian states and UTs is presented. RESULT: The total number of COVID-19 cases were 63, 12,584 and total fatality was 86,821 (October 1 2020). More than 85,000 new cases of COVID-19 were reported. There were 1,867 total COVID-19 labs throughout India. More than half of them were Government labs. The total number of COVID-19 tests was 76,717,728 and total recovered COVID-19 cases was 5,273,201. Results show an overall decline in the 7-day average change of new COVID-19 cases and new COVID-19 fatality. States such as Maharashtra, Chandigarh, Puducherry, Goa, Karnataka and Andhra Pradesh continue to have high COVID-19 infectivity rate. DISCUSSION: Findings highlight need for both national guidelines combined with state specific recommendations to help manage the spread of COVD-19. CONCLUSION: The heterogeneity represented in India in terms of its geography and various population groups highlight the need of state specific approach to monitor and combat the ongoing pandemic. This would further facilitate the tailored approach for each state to mitigate and contain the spread of the disease.

India's COVID-19 Burdens, 2020.

The purpose of this article is two pronged; first, to identify and report public health implications of the ongoing coronavirus (COVID-19) pandemic, and second, to report challenges uniquely faced by the citizens of India from a population health perspective. We have done both while closely examining epidemiological data that is accessible via SMAART's RAPID Tracker. This policy informatics platform is a live database aimed to track the geospatial spread of the COVID-19 outbreak and policy actions globally and is administered collaboratively by CUNY's Graduate School of Public Health and Health Policy and a global, non-profit public health incubator. Infectivity, incidence, and recovery rates were computed and graphical representations of epidemiological datasets were studied. We have discussed a plausible conceptual framework based on the principles of population health informatics for countries with similar characteristics to build a stronger public and community health foundation in order to safeguard populations during a health emergency in the future.

Role of glial fibrillary acidic protein as a biomarker in differentiating intracerebral haemorrhage from ischaemic stroke and stroke mimics: a meta-analysis.

Background: Studies have suggested promising evidence that glial fibrillary acidic protein (GFAP) could be used as a blood biomarker to distinguish between ischaemic stroke (IS) and intracerebral haemorrhage (ICH) in acute stage.Objective: To determine the available evidence for GFAP as a blood biomarker for differentiating ICH from IS and stroke mimics using a meta-analysis approach.Methods: Search terms were used for literature search: ("STROKE" [Mesh] OR "BIOMARKER" [Title/Abstract] OR "GFAP" [Title/Abstract])] OR "SPECIFICITY" OR "SENSTIVITY" at various search engines like PubMed, Google scholar, Trip database, clinicaltrial.gov for articles from 1990 to April 2019 using filter 'human subjects'. Data were analysed using software STATA version 13.Results: A pooled analysis including 12 studies suggested that GFAP if used as a biomarker to differentiate between different types of strokes (ICH from IS and mimics) had a sensitivity of 78% (95% CI: 67-86%) and a specificity of 95% (95% CI: 88-98%). Positive likelihood ratio (LR) was 14.4 and negative LR was 0.23. SROC with prediction and confidence contours suggests promising area under the curve 0.93, 95% CI ranges from 0.90 to 0.95. Diagnostic odds ratio with 95% CI was observed 63 (31-125).Conclusion: Our meta-analysis suggests that GFAP has a promising diagnostic accuracy for the differentiation of ICH from IS and mimics. Further, phase II and phase III diagnostic test studies are required to validate the findings before using GFAP as a blood based biomarker for clinical use. Trial Registration: This study was registered in OSF registries 10.17605/OSF.IO/B9JP4.