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Backround: Information about the chikungunya disease burden by age groups and geographic distribution is necessary to guide appropriate control measures. With this, we conducted a systematic review and meta-analysis to estimate the disease burden of chikungunya fever in India. Material and Methods: We conducted this systematic review according to the Cochrane Collaboration guidelines. We retrieved relevant articles from PubMed and a free online search. Two investigators screened titles and abstracts and extracted data from the relevant articles. Our primary outcome is the proportion of laboratory-confirmed Chikungunya fever among clinically suspected patients. We used a random effect model to estimate the pooled proportion of Chikungunya fever. Result: A total of 20 articles were included in the quantitative syntheses. The pooled proportion of laboratory-confirmed chikungunya fever from 20 studies estimated using the random effects model is 24% (95%CI: 15-34%). We found the pooled proportion in the southern region was 35% (95%CI: 4-66%), 28% (95%CI: 3-58%) in the western region, 24% (95%CI: 1-48%) in the eastern region, 20% (95%CI: 12-29%) in the northern region, and 4% (95%CI: 1-6%) in North-eastern region. Conclusion: This review emphasizes the need to strengthen the surveillance of disease burden using multiple diagnostic tests and the need for an appropriate molecular diagnostic for early detection of the chikungunya virus.

Background Hypertension affects 28.5% of Indians aged 18–69. Real-time registration and follow-up of persons with hypertension are possible with point-of-care digital information systems. We intend to describe herein the experiences of discovering, developing, and deploying a point-of-care digital information system for public health facilities under the India Hypertension Control Initiative. Methods We have adopted an agile and user-centered approach in each phase in selected states of India since 2017. A multidisciplinary team adopted a hybrid approach with quantitative and qualitative methods, such as contextual inquiries, usability testing, and semi-structured interviews with healthcare workers, to document and monitor utility and usability. Results During the discovery phase, we adopted a storyboard technique to understand the requirement of a digital information system. The participatory approach in discovery phase co-designed the information system with the nurses and doctors at Punjab state of India. Simple, which is the developed information system, has a front-end Android mobile application for healthcare workers and a backend dashboard for program managers. As of October 2022, over 24,31,962 patients of hypertension and 8,99,829 diabetes were registered in the information system of 10,017 health facilities. The median duration of registering a new patient was 50 seconds, and for recording a follow-up visit was 14 seconds in the app. High satisfaction was reported in 100 app users’ quarterly interviews. Conclusion Simple was implemented by administering a user-centered approach and agile techniques. It demonstrated high utility and usability among users, highlighting the benefits of a user-centered approach for effective digital health solutions.

Background: Appropriate health-seeking behaviour could help in reducing child mortality and morbidity. Information on social factors of mortality and health-seeking behaviours of caregivers of under-5 children from slums of Indian cities is minimal in literature. Objectives: We estimated the prevalence of health-seeking behaviour for morbidity ofunder-5 children and its determinants in urban slums in Chennai city, India. Methods: A cross-sectional study was conducted using a mixed-method design among primary caregivers of under-5 children living in Chennai slums, India. Two-stage cluster sampling was adopted to select 40 slums. A total of 233 primary caregivers were interviewed. Nine focus group discussions and 18 in-depth interviews were conducted among the primary caregivers. Prevalence of inappropriate health-seeking behaviour was estimated, and determinants were identified by multivariate binary logistic regression analysis. Thematic analysis was done on qualitative data. Results: We interviewed 233 primary caregivers. The weighted prevalence of inappropriate health-seeking behaviour for under-five children in urban slums of Chennai was 53.9% (95% CI: 46.9 – 60.8). Primary caregivers educated above secondary school were more likely (AOR of 2.3, 95% CI: 1.3–4.1) to follow inappropriate health-seeking behaviour compared to those educated below. Similarly, caregivers who were unaware of young child feeding practices (AOR of 3.6, 95% CI: 1.9–6.5) and early care-seeking and health practices (AOR of 2.5, 95% CI: 1.3–4.9) were more likely to engage in inappropriate health-seeking behaviour compared to those who were aware and we found that illness symptoms influenced health-seeking behaviour and that early disease detection might prevent severe illness. Conclusion: Health-seeking behaviour was found to be suboptimal among under-5 children in Chennai's urban slums. We suggest policymakers improve interventions on early care-seeking of common childhood illnesses in the urban health programme.

IntroductionThe Government of Tamil Nadu, India, mandated wearing face masks in public places to combat the COVID-19 pandemic. We established face mask surveillance and estimated the prevalence of appropriate mask use (covering the nose, mouth, and chin) in the slums and non-slums of Chennai at different time points in 2021.MethodsWe conducted three serial cross-sectional surveys in the outdoors and indoors of Chennai in March, July, and October 2021. We observed the mask wearing among 3200 individuals in the outdoors and 1280 in the indoors. We divided the outdoor and indoor locations into slums and non-slums. In October 2021, we also surveyed 150 individuals from each of the 11 shopping malls in the city. We calculated the proportions and 95% confidence interval (95%CI) for the appropriate mask use in the outdoor, indoor, and malls by age, gender, region, and setting (slum and non-slum).ResultsWe observed 3200 individuals in the outdoor and 1280 individuals in the indoor setting, each from a slum and non-slum, during the three rounds of the study. In outdoor and indoors, males comprised three-fourths and middle-aged individuals were half the study population. Mask compliance changed significantly with time (p-value ConclusionThe mask compliance in Chennai outdoors during the COVID-19 pandemic was less than 50%, with variations across time points by gender, age groups, and geographical locations. We must develop more effective communication strategies for older age groups and crowded indoor settings.

India experienced a surge in COVID-19 cases during the second wave in the period of April-June 2021. A rapid rise in cases posed challenges to triaging patients in hospital settings. Chennai, the fourth largest metropolitan city in India with an 8 million population, reported 7564 COVID-19 cases on May 12, 2021, nearly 3 times higher than the number of cases in the peak of COVID-19 in 2020. A sudden surge of cases overwhelmed the health system. We had established standalone triage centers outside the hospitals in the first wave, which catered to up to 2500 patients per day. In addition, we implemented a home-based triage protocol from May 26, 2021, to evaluate patients with COVID-19 who were aged ≤45 years without comorbidities. Among the 27,816 reported cases between May 26 and June 24, 2021, a total of 16,022 (57.6%) were aged ≤45 years without comorbidities. The field teams triaged 15,334 (55.1%), and 10,917 (39.2%) patients were evaluated at triage centers. Among 27,816 cases, 19,219 (69.1%) were advised to self-isolate at home, 3290 (11.8%) were admitted to COVID-19 care centers, and 1714 (6.2%) were admitted to hospitals. Only 3513 (12.7%) patients opted for the facility of their choice. We implemented a scalable triage strategy covering nearly 90% of the patients in a large metropolitan city during the COVID-19 surge. The process enabled early referral of high-risk patients and ensured evidence-informed treatment. We believe that the out-of-hospital triage strategy can be rapidly implemented in low-resource settings.

Background: Hypertension treatment coverage is low in India. A stepwise simple treatment protocol is one of the strategies to improve hypertension treatment in primary care. We estimated the effectiveness of various protocol steps to achieve blood pressure (BP) control in public sector health facilities in Punjab and Maharashtra, India, where the India Hypertension Control Initiative (IHCI) was implemented. Methods: We analyzed the records of people enrolled for hypertension treatment and follow-up under IHCI between January 2018 and December 2021 in public sector primary and secondary care facilities across 23 districts from two states. Each state followed a different treatment protocol. We calculated the proportion with controlled BP at each step of the protocol. We also estimated the mean decline in BP pre- and post-treatment. Results: Of 281,209 patients initiated on amlodipine 5 mg, 159,292 continued on protocol drugs and came for a follow-up visit during the first quarter of 2022. Of 33,450 individuals who came for the follow-up in Punjab and 125,842 in Maharashtra, 70% and 76% had controlled BP, respectively, at the first step with amlodipine 5 mg. In Punjab, at the second step with amlodipine 10 mg, the cumulative BP control increased to 75%. A similar 5% (76%–81%) increase was seen in the second step after adding telmisartan 40 mg in Maharashtra. Overall, the mean (SD) systolic blood pressure (SBP) decreased by 16 mmHg from 148 (15) mmHg at the baseline in Punjab. In Maharashtra, the decline in the mean (SD) SBP was about 15 mmHg from the 144 (18) mmHg baseline. Conclusion: Simple drug- and dose-specific protocols helped achieve a high control rate among patients retained in care under program conditions. We recommend treatment protocols starting with a single low-cost drug and escalating with the same or another antihypertensive drug depending on the cost and availability.

Abstract Background In view of the growing popularity, reach and access for Massive Open Online Courses (MOOCs), India’s apex body for medical education, the National Medical Commission (NMC) mandated uniform foundational course on research methods for the medical post graduates (PGs) and faculty members of the medical institutions under NMC as MOOC. This course is a pioneering effort in the field of India’s PG medical education. NMC entrusted Indian Council of Medical Research (ICMR)-National Institute of Epidemiology (NIE) to design and offer the MOOC, named as Basic Course in Biomedical Research (BCBR). We describe the experience of designing and that of implementation challenges in the inaugural cycle of the course. Methods The course objective was to inculcate the fundamental concepts in research methods covering epidemiology and biostatistics in the form of video lectures, resource materials, discussion forum, assignments, feedback and a final proctored examination. The course was delivered over 16 weeks through MOOCs platform under the Indian Ministry of Education. We reviewed records, documents and faculty notes and described the course conceptualization, development, design and implementation process. We abstracted information from course portal on enrolment profile of the participants, self-reported course feedback (structured and open-ended on format, lectures and quality of contents), examination registration form, scores obtained in the assignments/examination and that of the participant queries. We described quantitative data using descriptive statistics. We presented the thematic analysis of qualitative data from open-ended questions in the feedback system and that of email interactions. Results The inaugural cycle (September-December 2019) was taken by 24,385 participants. Majority, 15,879 (65%) were from medical background. 13,242 (54%) were medical postgraduates and 2637 (11%) were medical teachers. Among the enrolled, 14,720 (60%) cleared the assignments. A total of 11,392 (47%), 8,205 (62%) medical PGs and 896 (34%) faculty members successfully completed the course. Feedback from 1305 (5%) participants had mean score of 4.5/5 (±0.7) for quality of teaching. We faced challenges in customizing the course for medical participants, unawareness among target group, digital illiteracy and the ongoing pandemic. Conclusions During the inaugural cycle of the online Basic Course in Biomedical Research course, nearly half of the enrolled participants successfully completed and received the certificate. India’s MOOC for enhancing research capabilities of future medical researchers encountered successes and challenges. Lessons learnt from the inaugural cycle will guide future directions and to address larger issues in terms of sustainability and replication by stakeholders in medical education in India or elsewhere.

Background: The health implications surrounding a mass gathering pose significant challenges to public health officials. The use of syndromic surveillance provides an ideal method for achieving the public health goals and objectives at such events. In the absence of published reports of systematic documentation of public health preparedness in mass gatherings in the local context, we describe the public health preparedness and demonstrate the operational feasibility of a tablet-based participatory syndromic surveillance among pilgrims during the annual ritual circumambulation- Panchkroshi Yatra. Methods: A real-time surveillance system was established from 2017-2019 to capture all the health consultations done at the designated points (medical camps) in the Panchkroshi yatra area of the city Ujjain in Madhya Pradesh. We also surveyed a subset of pilgrims in 2017 to gauge satisfaction with the public health measures such as sanitation, water, safety, food, and cleanliness. Results: In 2019, injuries were reported in the highest proportion (16.7%; 794/4744); most numbers of fever cases (10.6%; 598/5600) were reported in 2018, while 2017 saw the highest number of patient presentations of abdominal pain (7.73%; 498/6435). Conclusion: Public health and safety measures were satisfactory except for the need for setting up urinals along the fixed route of the circumambulation. A systematic data collection of selected symptoms among yatris and their surveillance through tablet could be established during the panchkroshi yatra, which can complement the existing surveillance for detecting early warning signals. We recommend the implementation of such tablet-based surveillance during such mass gathering events.

IntroductionOn February 2, 2020, the head of a visually impaired school notified similar eye symptoms among the students. We investigated the cluster to confirm the diagnosis, identify potential exposures, and propose recommendations.MethodologyWe defined a case as redness/watering/discharge from any eye among the students and staff, January–February 2020. We actively searched for the cases and calculated attack rates. We drew epicurve by date of symptoms onset. We conducted a retrospective cohort study of students and staff. We collected data on potential exposures and calculated Risk Ratio (RR), 95% Confidence Interval (95%CI), and Population Attributable Risk (PAR). We sent a conjunctival swab of the three cases for microbiological analysis.ResultsWe diagnosed the cases as acute conjunctivitis and identified 39 (76%) cases among 51 individuals. All the 39 cases reported watering and redness; 28 (72%) and 12 (31%) reported eye pain and discharge, respectively. The median age of the case was 11 years (range: 6–48 years). The attack rate didn't differ significantly between males [77% (20/26)] and females [76% (19/25), p = 0.9]. The attack rate was higher among the students [86%, (38/44)] than staffs [14%, (1/7), p =

BackgroundWearing a mask is one of the simplest ways to reduce the spread of COVID-19. Studies reported poor mask compliance in Greater Chennai Corporation, India. Hence, we described the knowledge, attitude, and practice regarding mask use among adults (≥18 years) in Greater Chennai Corporation, Tamil Nadu, India.MethodsWe conducted a cross-sectional survey among residents of Greater Chennai Corporation in March 2021. We estimated the sample size to be 203 per strata (slum and non-slum). We used a simple random sampling technique to select 20 locations using a digital map in the slum and non-slum areas. After reaching the location chosen, we selected 10 consecutive households and one adult (≥18 years of age) from each household. We used a validated, semi-structured questionnaire for collecting data regarding knowledge, attitudes, and practices for mask use. We estimated proportions and 95% CI for key variables and compared the variables between slums and non-slums.ResultsOf 430 participants included in the study, 51.4% were males. The mean (S.D.) age of the participants is 41.1 (14.6) years. The majority (86.7%) of the participants felt that wearing a mask helped in reducing the spread of coronavirus and the knowledge differed (p-value < 0.05) between the slum (81.4%) and non-slum (92.3%). Nearly half (46.5%) of the participants did not like being forced to wear the mask. About 63.9% of the participants reported the practice of mask use while going out which was similar across slums and non-slums.ConclusionAlthough the knowledge regarding mask use was good among the public, the attitude was unfavorable. We suggest continuous reinforcement by spreading awareness and educating the community on the appropriate use of the mask.

Background: India reported first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) on 30 January from Kerala. Media surveillance is useful to capture unstructured information about outbreaks. We established media surveillance and described the characteristics of the COVID-19 cases, clusters, deaths by time, place, and person during January–March 2020 in India. Methods: The media surveillance team of ICMR-National Institute of Epidemiology abstracted data from public domains of India's Central and State health ministries, online news and social media platforms for the period of January 31 to March 26, 2020. We collected data on person (socio-demographics, circumstances of travel/contact, clinical and laboratory), time (date/period of reported exposures; laboratory confirmation and death) and place (location). We drew epidemic curve, described frequencies of cases by age and gender. We described available details for identified clusters. Results: As of March 26, 2020, India reported 694 (Foreigners = 45, 6%) confirmed COVID-19 cases (Attack rate = 0.5 per million population) and 17 deaths (Fatality = 2.5%) from 21 States and 6 Union Territories. The cases were higher among 20–59 years of age (60 of 85) and male gender (65 of 107). Median age at death was 68 years (Range: 38–85 years). We identified 13 clusters with a total of 63 cases and four deaths among the first 200 cases. Conclusion: Surveillance of media sources was useful in characterizing the epidemic in the early phase. Hence, media surveillance should be integrated in the routine surveillance systems to map the events specially in context of new disease outbreaks.

Objectives To describe the public health strategies and their effect in controlling the COVID-19 pandemic from March to October 2020 in Chennai, India.Setting Chennai, a densely populated metropolitan city in Southern India, was one of the five cities which contributed to more than half of the COVID-19 cases in India from March to May 2020. A comprehensive community-centric public health strategy was implemented for controlling COVID-19, including surveillance, testing, contact tracing, isolation and quarantine. In addition, there were different levels of restrictions between March and October 2020.Participants We collected the deidentified line list of all the 192 450 COVID-19 cases reported from 17 March to 31 October 2020 in Chennai and their contacts for the analysis. We defined a COVID-19 case based on the real-time reverse transcriptase-PCR (RT-PCR) positive test conducted in one of the government-approved labs.Outcome measures The primary outcomes of interest were incidence of COVID-19 per million population, case fatality ratio (CFR), deaths per million, and the effective reproduction number (Rt). We also analysed the surveillance, testing, contact tracing and isolation indicators.Results Of the 192 450 RT-PCR confirmed COVID-19 cases reported in Chennai from 17 March to 31 October 2020, 114 889 (60%) were males. The highest incidence was 41 064 per million population among those 61–80 years. The incidence peaked during June 2020 at 5239 per million and declined to 3627 per million in October 2020. The city reported 3543 deaths, with a case fatality ratio of 1.8%. In March, Rt was 4.2, dropped below one in July and remained so until October, even with the relaxation of restrictions.Conclusion The combination of public health strategies might have contributed to controlling the COVID-19 epidemic in a large, densely populated city in India. We recommend continuing the test-trace-isolate strategy and appropriate restrictions to prevent resurgence.

Objective To describe the characteristics of contacts of patients with COVID-19 case in terms of time, place and person, to calculate the secondary attack rate (SAR) and factors associated with COVID-19 infection among contacts.Design A retrospective cohort studySetting and participants Contacts of cases identified by the health department from 14 March 2020to 30 May 2020, in 9 of 38 administrative districts of Tamil Nadu. Significant proportion of cases attended a religious congregation.Outcome measure Attack rate among the contacts and factors associated with COVID-19 positivity.Results We listed 15 702 contacts of 931 primary cases. Of the contacts, 89% (n: 14 002) were tested for COVID-19. The overall SAR was 4% (599/14 002), with higher among the household contacts (13%) than the community contacts (1%). SAR among the contacts of primary cases with congregation exposure were 5 times higher than the contacts of non-congregation primary cases (10% vs 2%). Being a household contact of a primary case with congregation exposure had a fourfold increased risk of getting COVID-19 (relative risk (RR): 16.4; 95% CI: 13 to 20) than contact of primary case without congregation exposure. Among the symptomatic primary cases, household contacts of congregation primaries had higher RR than household contacts of other cases ((RR: 25.3; 95% CI: 10.2 to 63) vs (RR: 14.6; 95% CI: 5.7 to 37.7)). Among asymptomatic primary case, RR was increased among household contacts (RR: 16.5; 95% CI: 13.2 to 20.7) of congregation primaries compared with others.Conclusion Our study showed an increase in disease transmission among household contacts than community contacts. Also, symptomatic primary cases and primary cases with exposure to the congregation had more secondary cases than others.

Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted information from hospital records and registers. We described the cluster by time, place and person. We conducted unmatched case-control study to compare risk factors and computed Odds Ratio (OR) and 95% confidence interval. Results: We confirmed COVID-19 in 21 of 1478 tested (1.4%). Secondary attack (%) of COVID-19 among 824 contacts was higher among in-patients of block A (18), household contacts (3.4), housekeeping staff (3.3) and nurses (1.7). The cluster started on April 22 with two successive peaks five days apart and lasted until May 8. Being male, patients aged >33 years [OR = 30·7; 95% CI = 3·6 to 264], having hypertension [OR = 4·3; 95% CI = 1·1 to 16·7] or diabetes [OR = 3·8; 95% CI = 1·0 to 14·1] were associated with COVID-19. Mask compliance was poor (20%) among hospital workers. Discussion: We recommended screening of all patients for diabetes and hypertension and isolation/testing of anyone with influenza-like illness for preventing COVID-19 clusters in hospital settings.

Objective To generate national estimates of key non-communicable disease (NCD) risk factors for adolescents (15–17 years) identified in the National NCD Monitoring Framework and, study the knowledge, attitudes and practices towards NCD risk behaviours among school-going adolescents.Design and setting A community-based, national, cross-sectional survey conducted during 2017–2018. The survey was coordinated by the Indian Council of Medical Research—National Centre for Disease Informatics and Research with 10 reputed implementing research institutes/organisations across India in urban and rural areas.Participants A multistage sampling design was adopted covering ages between 15 and 69 years—adolescents (15–17 years) and adults (18–69 years). The sample included 12 000 households drawn from 600 primary sampling units. All available adolescents (15–17 years) from the selected households were included in the survey.Main outcome measures Key NCD risk factors for adolescents (15–17 years)—current tobacco and alcohol use, dietary behaviours, insufficient physical activity, overweight and obesity.Results Overall, 1402 households and 1531 adolescents completed the survey. Prevalence of current daily use of tobacco was 3.1% (95% CI: 2.0% to 4.7%), 25.2% (95% CI: 22.2% to 28.5%) adolescents showed insufficient levels of physical activity, 6.2% (95% CI: 4.9% to 7.9%) were overweight and 1.8% (95% CI: 1.0% to 2.9%) were obese. Two-thirds reported being imparted health education on NCD risk factors in their schools/colleges.Conclusion The survey provides baseline data on NCD-related key risk factors among 15–17 years in India. These national-level data fill information gaps for this age group and help assess India’s progress towards NCD targets set for 2025 comprehensively. Though the prevalence of select risk factors is much lower than in many developed countries, this study offers national evidence for revisiting and framing appropriate policies, strategies for prevention and control of NCDs in younger age groups.

PurposeGovernment of Tamil Nadu, India, mandated the face mask wearing in public places as one of the mitigation measures of COVID-19. We established a surveillance system for monitoring the face mask usage. This study aimed to estimate the proportion of the population who wear face masks appropriately (covering nose, mouth, and chin) in the slums and non-slums of Chennai at different time points.MethodsWe conducted cross-sectional surveys among the residents of Chennai at two-time points of October and December 2020. The sample size for outdoor mask compliance for the first and second rounds of the survey was 1800 and 1600, respectively, for each of the two subgroups-slums and non-slums. In the second round, we included 640 individuals each in the slums and non-slums indoor public places and 1650 individuals in eleven shopping malls. We calculated the proportions and 95% confidence interval (95%CI) for the mask compliance outdoors and indoors by age, gender, region, and setting (slum and non-slum).ResultsWe observed 3600 and 3200 individuals in the first and second surveys, respectively, for outdoor mask compliance. In both rounds, the prevalence of appropriate mask use outdoors was significantly lower in the slums (28%-29%) than non-slum areas (36%-35%) of Chennai (pConclusionNearly one-third of residents of Chennai, India, correctly wore masks in public places. We recommend periodic surveys, enforcement of mask compliance in public places, and mass media campaigns to promote appropriate mask use.

BackgroundRisk factors for the development of severe COVID-19 disease and death have been widely reported across several studies. Knowledge about the determinants of severe disease and mortality in the Indian context can guide early clinical management.MethodsWe conducted a hospital-based case control study across nine sites in India to identify the determinants of severe and critical COVID-19 disease.FindingsWe identified age above 60 years, duration before admission >5 days, chronic kidney disease, leucocytosis, prothrombin time > 14 sec, serum ferritin >250 ng/mL, d-dimer >0.5 ng/mL, pro-calcitonin >0.15 μg/L, fibrin degradation products >5 μg/mL, C-reactive protein >5 mg/L, lactate dehydrogenase >150 U/L, interleukin-6 >25 pg/mL, NLR ≥3, and deranged liver function, renal function and serum electrolytes as significant factors associated with severe COVID-19 disease.InterpretationWe have identified a set of parameters that can help in characterising severe COVID-19 cases in India. These parameters are part of routinely available investigations within Indian hospital settings, both public and private. Study findings have the potential to inform clinical management protocols and identify patients at high risk of severe outcomes at an early stage.

We estimated the effectiveness of two doses of the ChAdOx1 nCoV-19 (Covishield) vaccine against any COVID-19 infection among individuals ≥45 years in Chennai, Tamil Nadu, India. A community-based cohort study was conducted from May to September 2021 in a selected geographic area in Chennai. The estimated sample size was 10,232. We enrolled 69,435 individuals, of which 21,793 were above 45 years. Two-dose coverage of Covishield in the 18+ and 45+ age group was 18% and 31%, respectively. Genomic analysis of 74 out of the 90 aliquots collected from the 303 COVID-19-positive individuals in the 45+ age group showed delta variants and their sub-lineages. The vaccine’s effectiveness against COVID-19 disease in the ≥45 age group was 61.3% (95% CI: 43.6–73.4) at least 2 weeks after receiving the second dose of Covishield. We demonstrated the effectiveness of two doses of the ChAdOx1 vaccine against the delta variant in the general population of Chennai. We recommend similar future studies considering emerging variants and newer vaccines. Two-dose vaccine coverage could be ensured to protect against COVID-19 infection.

INTRODUCTION:Dengue is the most extensively spread mosquito-borne disease; endemic in more than 100 countries. Information about dengue disease burden, its prevalence, incidence and geographic distribution is critical in planning appropriate control measures against dengue fever. We conducted a systematic review and meta-analysis of dengue fever in India. METHODS:We searched for studies published until 2017 reporting the incidence, the prevalence or case fatality of dengue in India. Our primary outcomes were (a) prevalence of laboratory confirmed dengue infection among clinically suspected patients, (b) seroprevalence in the general population and (c) case fatality ratio among laboratory confirmed dengue patients. We used binomial-normal mixed effects regression model to estimate the pooled proportion of dengue infections. Forest plots were used to display pooled estimates. The metafor package of R software was used to conduct meta-analysis. RESULTS:Of the 2285 identified articles on dengue, we included 233 in the analysis wherein 180 reported prevalence of laboratory confirmed dengue infection, seven reported seroprevalence as evidenced by IgG or neutralizing antibodies against dengue and 77 reported case fatality. The overall estimate of the prevalence of laboratory confirmed dengue infection among clinically suspected patients was 38.3% (95% CI: 34.8%-41.8%). The pooled estimate of dengue seroprevalence in the general population and CFR among laboratory confirmed patients was 56.9% (95% CI: 37.5-74.4) and 2.6% (95% CI: 2-3.4) respectively. There was significant heterogeneity in reported outcomes (p-values

Community Health Workers (CHWs) play a crucial role in the prevention and management of noncommunicable diseases (NCDs). The COVID-19 pandemic triggered the implementation of crisis-driven responses that involved shifts in the roles of CHWs in terms of delivering services for people with NCDs. Strategically aligning these shifts with health systems is crucial to improve NCD service delivery. The aim of this review was to identify and describe COVID-19-triggered shifting roles of CHWs that are promising in terms of NCD service delivery. We searched Ovid Medline, Embase, CINAHL, Web of Science and CABI for Global Health for relevant articles published between 1 January 2020 and 22 February 2022. Studies that were conducted within a COVID-19 context and focused on the shifted roles of CHWs in NCD service delivery were included. We used Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines to report the findings. A total of 25 articles from 14 countries were included in this review. We identified 12 shifted roles of CHWs in NCD service delivery during COVID-19, which can be categorized in three dimensions: 'enhanced' role of CHWs that includes additional tasks such as medication delivery; 'extended' roles such as the delivery of NCD services at household level and in remote communities; and 'enabled' roles through the use of digital health technologies. Health and digital literacy of people with NCDs, access to internet connectivity for people with NCDs, and the social and organizational context where CHWs work influenced the implementation of the shifted roles of CHWs. In conclusion, the roles of CHWs have shifted during the COVID-19 pandemic to include the delivery of additional NCD services at home and community levels, often supported by digital technologies. Given the importance of the shifting roles in the prevention and management of NCDs, adaptation and integration of these shifted roles into the routine activities of CHWs in the post-COVID period is recommended. [ABSTRACT FROM AUTHOR]

Background: Antihypertensive drug supply is sometimes inadequate in public sector health facilities in India. One of the core strategies of the India Hypertension Control Initiative (IHCI) is to improve the availability of antihypertensive drugs in primary and secondary care facilities. We quantified the availability of antihypertensive drugs in 2019–20 and described the practices in supply chain management in 22 districts across four states of India. Methods: Twenty-two districts from 4 states (Punjab, Madhya Pradesh, Telangana, and Maharashtra) were studied. We described the practices and challenges in supply chain management. We collected data on drug procurement from 2018 to 2020 and drug availability from April 2019 to March 2020. Quantity procured, the proportion of facilities with stockout at the end of each quarter, and availability of drugs in patient days were tabulated. Results: All states selected drug- and dose-specific protocols with Amlodipine as the initial drug and shifted to morbidity-based forecasting. The total number of antihypertensive tablets procured for the 22 districts increased from 16 million in 2017–2018 to 160 million in 2019–2020. The proportion of facilities with Amlodipine stock-out was below 5% during the study period. Amlodipine stock was available for at least 60 patient days from the third quarter of 2019 onward in all districts. Conclusions: This study demonstrates that including best practices can gradually strengthen the procurement and supply chain for antihypertensives in a low-resource setting. As the program was rapidly growing, there were still gaps in the procurement and distribution system which needed to be addressed to ensure the adequacy of drugs. We recommend that best practices, including choosing a single protocol, basing supply on projected patient load rather than an increment from historical levels, and using simple stock management tools, be replicated in other districts in India to increase and sustain coverage of hypertension treatment. [ABSTRACT FROM AUTHOR]