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COVID-19 was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Since then, efforts were initiated to develop safe and effective vaccines. Till date, 11 vaccines have been included in the WHO’s emergency use list. The emergence and spread of variant strains of SARS-CoV-2 has altered the disease transmission dynamics, thus creating a need for continuously monitoring the real-world effectiveness of various vaccines and assessing their overall impact on disease control. To achieve this goal, the Indian Council of Medical Research (ICMR) along with the Ministry of Health and Family Welfare, Government of India, took the lead to develop the India COVID-19 Vaccination Tracker by synergizing three different public health databases: National COVID-19 testing database, CoWIN vaccination database and the COVID-19 India portal. A Vaccine Data Analytics Committee (VDAC) was constituted to advise on various modalities of the proposed tracker. The VDAC reviewed the data related to COVID-19 testing, vaccination and patient outcomes available in the three databases and selected relevant data points for inclusion in the tracker, following which databases were integrated, using common identifiers, wherever feasible. Multiple data filters were applied to retrieve information of all individuals ?18 yr who died after the acquisition of COVID-19 infection with or without vaccination, irrespective of the time between vaccination and test positivity. Vaccine effectiveness (VE) against the reduction of mortality and hospitalizations was initially assessed. As compared to the hospitalization data, mortality reporting was found to be much better in terms of correctness and completeness. Therefore, hospitalization data were not considered for analysis and presentation in the vaccine tracker. The vaccine tracker thus depicts VE against mortality, calculated by a cohort approach using person-time analysis. Incidence of COVID-19 deaths among one- and two-dose vaccine recipients was compared with that among unvaccinated groups, to estimate the rate ratios (RRs). VE was estimated as 96.6 and 97.5 per cent, with one and two doses of the vaccines, respectively, during the period of reporting. The India COVID-19 Vaccination Tracker was officially launched on September 9, 2021. The high VE against mortality, as demonstrated by the tracker, has helped aid in allaying vaccine hesitancy, augmenting and maintaining the momentum of India’s COVID-19 vaccination drive
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Background & objectives: COVID-19 cases have been rising rapidly in countries where the SARS-CoV-2 variant of concern (VOC), Omicron (B.1.1.529) has been reported. We conducted a study to describe the epidemiological and clinical characteristics and outcomes of COVID-19 patients with ‘S’ gene target failure (SGTF, suspected Omicron). Furthermore, their clinical outcomes with COVID-19 patients with non-SGTF (non-Omicron) were also compared. Methods: This study was conducted in Tamil Nadu, India, between December 14, 2021 and January 7, 2022 among patients who underwent reverse transcription-PCR testing for SARS-CoV-2 in four laboratories with facilities for S gene screening. Consecutively selected COVID-19 patients with SGTF were telephonically contacted, seven and 14 days respectively after their date of positive result to collect information on the socio-demographic characteristics, previous history of COVID-19, vaccination status and clinical course of illness along with treatment details. To compare their outcomes with non-SGTF patients, one randomly suspected non-Omicron case for every two suspected Omicron cases from the line-list were selected, matching for the date of sample collection and the testing laboratory. Results: A total of 1175 SGTF COVID-19 patients were enrolled for this study. Almost 6 per cent (n=72) reported a history of previous infection. 141 (13.5%) suspected Omicron cases were non-vaccinated, while 148 (14.2%) and 703 (67.4%) had received valid one and two doses of COVID-19 vaccines, respectively. Predominant symptoms reported included fever (n=508, 43.2%), body pain (n=275, 23.4%), running nose (n=261, 22.2%) and cough (n=249, 21.2%). Five (0.4%) of the 1175 suspected Omicron cases required oxygen supplementation as compared to ten (1.6%) of the 634 suspected non-Omicron cases. No deaths were reported among omicron suspects, whereas there were four deaths among suspected non-Omicron cases. Interpretation & conclusions: Majority of the suspected Omicron cases had a mild course of illness. The overall severity of these cases was less compared to the suspected non-Omicron cases.
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Background. India has a high burden of diabetic retinopathy ranging from 12.2% to 20.4% among patients with type 2 diabetes mellitus (T2DM). A T2DM management programme was initiated in the public sector in Tamil Nadu. We estimated the prevalence of diabetic retinopathy and its associated risk factors. Methods. We did a cross-sectional survey among patients with T2DM attending two primary health centres for treatment and follow-up in Kancheepuram, Tamil Nadu in January– March 2013. We did a questionnaire-based survey, and measured blood pressure and biochemical parameters (serum creatinine, plasma glucose, etc.) of the patients. We examined their eyes by direct and indirect ophthalmoscopy and defined diabetic retinopathy using a modified classification by Klein et al. We calculated the proportion and 95% CI for the prevalence and adjusted odds ratio (AOR) for risk factors associated with diabetic retinopathy. Results. Among the 270 patients, the mean (SD) age was 54.5 (10) years. The median duration of T2DM was 48 months. The prevalence of diabetic retinopathy was 29.6%. Overall, 65.9% of patients had hypertension, 14.4% had nephropathy (eGFR <60 mg/dl) and 67.4% had neuropathy. Among patients with comorbid conditions, 60%, 48%, 32%, and 3% were already diagnosed to have hypertension, neuropathy, retinopathy, and nephropathy, respectively. The risk factors for diabetic retinopathy were hypertension (AOR 3.2, 95% CI 1.7–6.3), duration of T2DM >5 years (AOR 6.5, 95% CI 3.6–11.7), poor glycaemic control (AOR 2.4,
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India, the second most populous country in the world, has 17% of the world’s population but its total share of global disease burden is 21%. With epidemiological transition, the challenge of the public health system is to deal with a high burden of noncommunicable diseases, while still continuing the battle against communicable diseases. To combat this progression, public health capacity-building initiatives for the health workforce are necessary to develop essential skills in epidemiology and competencies in other related fields of public health. This study is an effort to systematically explore the training programmes in epidemiology in India and to understand the demand–supply dynamics of epidemiologists in the country. A systematic, predefined approach, with three parallel strategies, was used to collect and assemble the data regarding epidemiology training in India and assess the demand–supply of epidemiologists in the country. The programmes offering training in epidemiology included degree and diploma courses offered by departments of preventive and social medicine/community medicine in medical colleges and 19 long-term academic programmes in epidemiology, with an estimated annual output of 1172 per year. The demand analysis for epidemiologists estimated that there is need for at least 3289 epidemiologists to cater for the demand of various institutions in the country. There is a wide gap in demand–supply of epidemiologists in the country and an urgent need for further strengthening of epidemiology training in India. More capacity-building and training initiatives in epidemiology are therefore urgently required to promote research and address the public health challenges confronting the country.
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In the aftermath of a severe cyclonic storm on 7 January 2012, a cluster of acute diarrhoea cases was reported from two localities in Pondicherry, Southern India. We investigated the outbreak to identify causes and recommend control measures. We defined a case as occurrence of diarrhoea of more than three loose stools per day with or without vomiting in a resident of affected areas during 6-18 January 2012. We used active (door-to-door survey) and stimulated passive (healthy facility-based) surveillance to identify cases. We described the outbreak by time, place, and person. We compared the case-patients with up to three controls without any apparent signs and symptoms of diarrhoea and matched for age, gender, and neighbourhood. We calculated matched odds ratio (MOR), 95% confidence intervals (CI), and population attributable fractions (PAF). We collected rectal swabs and water samples for laboratory diagnosis and tested water samples for microbiological quality. We identified 921 cases and one death among 8,367 residents (attack rate: 11%, case-fatality: 0.1%). The attack rate was the highest among persons of 50 years and above (14%) and females (12%). The outbreak started on 6 January and peaked on the 9th and lasted till 14 January. Cases were clustered around two major leakages in water supply system. Nine of the 16 stool samples yielded V. cholerae O1 Ogawa. We identified that consumption of water from the public distribution system (MOR=37, 95% CI 4.9-285, PAF: 97%), drinking unboiled water (MOR=35, 95% CI 4.5-269, PAF: 97%), and a common latrine used by two or more households (MOR=2.7, 95% CI 1.3-5.6) were independently associated with cholera. Epidemiological evidence suggested that this outbreak was due to ingestion of water contaminated by drainage following rains during cyclone. We recommended repair of the water supply lines, cleaning-up of the drains, handwashing, and drinking of boiled water.
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Globally, 1 billion people live in slums. There are few reports of high prevalence of noncommunicable disease (NCD) risk factors among the urban poor. The prevalence of NCD risk factors in the slums in North 24 Parganas, West Bengal, India was estimated. Cross-sectional survey in 24 slums selected using cluster sampling method was conducted. Questionnaire for behavioral risk factors was used and anthropometric and blood pressure measurements were done. The study population included 1052 participants aged 25-64 years, 528 (50%) were males. Among males, 206 (39%) were current smokers and 154 (29%) were current alcohol users. Central obesity was prevalent among 32.8% males and 56.1% females and 115 (10.9%) had body mass index ≥27.5 kg/m2. Hypertension was prevalent among 35% males and 33% females. We observed high prevalence of NCD risk factors among urban slum dwellers that need to be addressed with health promotion programs and strengthening of primary health care system.
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Background. Smoking tobacco affects the health of smokers as well as non-smokers who are exposed to secondhand smoke. The Government of India enacted the Cigarettes and Other Tobacco Products Act in 2003, which included a ban on smoking in public places and on sale of tobacco around educational institutions. We assessed the extent of compliance with these laws in restaurants and educational institutions in Chennai, Tamil Nadu, India. Methods. We conducted a cross-sectional survey using an observation checklist in restaurants and educational institutions in Chennai. We used cluster sampling for restaurants and random sampling for schools and colleges. We collected data regarding the signage displaying prohibition of smoking as per the law and sale of tobacco products around educational institutions. We estimated the proportions for various indicators. Results. Among the 400 restaurants surveyed, 371 (92.8%) did not have any signage displaying prohibition of smoking and of the 29 restaurants with signage, only 4 were as per the specifications. There were 62 (15.5%) smoking events in restaurants at the time of visit for survey. Among the 287 schools surveyed, only 8 (2.8%) had the signage displaying prohibition of smoking and 2 (0.7%) had the signage for ban on sale of tobacco products. Of the 54 colleges surveyed, 8 (14.8%) had the signage displaying prohibition of smoking and 7 (13%) had the signage for ban on sale of tobacco products. Conclusion. There was low compliance of smoke-free laws in restaurants and educational institutions in Chennai. We recommend a robust monitoring mechanism to ensure the enforcement of smoke-free laws in public places.
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Humans , India , Law Enforcement , Location Directories and Signs/statistics & numerical data , Public Health/legislation & jurisprudence , Public Policy , Restaurants/legislation & jurisprudence , Schools/legislation & jurisprudence , Smoking/legislation & jurisprudence , Tobacco Smoke Pollution/legislation & jurisprudenceABSTRACT
Background:In India, the Home Based Postnatal Newborn Care programme by Accredited Social Health Activists (ASHAs) under the National Rural Health Mission was initiated in 2011 to reduce neonatal mortality rates (NMRs). ASHAs get cash incentives for six postnatal home visits for newborn care. We studied newborn care practices among mothers in Mewat, Haryana, having a high NMR and determined risk factors for unsafe practices and described the knowledge and skills of ASHAs during home visits.Methods:A cross-sectional survey was conducted among mothers who had delivered a child during the previous seven months using cluster sampling. We interviewed mothers and ASHAs in the selected subcentres using semi–structured questionnaires on the six safe newborn care practices, namely safe breastfeeding, keeping cord and eyes clean, wrapping baby, kangaroo care, delayed bathing and hand washing.Results:We interviewed 320 mothers, 61 ASHAs and observed 19 home visits. Overall, 60% of mothers adopted less than three safe practices. Wrapping newborns (96%) and delayed bathing (64%) were better adopted than cord care (49%), safe breastfeeding (48%), hand washing (30%), kangaroo care (20%) and eye care (9%). Cultural beliefs and traditional birth attendants influenced the mother’s practices. The lack of supervision by auxiliary nurse midwives (ANM), delayed referral and transportation were the other challenges.Conclusion:Knowledge–practice gaps existed among mothers counselled by ASHAs. Poor utilization of reproductive and child health services decreased opportunities for ASHA–mother dialogue on safe practices. Recommendations included training ANMs, training TBAs as ASHAs, innovative communication strategies for ASHAs and improved referral system.
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Background: The fi rst case of pandemic Infl uenza A (H1N1) in India was reported from Hyderabad, Andhra Pradesh on 16th May 2009. Subsequently, all suspected cases seeking treatment from A (H1N1) treatment centers and their contacts were tested. Laboratory confi rmed cases were hospitalized and treated with antivirals according to national guidelines. We reviewed the surveillance data to assess the morbidity and mortality due to A (H1N1) in the state of Andhra Pradesh (population-76,210,007) during the period from May 2009 to December 2010. Materials and Methods: We obtained the line-list of suspected (infl uenza like illness as per World Health Organization case defi nition) and laboratory confi rmed cases of A (H1N1) from the state unit of integrated disease surveillance project. We analyzed the data to describe the distribution of case-patients by time, place and person. Results: During May 2009 to December 2010, a total of 6527 suspected (attack rate: 8.6/100,000) and 1480 (attack rate: 1.9/100,000) laboratory confi rmed cases were reported from the State. Nearly 90% of the suspected and 93% of the confi rmed cases was from nine districts of Telangana region, which includes Hyderabad. Nearly 65% of total confi rmed cases were reported from Hyderabad. The attack rate was maximum (2.6/100,000) in the age group of 25-49 years. The cases peaked during August-October. 109 case-patients died (Case fatality ratio: 7%) and most (80%) of these patients had comorbid conditions such as diabetes (24%), chronic obstructive pulmonary disease (20%), hypertension (11%) and pregnancy (11%). Case fatality was higher (16%) among patients who were older than 60 years of age compared with other age groups. Conclusions: In Andhra Pradesh, H1N1 transmission peaked during August-October months and predominately affected adults. Case fatality was higher in patients older than 60 years with comorbid conditions.
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Background: Delay in TB diagnosis and treatment is associated with increased transmission, morbidity and mortality. Patient and provider factors are responsible for such delays. We conducted a study to estimate these delays and identify associated factors among new sputum positive (NSP) TB patients in Mandi district, Himachal Pradesh. Methods: We interviewed 234 NSP patients to collect information on their health seeking behaviour. We conducted univariate and multivariate analysis to identify factors associated with longer delays. Results: Median patient, health system and total delay were 15, 13 and 36 days respectively. Significant factors associated with total delay included patients’ knowledge about TB, seeking care from non-specialized individuals as the first action, consulting >2 health facilities before diagnosis and consulting private health facilities. Patients with low family income and those who had high expenditure on consultations before initial diagnosis were associated with patient and health system delay respectively. Conclusion: It is necessary to increase community awareness about TB symptoms and availability of free treatment at public health facilities. Educating private physicians about the need for maintaining a high index of suspicion of tuberculosis and sensitizing drug-store owners to refer the chest symptomatics to government health facilities would also help in reducing these delays.
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Adult , Delayed Diagnosis , Female , Health Services Accessibility , Humans , Incidence , India/epidemiology , Male , Patient Acceptance of Health Care , Surveys and Questionnaires , Registries , Retrospective Studies , Risk Factors , Socioeconomic Factors , Time Factors , Tuberculosis/diagnosis , Tuberculosis/drug therapy , Tuberculosis/epidemiologyABSTRACT
In non vaccination ancient era, multiple epidemics of measles/german measles/variola used to occur in the cyclical trend of two to three years during spring months. Outbreaks in Faroe Islands in 1846 and in Fizi Island in 1875 are examples of this type of transmission where virgin epidemics took the highest mortality toll. According to WHO report, in the absence of immunization, 90% of the persons can be expected to develop clinical measles sometimes in their life time as noted in Greenland in 1951 epidemic and german measles in 2012 in Kangra. But the epidemiology of communicable diseases underwent tremendous change not only in the developed countries, viz America and European countries but also in the developing countries like India, Pakistan and African countries with the introduction of vaccination and thereby mortality and morbidity on account of vaccine preventable diseases in all the age groups around the world nose dived. This provided a big relief to the suffering humanity across the world. Different countries have various sets of immunization programme running in the countries; be it single dose of measles at the age of 270 days or second shot of measles or other vaccinations. Round the globe, MMR or MMRV or pentavalent vaccination with their pluses or minuses, still is the right choice to mitigate the menace of measles
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Cholera is an acute infectious disease caused by Vibrio cholerae . The disease occurs in a variety of forms ranging from sporadic cases to outbreaks that may transition to endemic disease. While cholera case management focuses on early, rapid rehydration, antimicrobial therapy can reduce the volume of diarrhoea, duration of carriage and symptoms and is frequently recommended for patients with severe dehydration.
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Under the International Health Regulations (2005), Member States are required to develop capacity in event-based surveillance (EBS). The Papua New Guinea National Department of Health established an EBS system during the influenza pandemic in August 2009. We review its performance from August 2009 to November 2012, sharing lessons that may be useful to other low-resource public health practitioners working in surveillance. We examined the EBS system’s event reporting, event verification and response. Characteristics examined included type of event, source of information, timeliness, nature of response and outcome. Sixty-one records were identified. The median delay between onset of the event and date of reporting was 10 days. The largest proportion of reports (39%) came from Provincial Health Offices, followed by direct reports from clinical staff (25%) and reports in the media (11%). Most (84%) of the events were substantiated to be true public health events, and 56% were investigated by the Provincial Health Office alone. A confirmed or probable etiology could not be determined in 69% of true events. EBS is a simple strategy that forms a cornerstone of public health surveillance and response particularly in low-resource settings such as Papua New Guinea. There is a need to reinforce reporting pathways, improve timeliness of reporting, expand sources of information, improve feedback and improve diagnostic support capacity. For it to be successful, EBS should be closely tied to response.
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We thank Dr Viroj Wiwanitkit for his comments on our preliminary assessment of the age and sex distribution of the human cases with avian influenza A(H7N9) virus infection. To clarify, we posed three scenarios which could possibly explain the preponderance of cases among elderly men reported through China’s surveillance system: (1) differential exposure due to gender-associated practices and norms, e.g. more high-risk behaviours among elderly men; (2) differential clinical course post-exposure/infection, e.g. given similar exposures, elderly men have a more severe outcome relative to other age–gender groups; and (3) differential health care-seeking/access behaviour favouring selection of elderly men, e.g. elderly men accessing health care more than other age-gender groups.
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Background & objectives: The proportion of malaria cases that are complicated and fatal are not well described in India. Alipurduar sub-division of Jalpaiguri district in West Bengal is highly endemic for malaria. We constructed a retrospective cohort of severe malaria patients admitted in the secondary and tertiary care facilities in Alipurduar to determine the incidence, assess the management, and evaluate the reporting of severe and fatal malaria. Methods: We reviewed routine surveillance data and the case records of all the malaria patients admitted in all secondary and tertiary care facilities, both public and private. We defined severe malaria cases as Plasmodium falciparum infection with clinical signs and symptoms of organ involvement in a resident of Alipurduar admitted during January to December 2009. We compared clinical and demographic characteristics of severe malaria cases that died with those who survived. We also reviewed human resources and laboratory facilities available for the treatment of severe malaria in these health facilities. Results: During 2009, 6191 cases of P. falciparum in Alipurduar were reported to the malaria surveillance system. We identified 336 (5.4%) cases of severe malaria among which 33 (9.8%) patients died. Four malaria deaths were also recorded from primary health centres. Only 17 of the 37 (46%) total deaths recorded were reported to the routine surveillance system. Most severe cases were males (65%), aged >15 years (72%), and nearly half were admitted to secondary care hospitals (48%). In multivariate analysis, the risk factors associated with death included increased delay fever onset and hospitalization, treatment in a secondary level hospital, younger age, and multi-organ involvement. The secondary level public hospital had too few physicians and nurses for supporting severe malaria patients as well as inadequate laboratory facilities for monitoring such patients. Conclusions: Severe and fatal malaria continue to burden Alipurduar and record keeping in health facilities was poor. Many malaria deaths were not routinely reported even in the public sector. Improved surveillance and increased human and laboratory resources are needed to reduce malaria mortality.