Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus.

A complete sampling frame (CSF) is needed for the development of probability sampling structures; utilisation of a spatial sampling frame (SSF) was the objective of the present study. We used two sampling methods, simple random sampling (SRS) and stratified random sampling (STRS), to compare the prevalence estimates delivered by a CSF to that by a SSF when applied to self-reported hypertension and diabetes mellitus in a semi-urban setting and in a rural one. A CSF based on Geodatabase of all households and all individuals was available for our study that focused on adults aged 18-69 years in the two settings. A single digitized shapefile of solely household regions/structures as SSF was developed using Google Earth and employed for the study. The results from the two sampling frames were similar and not significantly different. All 95%CI calculations contained the prevalence rates of the two medical conditions except for one occasion based on STRS and CSF. The SRS based on CSF showed a minimum 95% CI width for diabetes mellitus, whereas SSF showed a minimum 95% CI width for hypertension. The coefficient of variation exceeded 10.0% on six occasions for CSF but only once for SSF, which was found to be as efficient as CSF.

Health-related quality of life among patients with gallstone disease: a systematic review and meta-analysis of EQ-5D utility scores.

PURPOSE: Gallstone disease or cholelithiasis is a chronic illness that usually presents with pain in the abdomen, vomiting and indigestion leading to impaired quality of life. EQ-5D utility score is a validated measure of health-related quality of life (HRQoL). We systematically reviewed the literature and synthesised EQ-5D utility scores among patients with gallstone disease and its improvement on treatment. METHODS: We have systematically searched observational studies reporting EQ-5D utility scores of gallstone disease in PubMed, Scopus, and Embase databases, from inception until February 2021. We selected the studies adhering to the PRISMA guidelines. The selected studies were reviewed, and the EQ-5D utility values of pre and post cholecystectomy were pooled using the random-effects model. RESULT: From identified 4,817 records of database search, eleven studies predominantly from western countries with 2,189 participants were included for systematic review and meta-analysis. The pooled EQ-5D and visual analogue scores were 0.87 (0.82 to 0.91, I2 = 93.73%) and 83.30 (60.59 to 106.12, I2 = 99.30%) respectively with high heterogeneity. The pooled EQ-5D and EQ-5D visual analogue scores post cholecystectomy treatment were 0.93 (0.91 to 0.95, I2 = 90.17%) and 91.7 (85.99 to 96.35, I2 = 97.93%) respectively. The mean difference between the baseline and post intervention were 0.05 (0.01 to 0.10, I2 = 93.50%) and 10.58 (-8.63 to 29.79, I2 = 98.32%) for EQ-5D and visual analogue scores respectively with high heterogeneity between the studies. CONCLUSION: The pooled mean difference indicates improvement in HRQoL after cholecystectomy but with high heterogeneity. Further high-quality studies from Asian countries are required for globally representative quantification and precise estimates of HRQoL among gallstone diseases. PROSPERO REGISTRATION ID: CRD42021234467.

Does the roof type of a house influence the presence of adult Anopheles stephensi, urban malaria vector? - evidence from a few slum settings in Chennai, India.

In an urban setting, it is a difficult task to collect adult Anopheles stephensi, unlike the immature stages, due to various reasons. A longitudinal study was undertaken from January 2016 to April 2017, with CDC light traps to collect adult Anopheles stephensi and other mosquito species in houses located in a few slums of Chennai, India. A total of 203 trap collections were made indoors from human dwellings having different roof types, as well as outdoors. Three to four trap collections were made at night (18:00 to 06:00 h) once a week. Overall, Culex quinquefasciatus (64%) was the predominant mosquito species captured, followed by An. stephensi (24%). In 98 of the 203 trap collections (48.3%), at least one female An. stephensi was trapped. In all, 224 female An. stephensi were trapped, of which the majority were collected during monsoon and winter seasons. Compared to outdoors, 10% more An. stephensi, the majority of them unfed, were collected indoors, with relatively more contribution coming from asbestos-roofed houses (71.4%), followed by thatched-roof houses (47.3%). Overall, 2.2% positivity for Plasmodium vivax was detected in An. stephensi through Circumsporozoite-ELISA. Binary logistic regression model indicated that season (winter and monsoon), asbestos-roofed dwelling, lesser number of rooms in a house, and more members in a family were significant predictor variables for the odds of trapping an An. stephensi. The study brought out significant factors associated with the presence of An. stephensi in urban slums setting in Chennai, where malaria is declining. The findings would help in devising targeted, effective vector control interventions for malaria elimination in urban settings.

Association Between Janus Kinase Inhibitors Therapy and Mental Health Outcome in Rheumatoid Arthritis: A Systematic Review and Meta-analysis.

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic debilitating illness, usually associated with mental health ailments. Literature reports contradictory observations about the association between recent RA pharmacotherapies and mental health. We systematically reviewed RA randomized control trials to synthesize the association between Janus kinases (JAK) inhibitors therapy and mental health. METHODS: We systematically searched clinical trials of JAK inhibitor intervention reporting mental health outcomes using short form-36 (SF-36) in PubMed, Embase, and Scopus databases from inception to February 2021. We have selected the studies and extracted the data, adhering to Preferred Reporting Items of Systematic reviews and Meta-Analysis (PRISMA) guidelines. We have pooled the mean change of SF-36 mental component score (MCS) between JAK inhibitors and comparator therapy with a 95% confidence interval. RESULTS: Of the 2915 searched studies for systematic review, 19 studies involving 14,323 individuals were included for the meta-analysis. The pooled mean reduction in SF-36 MCS scores (after minus before) with JAK inhibitors was 4.95 (4.41-5.48). The pooled mean difference of incremental mean change in SF-36 MCS score between JAK monotherapy and comparator was 1.53 (0.88-2.18). The improvement in SF-36 MCS scores with JAK inhibitor therapy is greater than the minimum clinically important difference (MCID) value of 2.5. However, on separate analysis with comparator drugs like methotrexate and standard treatment, the MCS scores did not exceeded the MCID value and were also not statistically significant. CONCLUSIONS: JAK inhibitors results in clinically meaningful improvement in the mental health scores of the RA patients. PROSPERO REGISTRATION ID: 2021 CRD42021234466.

Determining pulmonary function and the associated risk factors among stone quarry workers in a suburban area of Chennai, Tamil Nadu, India.

BACKGROUND: Stone quarrying activities generate dust and fine particulate matters of silica and heavy metals. The prolonged exposure to suspended particulates leads to fatal respiratory complications. Occupational pulmonary complications are poorly characterized among quarry workers in Tamil Nadu. OBJECTIVES: This study aims to assess pulmonary function and determine the associated risk factors among quarry workers. MATERIALS AND METHODS: A comparative, cross-sectional study was conducted from April 2014 to January 2015 among workers at seven stone quarries in Chennai and residents within a 5 Km radius. Pulmonary function tests (PFT) and sputum analysis were done. RESULTS: Overall, 670 participants were enrolled in the study, with a median age of 37 years. Comparatively, the mean PFT measures were significantly lower in quarry workers with a higher proportion of airflow obstruction and tuberculosis infection. CONCLUSION: The risk of airflow obstruction among quarry workers increased with smoking and longer duration of work years in quarry.

Coronavirus: Bibliometric analysis of scientific publications from 1968 to 2020.

Background: The World Health Organization declared the outbreak of COVID-19as a public health emergency of international concern on January 30, 2020. Therefore, relevant research metrics would be an added value for understanding the virus for researchers. Methods: Research outputs related to the Coronavirus were retrieved from the Web of Science database from January 1968 to March 2020 and were analyzed using MS-office, Word Cloud generator, VOS viewer, and ArcGIS software. The analysis was based on the number of research publications per year, contributing author's clustering pattern, most preferred journals, leading publication, document type, broad research areas, commonly used keywords, the geographical distribution of publications, commonly used languages, and productive institutes. Results: The search retrieved 6424 Coronavirus research publications. The number of articles found in the year 1968 was 1, but it was 275 in 2019. A total of 33 clusters of authors contributed to studies on COVID-19 across the globe. The Journal of Virology had the most productivityon Coronavirus publications (n=810). An article published by Ksiazek TG et al in the New England Journal of Medicine had the maximum citation (n=2175); 90% of the research outputs were articles, broadly classified under Infectious diseases (n=5341); and the most commonly used keyword was 'Coronavirus'. The higher number of publications was from the USA (n=2345) and the commonly used language was English (n=5948), and the most productive institute was the University of Hong Kong (n=506). Conclusion: The results of the study showed that the growth pattern was not uniform, the United States, and the University of Hong Kong have played a major role in the contribution of Coronavirus research. Even though this depicts a higher scientific growth, it is an alarming sign to the community for preparedness. Under the prevailing situation of seeking better prevention, treatment and vaccination for COVID-19, in-depth research in the above portrayed metrics would be an added knowledge for the researchers.

Exploration of population ecological factors related to the spatial heterogeneity of dengue fever cases diagnosed through a national network of laboratories in India, 2017.

Background & objectives: Dengue virus (DENV) transmission is known to be influenced by the environmental conditions. During 2017, the Viral Research and Diagnostic Laboratories (VRDLs) tested 78,744 suspected dengue fever (DF) patients, of whom, 21,260 were laboratory confirmed. The objectives of the study were to evaluate the hypothesis that spatial heterogeneity existed for DF patients and to identify significant determinants of DENV transmission in various districts across the Indian States during 2017. Methods: Laboratory confirmed DF cases were analysed from 402 districts spread across the Indian States. The determinants for DF transmission included in the model were population density, proportion of population living in rural areas, proportion o f forest cover area to the total geographical area, proportion of persons not able to read and write and who were aged greater than seven years; the climatic variables considered were minimum, maximum and average temperature, precipitation and cumulative rainfall. The spatial heterogeneity was assessed using spatial regression analysis. Results: DF cases showed strong spatial dependency, with Moran's I=4.44 (P <0.001). The robust measure for spatial lag (6.55; P=0.01) was found to be the best model fit for the data set. Minimum temperature and cumulative rainfall were significant predictors. Interpretation & conclusions: A significant increase in the number of dengue cases has occurred when the minimum temperature was 23.0-25.8°C and the cumulative rainfall 118.14-611.64 mm across the Indian districts. Further in-depth investigations incorporating more number of demographic, ecological and socio-economic factors would be needed for robust conclusions.

Space time analysis of dengue fever diagnosed through a network of laboratories in India from 2014-2017.

BACKGROUND & OBJECTIVES: The Department of Health Research and the Indian Council of Medical Research, Government of India, have established Virus Research and Diagnostic Laboratory Network (VRDLN) to strengthen the laboratory capacity in the country for providing timely diagnosis of disease outbreaks. Fifty-one VRDLs were functional as on December 2017 and had reported about dengue fever across Indian states. The objectives of the study were to detect space time clusters and purely temporal clusters of dengue using Kulldorff's SaTScan statistics using patient level information; and to identify regions at greater risk of developing the disease using Kriging technique aggregating at district level. METHODS: A total of 211,432 patients from 51 VRDLs were investigated for IgM antibodies or NS1 antigen against dengue virus during the period from 1 January 2014 to 31 December 2017 and among them 60,096 (28.4%) were found to be positive. Kulldorff's space time analysis was used to identify significant clusters over space and time. Kriging technique was used to interpolate dengue data for areas not physically sampled using the relationship in the spatial arrangement of the data set. Maps obtained using both the methods were overlaid to identify the regions at greater risk of developing the disease. RESULTS: Kulldorff Space time Scan Statistics using the Bernoulli model with monthly precision revealed eight statistically significant clusters (P <0.001) for the time period, 1 January 2014 to 31 December 2017. Eight significant clusters identified were districts of Nagpur, Jhunjhunu, Gadag, Dakshin Kannada, Kancheepuram, Sivaganga, Ernakulam and Malda. The purely temporal clusters occurred during the last quarter of 2015 and 2016. The Kriging technique identified north eastern part of the country (Arunachal Pradesh, Nagaland and Manipur) and Gujarat. INTERPRETATION & CONCLUSION: Dengue fever has spread in all directions in the country. Hence, it is need of the hour to perform an in-depth investigation.

National Burden Estimates of healthy life lost in India, 2017: an analysis using direct mortality data and indirect disability data.

BACKGROUND: Many countries, including India, seek locally constructed disease burden estimates comprising mortality and loss of health to aid priority setting for the prevention and treatment of diseases. We created the National Burden Estimates (NBE) to provide transparent and understandable disease burdens at the national and subnational levels, and to identify gaps in knowledge. METHODS: To calculate the NBE for India, we combined 2017 UN death totals with national and subnational mortality rates for 2010-17 and causes of death from 211 166 verbal autopsy interviews in the Indian Million Death Study for 2010-14. We calculated years of life lost (YLLs) and years lived with disability (YLDs) for 2017 using published YLD-YLL ratios from WHO Global Health Estimates. We grouped causes of death into 45 groups, including ill-defined deaths, and summed YLLs and YLDs to calculate disability-adjusted life-years (DALYs) for these causes in eight age groups covering rural and urban areas and 21 major states of India. FINDINGS: In 2017, there were about 9·7 million deaths and 486 million DALYs in India. About three quarters of deaths and DALYs occurred in rural areas. More than a third of national DALYs arose from communicable, maternal, perinatal, and nutritional disorders. DALY rates in rural areas were at least twice those of urban areas for perinatal and nutritional conditions, chronic respiratory diseases, diarrhoea, and fever of unknown origin. DALY rates for ischaemic heart disease were greater in urban areas. Injuries caused 11·4% of DALYs nationally. The top 15 conditions that accounted for the most DALYs were mostly those causing mortality (ischaemic heart disease, perinatal conditions, chronic respiratory diseases, diarrhoea, respiratory infections, cancer, stroke, road traffic accidents, tuberculosis, and liver and alcohol-related conditions), with disability mostly due to a few conditions (nutritional deficiencies, neuropsychiatric conditions, vision and other sensory loss, musculoskeletal disorders, and genitourinary diseases). Every condition that was common in one part of India was uncommon elsewhere, suggesting state-specific priorities for disease control. INTERPRETATION: The NBE method quantifies disease burden using transparent, intuitive, and reproducible methods. It provides a simple, locally operable tool to aid policy makers in priority setting in India and other low-income and middle-income countries. The NBE underlines the need for many more countries to collect nationally representative cause of death data, paired with focused surveys of disability. FUNDING: Ministry of Health and Family Welfare, Government of India.

Epidemiology of chikungunya based on laboratory surveillance data-India, 2016-2018.

BACKGROUND: We analysed the laboratory surveillance data generated by the network of virology laboratories from January 2016 to July 2018 to describe the epidemiology of chikungunya in India. METHODS: Suspected patients reporting to virology laboratories are investigated for the presence of immunoglobulin M (IgM) antibodies against chikungunya virus (CHIKV) as evidence of recent infection. We analysed the data to describe the distribution of seropositive individuals by time, place and demographic characteristics. RESULTS: Of the 49 380 sera tested from suspected patients, 20.5% were seropositive. CHIKV IgM positivity was seen throughout the year, with a peak between September and December. The laboratories diagnosed 28 outbreaks of chikungunya during the study period. CONCLUSIONS: Laboratory surveillance data indicate continued transmission of CHIKV in many regions of India.

Epidemiology of dengue fever in India, based on laboratory surveillance data, 2014-2017.

OBJECTIVES: The Indian Council of Medical Research and the Department of Health Research have established a network of Virus Research and Diagnostic Laboratories (VRDL) to strengthen laboratory capacity in India. We analyzed the data generated by the 52 VRDLs during 2014-2017 to describe the epidemiology of dengue fever (DF) in India. METHODS: As per the laboratory protocol, suspected DF patients reporting to various hospitals where VRDLs are located, or samples from suspected DF outbreaks are investigated for the presence of NS1 antigen or IgM antibodies against dengue. The data were analyzed to describe the distribution of DF by time (month and year), place (district and state) and person (age and sex) characteristics. RESULTS: Between 2014-2017, VRDLs investigated 211,432 suspected DF patients, 28.4% of whom were serologically confirmed. The median age of dengue positive patients was 25 years (IQR: 16-36). Dengue positivity was significantly higher among males. The mean monthly dengue positivity ranged from 7.7% to 37%, with higher positivity reported during September and October months. VRDLs provided diagnosis to 190 suspected outbreaks. CONCLUSIONS: The data from the VRDL network indicate dengue was the etiology in one-fourth of AFI cases. Dengue was the second commonest etiology of suspected outbreaks diagnosed by VRDLs.

Epidemiology of Hepatitis A and Hepatitis E Based on Laboratory Surveillance Data-India, 2014-2017.

Hepatitis A and hepatitis E viruses (HAV and HEV) are the most common etiologies of viral hepatitis in India. To better understand the epidemiology of these infections, laboratory surveillance data generated during 2014-2017, by a network of 51 virology laboratories, were analyzed. Among 24,000 patients tested for both HAV and HEV, 3,017 (12.6%) tested positive for HAV, 3,865 (16.1%) for HEV, and 320 (1.3%) for both HAV and HEV. Most (74.6%) HAV patients were aged ≤ 19 years, whereas 76.9% of HEV patients were aged ≥ 20 years. These laboratories diagnosed 12 HAV and 31 HEV clusters, highlighting the need for provision of safe drinking water and improvements in sanitation. Further expansion of the laboratory network and continued surveillance will provide data necessary for informed decision-making regarding introduction of hepatitis-A vaccine into the immunization program.

The prevalence of disability in elderly in India - Analysis of 2011 census data.

BACKGROUND: Advancing age leads to physical and sensory impairment with varying degrees of disability. There is lack of publication focusing on disability of elderly in India with a countrywide state-based analysis of all types of disabilities. OBJECTIVE: To measure the prevalence of disability and describe the types of disability in the elderly Indian population by gender, advancing age, states and geographical regions. METHODS: The 2011 Census cross-sectional survey data restricted to elderly in India was analyzed. 'Elderly' is defined as a person who is of age 60 years or above. Disability rates per 100,000 elderly population and age-adjusted disability rates were calculated. RESULTS: A total of 5,376,205 elderly individuals were disabled in India in 2011; disability rate of 5178 per 100,000 elderly population. Movement and seeing disabilities individually accounted for 25% of total disabilities and disability in hearing was 19%. Disability rates in 17 Indian States and Union Territories were above the national average. Disability rates increased as age advanced with the highest disability rate of 8409 per 100,000 among people aged 80 yrs or above. The disability rates were higher in males than females (5314 vs. 5045 per 100,000) and in rural compared to urban areas (5593 vs. 4181 per 100,000). Currently married and working populations had lower disability rates. CONCLUSION: One in every twenty Indian citizens aged 60 yrs and above is either physically or mentally disabled. Identification of the underlying causes, employing effective and focused preventive strategies will help to reduce the prevalence of disability in the elderly.

Spatial and temporal trends in new case detection of leprosy in India.

Background: India achieved the goal of 'leprosy elimination' by reducing the burden of leprosy to less than one case per 10,000 inhabitants in 2005. Sustained and committed efforts by national programmes have led to a decline in the burden of leprosy to a great extent. Purpose: To examine the spatial clustering of leprosy case detection and spatiotemporal trend using Bayesian space period model. Materials: The National Leprosy Eradication Programme (NLEP) data of annual new case detection of leprosy in 34 districts of Maharashtra for eight data years 2007­08 to 2014­15. Methods: The presence of spatial dependency was assessed using the case detection rate for each of the eight data years spanning from 2007­2015 using Moran's I statistic and the variation over space and time was modeled using the Bayesian Space Period model. Results: The Moran's I value was found to be statistically significant for each of the time period. The period effect was significantly higher than the average in the year 2007(4%), 2009(5%), 2011(6%), 2013(18%) and significantly lower than the average in 2008(7%), 2010(4%), 2012(11%), 2014(9%). The spatial effects varied between 0·579 and 1·52. There was a higher risk of leprosy (50% or more) found in districts of Garhchiroli, Raigad and Warda. The lowest risk of 0·579 was observed in the Nagpur district. Conclusion: The period effect of new case detection of leprosy using the SP model, measured in terms of relative risk shows a seesaw effect at work in districts of Maharashtra. The alternate jump in the risk of leprosy given by the model could be the actual scenario or due to expended activities in the study area. Further in depth investigation needed to ascertain the facts. Observing the spatial Bayesian effect districts Garhchiroli, Raigad and Warda are at greater risk and need priority care.

Cholera outbreak linked with lack of safe water supply following a tropical cyclone in Pondicherry, India, 2012.

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.