Background: World population ageing is enduring, the proportion of older persons has been rising steadily, from 7 per cent in 1950 to 11 per cent in 2007, with an expected rise to reach 22 percent in 2050. Globally the population of older persons is growing at a rate of 2.6 per cent per year, considerably faster than the population as a whole which is increasing at 1.1 percent annually. The issue of health care-seeking (or medical-care) behaviour is crucial to all society. Objective: To know the Socio-demographic distribution of elderly population in rural area, observe the Health seeking behaviour of the rural elderly and to know the available health care services in rural area of Uttar Pradesh. Materials and Methods:A community based Cross sectional study was conducted from October 2010 to June 2011. Persons aged 60 years and above were selected by multistage random sampling. The minimum Sample size of 400 was calculated using formula 4pq/d2 and finally a total of 411 individuals were studied. The data was analyzed by means, proportions and Chi-square test, p value less than 0.05(p<0.05) at 95% confidence interval, was consider for significant, SPSS Version 12 Statistical Software was used to analyze the data. Results: Out of the 411 elderly persons, 214 (52.1%) were males and 197(47.9%) were females. Mean age for the entire study population was 69.2 years with a standard deviation of 7.8 years. Majority of the elderly population were illiterate (70.1%). Higher proportion of females was illiterate (92.4%) as compared to males (49.5%). Among the 411 elderly persons, 188 (45.7%) sought treatment from private practitioner and private hospital, 133 (32.3%) from non registered practitioner (Quack), only 77 (18.9%) sought treatment from Government hospital and remaining 13 (3.1%) used home remedies or sought help from traditional healers. Conclusion: Majority of the geriatric subjects were in the age group of 60 to 69 years. Awareness must be generated among the elderly regarding the problems related to the ageing, strict implementation of legislation on parents' care by their children and Promotion of income.

This study was planned to estimate the proportion of confirmed multi-drug resistance pulmonary tuberculosis (TB) cases out of the presumptive cases referred to DTC (District Tuberculosis Center) Jodhpur for diagnosis; to identify clinical and socio-demographic risk factors associated with the multidrug-resistant pulmonary TB and to assess the spatial distribution to find out clustering and pattern in the distribution of pulmonary TB with the help of Geographic Information System (GIS). In the Jodhpur district, 150 confirmed pulmonary multi-drug resistant tuberculosis (MDR-TB) cases, diagnosed by probe-based molecular drug susceptibility testing method and categorized as MDR in DTC's register (District Tuberculosis Center), were taken. Simultaneously, 300 control of confirmed non-MDR or drug-sensitive pulmonary TB patients were taken. Statistical analysis was done with logistic regression. In addition, for spatial analysis, secondary data from 2013-17 was analyzed using Global Moran's I and Getis and Ordi (Gi*) statistics. In 2012-18, a total of 12563 CBNAAT (Cartridge-based nucleic acid amplification test) were performed. 2898 (23%) showed M. TB positive but rifampicin sensitive, and 590 (4.7%) showed rifampicin resistant. Independent risk factors for MDR TB were ≤60 years age (AOR 3.0, CI 1.3-7.1); male gender (AOR 3.4, CI 1.8-6.7); overcrowding (AOR 1.6, CI 1.0-2.7); using chulha (smoke appliance) for cooking (AOR 2.5, CI 1.2-4.9), past TB treatment (AOR 5.7, CI 2.9-11.3) and past contact with MDR patient (AOR 10.7, CI 3.7-31.2). All four urban TUs (Tuberculosis Units) had the highest proportion of drug-resistant pulmonary TB. There was no statistically significant clustering, and the pattern of cases was primarily random. Most of the hotspots generated were present near the administrative boundaries of TUs, and the new ones mostly appeared in the area near the previous hotspots. A random pattern seen in cluster analysis supports the universal drug testing policy of India. Hotspot analysis helps cross administrative border initiatives with targeted active case finding and proper follow-up.

The article shows the epizootic situation for three periods (decades): from 1990 to 1999, from 2000 to 2009 and from 2010 to 2019. As a result of the studies, it has been established that since 1990, the 26 sporadic outbreaks of anthrax have occurred in the territory of the republic, 13 of them in territories where the disease was not previously recorded, which indicates the spread of the pathogen in the environment. Due to the special situation of anthrax, which consists of a large number of unidentified anthrax cattle burial grounds, as well as high density and activity of dysfunctional sites, the republican veterinary service recommended vaccinating an adult cattle population twice a year with an interval of 6 months: in spring and autumn, to create the maximum percentage of immune animals. In addition, a method has been introduced in the republic for assessing specific prophylaxis of anthrax, based on the detection of specific antibodies in the blood serum of an immunized livestock by an indirect hemagglutination test. This method allows the detection of animals that were skipped during vaccination and tolerant animals. Thanks to the joint work of veterinarians and scientists who improved the specific scheme for the prevention of anthrax, the republic managed to reduce the number of outbreaks of infection by 15 times, which allows us to predict further improvement in the epizootic situation for this infection.

Background Nearly half of population with Diabetes and Hypertension is estimated to be undetected in India. The objectives of this study were to conduct opportunistic screening for Diabetes and Hypertension coming to OPD of health centres under Department of Community Medicine and Family Medicine, AIIMS Jodhpur, India and to develop the models for prediction of Diabetes and Hypertension. Methods Time bound study was conducted at three rural health centres between 2018-19. A total of 942 patients aged ≥30 years were screened. Data was recorded using Epicollect5. Risk assessment was done by using Indian Diabetes risk score (IDRS), Community based assessment checklist (CBAC), Waist Hip Ratio, & BMI. Random and fasting capillary blood sugar and BP was measured. Results The mean age of the participants was 52.4 ± 13.5 years. As much as 446 (47.4%) had IDRS score of ≥ 60 and 276 (29.3%) had CBAC score of ≥ 4. RBS level of ≥ 140mg/dl was found among 223 participants, of these, 42.5% were diagnosed to be diabetic on FBS. One-fourth (25.6%) were estimated to be hypertensive. Physical activity and hypertension were best predicting the diabetes (r2= 90.8), while hypertension was best predicted by age and BMI (r2= 74.3). Conclusions Prevalence of diabetes and hypertension was in accordance with the reported prevalence in the country. As compared to existing models, less number of prediction variables were identified for NCDs. Key messages The study highlights the need for implementation of hospital based opportunistic screening and point out the necessity to revise the existing prediction models for NCDs.