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Modified BG Prasad socioeconomic scale is widely used to determine the socioeconomic status of study subjects in health studies in India. It is an income-based scale and, therefore, has to be constantly updated to take inflation and depreciation of rupee into account. The Consumer Price Index (CPI) for industrial workers (IW) is used to calculate updated income categories for January 2014. Details of the calculations involved will enable young researchers to calculate specific income categories for their research work. State-specific CPI values are also available on the Department of Labour website and should be used to determine more accurate income categories for the study area.

Background. Malaria still remains a public health problem in developing countries and changing environmental and climatic factors pose the biggest challenge in fighting against the scourge of malaria. Therefore, the study was designed to forecast malaria cases using climatic factors as predictors in Delhi, India. Methods. The total number of monthly cases of malaria slide positives occurring from January 2006 to December 2013 was taken from the register maintained at the malaria clinic at Rural Health Training Centre (RHTC), Najafgarh, Delhi. Climatic data of monthly mean rainfall, relative humidity, and mean maximum temperature were taken from Regional Meteorological Centre, Delhi. Expert modeler of SPSS ver. 21 was used for analyzing the time series data. Results. Autoregressive integrated moving average, ARIMA (0,1,1) (0,1,0)12, was the best fit model and it could explain 72.5% variability in the time series data. Rainfall (P value = 0.004) and relative humidity (P value = 0.001) were found to be significant predictors for malaria transmission in the study area. Seasonal adjusted factor (SAF) for malaria cases shows peak during the months of August and September. Conclusion. ARIMA models of time series analysis is a simple and reliable tool for producing reliable forecasts for malaria in Delhi, India.

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As the COVID-19 pandemic marches exponentially, epidemiological data is of high importance to analyse the current situation and guide intervention strategies. This study analyses the epidemiological data of COVID-19 from 17 countries, representing 85 per cent of the total cases within first 90 days of lockdown in Wuhan, China. It follows a population-level observational study design and includes countries with 20,000 cases (or higher) as of 21 April 2020. We sourced the data for these 17 countries from worldometers. info, a digital platform being used by several media and reputed academic institutions worldwide. We calculated the prevalence, incidence, case fatality rate and trends in the epidemiology of COVID-19, and its correlation with population density, urbanisation and elderly population. The analysis represents 85 per cent ( N = 2,183,661) of all cases within the first 90 days of the pandemic. Across the analysed period, the burden of the pandemic primarily focused on high- and middle-income countries of Asia, Europe and North America. While the total number of cases and deaths are highest in USA, the prevalence, incidence and case fatality rates are higher in the European countries. The prevalence and incidence vary widely among countries included in the analysis, and the number of cases per million and the case fatality rate are correlated with the proportion of the elderly population and to a lesser extent with the proportion of the urban population.

INTRODUCTION: Adolescence is characterized by a rapid phase of growth and development during which the requirement of nutrition and micronutrients is relatively high. Although there is a decreasing trend in the prevalence of undernutrition among adolescents, the current prevalence of undernutrition is still very high (41.9%). Adolescents with good nutrition knowledge are more likely to follow healthy eating habits. In the light of this, the current study was planned to assess the baseline nutrition-related knowledge of adolescent girls and the effectiveness of nutrition education material (flipchart) in increasing their nutrition-related knowledge. MATERIALS AND METHODS: A school-based interventional study was conducted among adolescent girls of class 9 th of a school in an urban slum of Delhi. A structured pretested Knowledge Assessment Questionnaire consisting of 10 multiple-choice questions in Hindi with a maximum score of 10 was used. The intervention was a nutrition education session conducted by doctors of Community Health department using specially designed flipcharts covering important aspects of nutrition relevant for adolescent girls. A demonstration of food items and charts and flex material was also given. The total sample size was 265 adolescent girls. RESULTS: Baseline knowledge as assessed by mean pretest score was poor (3.698 ± 1.81). The students’ baseline knowledge was significantly associated with mother's educational status ( P = 0.024). There was a significant increase (mean difference was 1.7890 ± 0.1434) in the nutrition-related knowledge of the participants after the intervention ( P < 0.001). The proportion of students who improved, i.e., 147 (55.47%) was more than proportion who deteriorated (25 [9.43%]) after the educational session. This difference was found to be statistically significant ( P ≤ 0.001). CONCLUSION: Nutrition knowledge was found poor among school-going adolescent girls, which significantly improved after the nutrition education session.

The study concludes that developmental delay is present in a sizable proportion of children <5 years of age and may be a significant factor in the overall achievement of life's potential in them.

Introduction: Undernutrition is continuing to be a major public health problem in India. Moreover, India houses more than 30% of the world's stunted children aged under 5 years. There was a paucity of a community-based cross-sectional study on the nutrition of children aged under 5 years in urban Delhi. Therefore, we conducted this study to assess the prevalence of undernutrition and their associated factors in children aged under 5 years in urban South Delhi. Materials and Methods: A cross-sectional community-based study was conducted in the Mehrauli area of South Delhi with a semi-structured questionnaire. Systematic random sampling without replacement was implemented. Informed written consent was sought from the parents of participants. Questions were asked regarding demography and sociocultural factors of the participants. Anthropometry measurements were obtained. Underweight and stunting were defined using WHO child growth standards 2006. Results: A total of 520 participants in 695 houses were contacted and interviewed. Prevalence of underweight and stunting were 34.0% and 42.6%, respectively. Sociocultural factors, associated with underweight and stunting, found in current study were fathers' education (with both, P value < 0.05), mothers' education (with both, P value < 0.05), poverty status (with both, P value <0.05), overcrowding (stunting only, P value <0.05), fathers' alcohol abuse (with both, P value < 0.05) and exclusive breastfeeding for 6 months (stunting only, P value <0.05). Results: A total of 520 participants in 695 houses were contacted and interviewed. Prevalence of underweight and stunting were 34.0% and 42.6%, respectively. Sociocultural factors, associated with underweight and stunting, found in current study were fathers' education (with both, P value < 0.05), mothers' education (with both, P value < 0.05), poverty status (with both, P value <0.05), overcrowding (stunting only, P value <0.05), fathers' alcohol abuse (with both, P value < 0.05) and exclusive breastfeeding for 6 months (stunting only, P value <0.05). Conclusions: There was a very high prevalence of underweight (34.0%) and stunting (42.6%) in children under 5 years age in Mehrauli.