Background: mHealth has potential to improve health care delivery but little is known about its effectiveness on health amongst marginalized communities. This study was carried out to determine the scope and usefulness of mHealth implementation in underprivileged slum population. Material and Methods: A cross-sectional study was carried out in an urban slum of Northern India where the government primary health care facility was digitized and mHealth component was integrated into the system to improve the health care service delivery. The survey was conducted using a pre-tested questionnaire among 921 persons who were sent SMSs within the last 2 months prior to survey to assess the reach and acceptability of mHealth in the underprivileged slum populations, and the role it can play to improve the healthcare services provided through primary health care facility. Results: In the surveyed population majority (59.8%) were young (18–30 years), females (79.3%), Hindu (94%) belonged to Scheduled caste (77.8%) and a significant percentage of them were illiterates (30%). Mobile phones were available with 87% of the surveyed population and more than 50% had smartphones. Though, only 59.5% of individuals confirmed the receipt of SMS, a very high proportion of survey population (98.3%) were willing to receive health-related SMS. About 72% individuals received SMSs and remembered the content of the message. Adherence to health advise sent through SMS was significantly higher among females (OR = 2.4 (95% CI: 1.2,5.1), P = 0.01), those who read messages themselves (OR = 1.9 (95% CI: 1.0, 3.3), P = 0.03), and who received SMS more than once in a month (OR = 2.2 (95% CI: 1.2, 4.2), P = 0.01). Majority of those who received SMS (83%) expressed that the health-related SMS were beneficial to them. Conclusion: mHealth has high potential to improve reach and increase accessibility of health care services for marginalized communities.

Introduction: Obesity may contribute to the initiation, progression, transmission, and deterioration of COVID-19. However, there was lack of such studies carried out by Indian workers. Materials and Methods: Data of cumulative cases of COVID-19 of various countries as on the day the peak incidence were reported in each country during the first and second waves of the pandemic was obtained from the internet. Data on prevalence of overweight were obtained by doing a thorough search of existing literature. The data so collected were tabulated and analyzed using SPSS version 20 to establish a correlation coefficient between overweight and COVID-19. Data pertaining to overweight status and age profile and COVID-19 status as on 28 Feb 2021 was collated as part of routine surveillance from the Health Department in an urban area. The total population for which the above data was obtained was 1107. The data so collected were subject to statistical analysis using SPSS version 20, to find out the odds ratio of overweight as a risk factor for COVID-19 after adjusting for age. Results: Correlation coefficient between overweight and COVID-19 for data pertaining to the first wave and the second wave 0.95 and 0.94, respectively. Odds ratio of overweight as a risk factor for COVID-19 after adjusting for age works out to 2.95 (95% confidence interval 2.30- 3.78). Mean age of the study subjects was 32.61 years (median 32 years, minimum 19 years, maximum 54 years, standard deviation 6.62). Limitations: The limitation of the present study is that the workers could only obtain retrospective data, carry out a case-control study and calculate odd ratio for overweight as a risk factor for COVID-19.