Influence of socio-demographic and environmental factors on child mortality in India

Background: According to National Family Health Survey (NFHS) report (round 5), under five child mortality rate is 42 per 1000 live births which is far behind the sustainable development goal and National Health Policy, 2017. This research work aims to investigate the socio-demographic and environmental risk factors associated with child mortality between age 0-59 months in India. Methods: To analyse the objective of this study secondary data of NFHS round 5 are used. NFHS is a large scale, multi-rounds survey conducted by ministry of Health and Family Welfare (MoHFW) with the collaboration of International Institute for Population Sciences (IIPS), Mumbai. Cox regression model is used for the statistical analysis and the data analysis work is carried out using R software. Results: The research found that mortality rate is higher among mother’s age less than 20 years and mother’s having no education. In rural areas mortality rate is high compared to urban residence. Birth order of child more than 6 has 2.0966 times higher risk to die and the male child is more likely die than the female. Children born to family having richest wealth index (HR=0.6550, CI: 0.5856-0.7327) has the least mortality rate. Use of polluting cooking fuel and unimproved sanitation facility increase death risk on under-five mortality 1.1334 times and 1.0905 times respectively. Conclusions: The study found a strong influence of socio-demographic and environmental factors on child mortality under the age of five.

Behaviour, services and their future estimation towards nCOVID-19 patients in different waves of health care workers

Background: Health care workers (HCWs) presented frequent concerns regarding their health and their families health and high levels of psychological distress during nCOVID19 pandemic, we aimed to estimate towards the future services nCOVID-19 waves like 4th wave in India and their behavior, and services towards the nCOVID-19 Patients and whether HCWs are in more depression or anxiety level. Methods: We developed a questionnaire to study the HCWs. The questionnaire demography and data anxiety, depression behavior consists of 30 questions. Results: high-risk health care workers had elevated stress levels. We sent 200 questionnaires completed questionnaires were returned by 128 (64%) of the participants. Out of which 72 (36%) are incomplete or non-response data. Maximum age is from 30-35 male and 25-30, female age group. Highest number of male age groups from 30 to 35, 25 (37.31%), in case of female age groups from 25-30, 19 (31.15%). Overall, the number of Male 67 (52.34%) and female 61 (47.65%) of the study. From the above descriptive statistics gives that overall average age of female with standard deviation (29.98±6.38), and with overall male, average and standard deviation (32.27±6.60). Median age of female is 27 and Male is 30 years of age. By using the linear regression analysis, we predict the future behaviors and services for upcoming pandemic is very less anxiety and depression with (p<0.001) significant. Conclusions: In conclusion, our study highlights that HCWs are both female and male are predicted less depression and anxiety about the behavior and future pandemic services.