Neonatal, Infant, and Child Mortality in India: Progress and Future Directions.

In India, considerable progress has been made in reducing child mortality rates. Despite this achievement, wide disparities persist across and socio-economic strata, and persistent challenges, such as malnutrition, poor sanitation, and lack of clean water. This paper provides a comprehensive review of the state of child health in India, examining key risk factors and causes of child mortality, assessing the coverage of child health interventions, and highlighting critical public health programs and policies. The authors also discuss future directions and recommendations for bolstering ongoing efforts to improve child health. These include state- and region-specific interventions, prioritizing social determinants of health, strengthening data systems, leveraging existing programs like the National Health Mission (NHM) and Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY), and the proposed Public Health Management Cadre (PHMC). The authors argue that reducing child mortality requires not only scaled-up interventions but a comprehensive approach that addresses all dimensions of health, from social determinants to system strengthening.

Impact of Nonpharmacological Public Health Interventions on Epidemiological Parameters of COVID-19 Pandemic in India.

Background Public health interventions are epidemiologically sound and cost-effective methods to control disease burden. Non-pharmacological public health interventions are the only mode to control diseases in the absence of medication. Objective To find the impact of public health interventions on the epidemiological indicators of disease progression. Methods This is a secondary data analysis done on COVID-19 data. The median doubling time and R0 were calculated for a rolling period of seven days. Interventions were scored from zero to three with an increasing level of stringency. Multivariate linear regression was performed to find the role of individual interventions on R0 and the median doubling time. Results The highest intervention score was reported in the lockdown phase, which gradually decreased to the lowest level of 22. The R0 values settled to a level of 1.25, and the median doubling time increased to 20 days at the end of the study. Public awareness and public health laws were found to be related to both R0 and the median doubling time in the pre-lockdown phase only. Conclusion The implementation of interventions at the ground level is one of the key factors in the success of public health interventions. Post implementation, poor effectiveness of many interventions is evident from the study. Further, studies related to the sequence of interventions are required to further analyze the poor effect of the interventions.

COVID-19 pandemic in India: A Comparison of pandemic pattern in Selected States.

The COVID-19 pandemic currently expanded its roots to the 206 countries in the world. The morbidity and mortality are not only threat to humans but also its impact on economy is indirectly affecting us. The current review was done to find trend in various states of India. Data was collected from Ministry of Health and Family Welfare and descriptive analysis of the distribution of COVID-19 cases in different states of India. First case of COVID-19 was diagnosed in southernmost state Kerala and after that it has spread to all other states, but situations are more worsen in states with high international migration. Maharashtra is now the most affected state followed by Delhi. Among epidemic curve of all these states, Maharashtra has rapidly growing epidemic curve with highest slope, whereas Kerala has the lowest. When we compared the day wise cumulative case fatality rate, it was found that the case fatality rate of the states like Maharashtra, Madhya Pradesh & Rajasthan showed decrease in the case fatality rate over the period. Population density is also one of the key determinants of social interaction and thus the spread of disease specifically in communicable diseases. Government of India had taken many strong initiatives e.g. 40 days nation-wide lockdown, thermal screening at airport, announcement of relief packages for poor and quarantine of outsiders but still there are many missed opportunities like, early stoppage of international traffic, compulsory quarantine for all international travellers, better contact tracing, strong law and order and better preparedness plan.

A study of morbidity pattern among iron and steel workers from an industry in central India.

BACKGROUND: Iron is the world's most commonly used metal and can usually be found with other elements in the form of steel. In this era of machines, it is the inevitable part in production of various materials like eyeglass frames, jet aircraft, the space shuttle, automobiles, and surgical instruments. Occupational factors make an important contribution to the global burden of disease, but the reliable data on occupational disease are much more difficult to obtain. Hence, the current study was carried out to find out the morbidity pattern among iron and steel workers. MATERIALS AND METHODS: A cross-sectional study. was carried out after obtaining permission from Institutional Ethics Committee in an iron and steel factory. Worker's detailed information regarding profile was taken in pretested questionnaire format after obtaining the informed written consent and explaining the purpose of study. Workers were also interviewed regarding their years of job, job satisfaction, usage of protective devices, and history of injuries during work. Worker's detailed general and systemic examination was conducted. RESULTS: The overall prevalence of morbidities among the workers was 60%. It was observed that commonest morbidity in the workers was lumbago (musculoskeletal pain), that is, 33.25%which was more in Group B (49.73%) than Group A (18.78%), followed by occupational dermatitis (27%) which more common in Group A (33.33%) than Group B (19.79%). It was seen that occupation-related morbidities were more prevalent in Group A, i.e. Exposed group (P < 0.001). CONCLUSION: It was observed that occupation-related morbidities were more common in exposed group (EG) than that of nonexposed group (NEG) and the difference was found to be statistically significant (P < 0.001).