Child Vaccination Coverage in India and Its Impact: Evidence From NFHS-5 Factsheet

Background: In developing countries various childhood diseases lead the morbidity, mortality and irre-versible losses which can be prevented by proper vaccination. This study was conducted to analyse the changing trends of childhood vaccination in India and its impact on childhood diseases and mortality, the trends in coverage of each vaccine along with identification of geographical areas of concern.Materials and methods: NFHS data published by Government of India was analyzed to see the trends in vaccination coverage, female literacy, childhood diseases and under-five mortality, along with online da-tabase search for relevant literature. Results: Total vaccination coverage in India has reached to 76.4% as per NFHS- 5 data. Orissa stands at the top with 90.5% coverage while Nagaland at the bottom with 57.9% coverage. Prevalence of child-hood diseases and under-five mortality has reduced overtime accountable to increase in vaccination coverage as one of the major factors for same. Conclusion: Despite improvement in total vaccination coverage, the goal of Intensified Mission Indra Dhanush of 90% coverage still remains unachieved. There is reduction in childhood disease and mortali-ty rate, but the pandemic has adversely affected these advances. Therefore, immediate steps should be taken to gain the lost ground.

NCD Risk Factors in Different Administrative Divisions of West Bengal: An Insight Analysis from National Family Health Survey-5 Report

Introduction : This study was designed to find out the group mean prevalence of NCD risk factors in different administrative divisions of West Bengal (WB) and to explore the probable reasons of these differences in different indigenous habitat wise groups of districts of West Bengal. Methods : This descriptive study was conducted on available secondary data from National Family Health Survey- 5 (NFHS-5) regarding NCD risk factors. For this study, WB’s districts were divided into five administrative divisions namely Presidency, Medinipur, Burdwan, Malda and Jalpaiguri. Again WB State divided into three groups namely Jangalmahal (forest region), Pahar (Himalayan Hilly region) and “Rest of West Bengal” (ROW) on the basis of habitat of major indigenous people. Data are analyzed by Microsoft excel software in percentage and group mean. Results : Presidency (M: 20.6% versus F: 21.9%) with Medinipur (M: 20.3% versus F: 19%) divisions and Jangalmahal group of districts (M: 22.1% versus F: 16.5%) have higher group me n prevalence of high blood sugar in West Bengal. High group mean prevalence of high blood pressure was observed in Pahar (M: 26.6% versus F: 25.2%) group of districts and Jalpaiguri (M: 24.7% versus F:24%) division. The group mean prevalence of alcohol intake is very high in Jalpaiguri division (M: 25.2% versus F: 3%). The group mean prevalence of obesity (women aged 15-49 years) is increased from the last NFHS -4 survey. Conclusion : The group mean prevalence of alcohol intake and high blood pressure are very high in Pahar. The tobacco use related habit is comparatively high in Jangalmahal and Pahar group of districts. The group mean prevalence of high blood sugar is comparatively high in Jangalmahal and Presidency division areas.