Bluetongue virus: Past, present, and future scope.

Bluetongue (BT), once considered a disease of sheep confined to the southern African region, has spread all over the world. BT is a viral disease caused by the bluetongue virus (BTV). BT is regarded as an economically important disease in ruminants of compulsory notification to OIE. BTV is transmitted by the bite of Culicoides species. Research over the years has led to a better understanding of the disease, the nature of the virus life cycle between ruminants and Culicoides species, and its distribution in different geographical regions. Advances have also been made in understanding the molecular structure and function of the virus, the biology of the Culicoides species, its ability to transmit the disease, and the persistence of the virus inside the Culicoides and the mammalian hosts. Global climate change has enabled the colonization of new habitats and the spread of the virus into additional species of the Culicoides vector. This review highlights some of the current findings on the status of BT in the world based on the latest research on disease aspects, virus-host-vector interactions, and the different diagnostic approaches and control strategies available for BTV.

Prevalence and factors associated with Anaemia in Married Women of Reproductive age group: Evidence from North East India.

The prevalence of anaemia and its continuous growth, especially among women, is a global health concern. The present study aims to examine the prevalence of anaemia and its determinants in the North Eastern region of India. The study used secondary data from the National Family Health Survey 2015-2016 on women of reproductive age group in India. The data were adjusted for sampling weight, stratification and cluster sampling design for analysis. Binary logistic regression and multivariable regression analysis were performed to determine factors associated with anaemia. Of the 65941 participants, 25993 (40%) had anaemia. High prevalence of mild or moderate anaemia was found among women with following socio-demographic characteristics: residing in the rural area (41.20%), having no education (43.07%), belonging to the low-income family (43.39%), having a well as source of drinking water (46.29%), using the traditional method of contraception (44.55%), underweight (42.18%) and those who had first delivery before 20 years of age (40.66%). Logistic regression (adjusted odds ratio) showed that women in the following categories were more likely to develop anaemia: in the age-group of 35-49 years, with no education, with poor wealth, having low nutrition levels; using traditional contraception and women who ate pulses or fish once a week. Alarming rates of anaemia (two in every five), found in the study, need effective strategies for fortification of iron supplement among women. Generation of mass awareness in this regard by utilizing the ongoing adolescent, maternal, child health and nutrition programmes will help in reducing the incidence of anaemia among women.

Gauging Class and Caste differences in Mortality: The Indian Experience.

This study is an exposition of class-caste based differences in mortality experience based on an indicator called household prevalence of death. It involves 75,432 death cases collected in National Family Health Survey-4, analysed using Relative Deprivation Index (RDI). We found, the prevalence of death found to be 11.8% in India, which varies across states and social and economic groups. The RDI values depict that the poorer households along with social group identities like schedule tribe and schedule caste households displayed a uniform disadvantage as regarding mortality across many states. The analysis offers evidence on differential experience of mortality across socio-economic identities. The evidence suggests poorer states having a marked disadvantage along with social and economic classes.

Does Empty Nest Elderly Experience More Depressive Symptoms than Non-Empty Nest Elderly? Evidence from Longitudinal Aging Study in India.

India experienced a growing burden of elderly population associated with both physical and mental health challenges. Among the mental health problems, dementia, depression, anxiety and sleep disorder are of significant concern. This present study investigates the association between the types of living arrangement and the mental health of elderly in India. Comparison has been done between empty nest and non-empty nest elderlies. Data from first wave of Longitudinal Aging Study in India (2017-18) has been used. It is a nationally representative data which collected data from over 72,000 individuals aged 45 and above and their spouses irrespective of age. We used the Center for Epidemiological Studies Depression Scale (CES-D) to measure depression while living arrangement was self-reported by the respondents. Univariate and multivariate analyses were carried out to find significant association of the outcome and independent variables. Among the total elderlies, 11% were from empty nest single households, 20% were from empty nest couple households and others were from the non-empty households. At national level, 30% elderly suffered from depression. It was more among the elderly of empty nest single households (43%), compared to elderly of empty nest couple households (30%) and non-empty nest households (28%). Gender, socio economic status, self-rated health status, financial stability, place of residence plays a crucial role in the experience of depression among the elderlies. Results portray that household structure, especially living arrangement and familial support in old age can be associated with the overall health and wellbeing, more specifically depressive symptoms among the elderly.

Unnatural death in India.

Rising adult mortality is an essential feature of the mortality transition. Vulnerability to disease and infection decreases with age, and adult mortality is more likely to be from unnatural causes such as suicide, homicide and road traffic accidents. This study aimed to assess the patterns of unnatural deaths in India as a whole and for various population subgroups. Data were obtained from the fourth wave of the National Family Health Survey (NFHS-4) conducted in 2015-16 in 29 states and 7 union territories of India. The survey collected information on deaths in households occurring in the 3 years before the survey. Rate of unnatural mortality and years of life lost were calculated separately for males and females as well as for urban and rural populations. Unnatural mortality in India was found to make up 10.3% of total deaths, and was greater among the population aged 10 to 45 years. The unnatural mortality rate in India was 0.67 per 1000 population: 0.84 per 1000 among the male population and 0.49 per 1000 among the female population. A strict positive association was found between the unnatural mortality rate and a state's development level. In addition, a substantial loss of person-years of life due to unnatural mortality was observed. The results serve as a reminder of the need to adopt measures to reduce this avoidable loss of life in India. Prevention strategies should be targeted at the most vulnerable populations to limit young-age fatality, with its resulting loss of productive years of life.

Malnutrition and poverty in India: does the use of public distribution system matter?

BACKGROUND: Large scale public investment in Public Distribution System (PDS) have aimed to reduce poverty and malnutrition in India. The PDS is the largest ever welfare programme which provides subsidised food grain to the poor households. This study attempt to examine the extent of stunting and underweight among the children from poor and non-poor households by use of public distribution system (PDS) in India. METHODS: Data from the National Family and Health Survey-4 (NFHS-4), was used for the analysis. A composite variable based on asset deprivation and possession of welfare card provided under PDS (BPL card), was computed for all households and categorised into four mutually exclusive groups, namely real poor, excluded poor, privileged non-poor and non-poor. Real poor are those economically poor and have a welfare card, excluded poor are those economically poor and do not have welfare card, privileged poor are those economically non-poor but have welfare card, and non-poor are those who are not economically poor and do not have welfare card. Estimates of stunting and underweight were provided by these four categories. Descriptive statistics and logistic regression were used for the analysis. RESULTS: About half of the children from each real poor and excluded poor, two-fifths among privileged non-poor and less than one-third among non-poor households were stunted in India. Controlling for socio-economic and demographic covariates, the adjusted odds ratio of being stunted among real poor was 1.42 [95% CI: 1.38, 1.46], 1.43 [95% CI: 1.39, 1.47], among excluded poor and 1.15 [95% CI: 1.12, 1.18], among privileged non-poor. The pattern was similar for underweight and held true in most of the states of India. CONCLUSIONS: Undernutrition among children from poor households those excluded from PDS is highest, and it warrants inclusion in PDS. Improving the quality of food grains and widening food basket in PDS is recommended for reduction in level of malnutrition in India.

Socio-demographic correlates of first dose of measles (MCV1) vaccination coverage in India.

BACKGROUND: Between 2010 and 2018, measles-related mortality had halved in India mainly with effective measles vaccination campaigns and widespread coverage across the states and population subgroups. Despite the commendable vaccination coverage, 2.9 million children in India missed the first dose of measles vaccine (MCV1) in 2017, and many of those vaccinated were not vaccinated at the recommended age (i.e. between 9 and 12 months). This study analyzed pattern and correlates of MCV1 coverage and MCV1 administration at recommended age among children aged 12-23 months in India. METHODS: We used the official data from the recent round of National Family Health Survey (NFHS-4), a nationally representative cross-sectional household survey in India conducted in 2015-16. Descriptive statistics and logistic regression analysis were applied to ascertain the influence of specified socio-demographic variables affecting measles vaccination coverage in India. RESULTS: The study revealed the distinct variations in coverage of MCV1 between the districts of India. There were also major challenges with age recommended vaccination, with about 15% of eligible children not vaccinated within the recommended age range, attributable to several socio-demographic factors. Significantly, antenatal care utilization of mothers strongly influenced MCV1 coverage and age recommended MCV1 coverage in India. The study also identified that children who missed MCV1 had one or more adverse health risks such as malnutrition, anemia and diarrhea disease. CONCLUSIONS: A socio-economic gradient exists in India's MCV1 coverage, mediated by antenatal visits, education of mothers, and highlighted socio-demographic factors. Infection with measles was significantly correlated with greater anthropometric deficits among the study cohort, indicating a wider range of benefits from preventing measles infection. Eliminating morbidity and mortality from measles in India is feasible, although it will require efficient expanded program on immunization management, enhanced health literacy among mothers, continuing commitment from central state and district political authorities.

Determinant of inequality in cesarean delivery in India: A decomposition analysis.

In India, Cesarean Section (CS) rate had got doubled in the last decade, with widespread diversity across the population subgroup. Hence, this study examined the pattern, inequality and driving correlates of CS in India. The attributes that shape the inequality in CS were private health facility, followed by the richest economic status, southern region, highest education level. A substantial rise in CS in private sectors and richer section raises the apprehension as to whether commercial motive of private providers contributes to the undue rise in CS that need not necessarily be genuine.

District level inequality in reproductive, maternal, neonatal and child health coverage in India.

BACKGROUND: As India already missed maternal and child health related millennium development goals, the maternal and child health outcomes are a matter of concern to achieve sustainable development goals (SDGs). This study is focused to assess the gap in coverage and inequality of various reproductive, maternal, neonatal and child health (RMNCH) indicators in 640 districts of India, using data from most recent round of National Family Health Survey. METHODS: A composite index named Coverage Gap Index (CGI) was calculated, as the weighted average of eight preventive maternal and child care interventions at different administrative levels. Bivariate and spatial analysis were used to understand the geographical diversity and spatial clustering in districts of India. A socio-economic development index (SDI) was also derived and used to assess the interlinkages between CGI and development. The ratio method was used to assess the socio-economic inequality in CGI and its component at the national level. RESULTS: The average national CGI was 26.23% with the lowest in Kerala (10.48%) and highest in Nagaland (55.07%). Almost half of the Indian districts had CGI above the national average and mainly concentrated in high focus states and north-eastern part. From the geospatial analysis of CGI, 122 districts formed hotspots and 164 districts were in cold spot. The poorest households had 2.5 times higher CGI in comparison to the richest households and rural households have 1.5 times higher CGI as compared to urban households. CONCLUSION: Evidence from the study suggests that many districts in India are lagging in terms of CGI and prioritize to achieve the desired level of maternal and child health outcomes. Efforts are needed to reduce the CGI among the poorest and rural resident which may curtail the inequality.

Out-of-pocket expenditure and correlates of caesarean births in public and private health centres in India.

Increasing caesarean births is a global trend and of recent origin in India. Besides its utility and disutility, increasing caesarean births exert higher economic burden on households and the nation. Using 148,746 births from the National Family Health Survey, 2015-16, this paper examines the correlates and provides comparable estimates of out of pocket expenditure (OOPE) on caesarean births in public and private health centres in India. The monthly state specific rural-urban consumer price index and the OOPE on births over seven years are used to derive comparable OOPE estimate at 2016 prices. A composite variable combining type of birth and place of delivery is computed and classified as private and caesarean, public and caesarean, private and non-caesarean, public and non-caesarean. Descriptive statistics, logistic and tobit regression model were used to understand the differentials and determinants of OOPE on caesarean births. Caesarean births were significantly higher among mothers belonging to higher socioeconomic status, first order births, mothers with high BMI, pregnancy complications, repeat caesarean and in private health centres confirming that both maternal demand and institutional factors are leading to the increasing in caesarean rates in India. The mean OOPE of caesarean births in public health centres of poorer states was higher than that in the richer states of India (US$107 in low performing states compared to US$88 in high performing states) while such differentials across private health centres are small. The marginal effect of a caesarean birth in private health centres in low performing states was US$296 dollar higher than that of non-caesarean births. Improving the public health centres for conducting caesarean births, developing standard guideline for clinical practices in conducting caesarean births and creating awareness on comprehensive pregnancy care can reduce the caesarean rates and OOPE on caesarean birth in India.

PROGRESS AND PROSPECTS OF HEALTH-RELATED SUSTAINABLE DEVELOPMENT GOALS IN INDIA.

The Sustainable Development Goals (SDGs) are increasingly being used to measure developmental progress among and within countries. Achieving the health-related SDGs remains a primary concern of many developing countries. This study measured the progress in selected health-related indicators of SDGs in the states of India by social and economic groups, and predicted their likely progress by 2030. The health indicators analysed included health outcomes, nutrition, health care utilization and determinants of health. Data from the Census of India, Sample Registration System (SRS), National Family and Health Surveys (NFHSs) and National Sample Survey Organization (NSSO) were used in the analysis. Annual rate of progress (ARP) and the required rate of progress (RRP) were computed for selected indicators over the period 2005-06 to 2015-16. A Composite Index of Health (CIH) was used to understand the state of health of populations. The ARP was higher than the RRP in maternal care and reduction of under-five mortality, while ARP was lower than the RRP in undernutrition and sanitation. The ARP for health-related indicators showed a mixed pattern across religion and caste groups. The ARP for medical assistance at birth and immunization was highest among Scheduled Castes and that for reduction of under-five mortality was highest among Scheduled Tribes. The CIH was lowest in Uttar Pradesh (0.26) and highest in Goa (0.81). The association between the CIH and the Human Development Index (HDI) was significant, suggesting interlinkage between health and development. Notable improvements were observed in maternal and child health and maternal health care utilization across social groups in India over the period 2005-06 to 2015-16, and if the trends continue the country can achieve the SDG target in maternal health by 2030. However, progress in nutrition and other health indicators has been slow and uneven.