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Bluetongue (BT) disease poses a constant risk to the livestock population around the world. A better understanding of the risk factors will enable a more accurate prediction of the place and time of high-risk events. Mapping the disease epizootics over a period in a particular geographic area will identify the spatial distribution of disease occurrence. A Geographical Information System (GIS) based methodology to analyze the relationship between bluetongue epizootics and spatial-temporal patterns was used for the years 2000 to 2015 in sheep of Andhra Pradesh, India. Autocorrelation (ACF), partial autocorrelation (PACF), and cross-correlation (CCF) analyses were carried out to find the self-dependency between BT epizootics and their dependencies on environmental factors and livestock population. The association with climatic or remote sensing variables at different months lag, including wind speed, temperature, rainfall, relative humidity, normalized difference vegetation index (NDVI), normalized difference water index (NDWI), land surface temperature (LST), was also examined. The ACFPACF of BT epizootics with its lag showed a significant positive autocorrelation with a month's lag (r = 0.41). Cross-correlations between the environmental variables and BT epizootics indicated the significant positive correlations at 0, 1, and 2 month's lag of rainfall, relative humidity, normalized difference water index (NDWI), and normalized difference vegetation index (NDVI). Spatial autocorrelation analysis estimated the univariate global Moran's I value of 0.21. Meanwhile, the local Moran's I value for the year 2000 (r = 0.32) showed a high degree of spatial autocorrelation. The spatial autocorrelation analysis revealed that the BT epizootics in sheep are having considerable spatial association among the outbreaks in nearby districts, and have to be taken care of while making any forecasting or disease prediction with other risk factors.

Background: A nationwide lockdown in response to the ongoing coronavirus disease 2019 pandemic has disrupted various health surveys. Limited movements due to restricted public-transports, and the need to maintain social-distancing, make data collection at the field site through conventional methods such as face-to-face interviews challenging. Objectives: The objective of the study was to overcome such issues, we document a complete online survey, using mobile technologies, for public health research, and deployable during disasters. Methods: The survey form was uploaded online, and for the 1st time in India, the participant information page, consent, and assent forms were also deployed online. Informed consent forms from participants were captured electronically as hand-drawn signatures. A structured, electronic-questionnaire was shared to the participants’ smartphones, and the collected data were stored in a server using Research Electronic Data Capture, real-time. Results: Within a short span of 10 days, 1985 participants from 31 states and union territories took part in the survey. Among those, 79% had completed the survey, and the rest quit the survey mostly during the “consenting” phase, especially when they were asked to sign the consent/assent forms (16%). About 62.5% of the participant graded the online survey as “much better” followed by 19.5% suggesting “somewhat better,” indicating a positive public perception regarding the online survey. Conclusion: The real-time online survey in health research was perceived to be better than the conventional method. In the digital era, employing mHealth technologies in health research will be a cost-effective methodological approach to obtain the expected research outcome, in a resource and time-limited setting.

Female sex workers (FSWs) who inject drugs (FSW-IDs) have a higher risk of HIV infection and transmission. Understanding the socio-demographic characteristics and other risk behaviours among FSW-IDs will help in strengthening targeted interventions for HIV prevention and management. In the present study, the HIV prevalence, associated socio-demographic characteristics and risk behaviours among FSWs who injected drugs (FSW-IDs) and those who did not ID (FSW-NIDs) was determined in India.The national cross-sectional, community-based, integrated biological and behavioural surveillance was conducted in 2014-2015 at 73 randomly selected FSW domains across 28 States and Union Territories in India. The sample size was fixed at 400 for each domain, and a probability-based sampling method was followed. The data were analyzed by logistic regression methods.Data from 27,007 FSWs were included in the analysis, of which 802 (3%) were FSW-IDs. HIV prevalence among FSW-IDs was significantly higher than that in FSW-NIDs (4.5 vs. 1.9%). Univariate analysis showed that factors significantly associated with higher HIV prevalence among FSW-IDs were older age, sex work as the only source of income, dissolved marriage, living with a sex worker, urban locality of sex work and consumption of alcohol or oral drugs. In multivariable analysis, factors such as older age of FSW-IDs (35 yr and above), having a dissolved marriage and sex work being the only source of income were observed to be independently and significantly associated with higher HIV prevalence.Scaling up the HIV preventive interventions for FSW-IDs, such as facilitating awareness and improved access to needle and syringe exchange programme (NSEP) and opioid substitution therapy (OST), encouraging safe sex and injecting practices, educating on the harmful effects of alcohol and drugs and providing alternative vocation options to secure their financial needs are several strategies that may reduce HIV transmission among FSWs.

This study describes the spatial and temporal patterns of bluetongue (BT) outbreaks with environmental factors in undivided Andhra Pradesh, India. Descriptive analysis of the reported BT outbreaks (n = 2,697) in the study period (2000-2017) revealed a higher frequency of outbreaks during monsoon and post-monsoon months. Correlation analysis of Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), rainfall and relative humidity (RH) displayed a significant positive correlation with BT outbreaks (p < .05). Retrospective unadjusted space-time, adjusted temporal and spatial analysis detected two, five and two statistically significant (p < .05) clusters, respectively. Time series distribution lag analysis examined the temporal patterns of BT outbreaks with environmental, biophysical factors and estimated that a decrease in 1 unit of rainfall (mm) was associated with 0.2% increase in the outbreak at lag 12 months. Similarly, a 1°C increase in land surface temperature (LST) was associated with 6.54% increase in the outbreaks at lag 12 months. However, an increase in 1 unit of wind speed (m/s) was associated with a 16% decrease in the outbreak at lag 10 months. The predictive model indicated that the peak of BT outbreaks were from October to December, the post-monsoon season in Andhra Pradesh region. The findings suggest that environmental factors influence BT outbreaks, and due to changes in climatic conditions, we may notice higher numbers of BT outbreaks in the coming years. The knowledge of spatial and temporal clustering of BT outbreaks may assist in adopting proper measures to prevent and control the BT spread.

People who inject drugs (PWID) are India's third-largest vulnerable population to human immunodeficiency virus (HIV) infection. PWID in India are confined to certain geographic locations and exhibit varying injecting and sexual risk behaviors, contributing considerably to increasing HIV trends in specific regions. Spatial heterogeneity in risk factors among vulnerable PWID influences HIV prevalence, transmission dynamics, and disease management. Stratified analysis of HIV prevalence based on risk behaviors and geographic locations of PWID will be instrumental in strategic interventions. To stratify the male PWID based on their risk behaviors in each state and determine the HIV prevalence for each stratum. The behavioral data and HIV prevalence of the national integrated biological and behavioural surveillance (IBBS), a nationwide cross-sectional community-based study conducted in 2014 to 2015, was analyzed. Data from 19,902 men who inject drugs across 53 domains in 29 states of India were included. Women who inject drugs were excluded at the time of IBBS, and hence PWID in this study refers to only men who inject drugs. PWID were categorized based on their risk profile, and the corresponding HIV prevalence for each state was determined. HIV prevalence was the highest (29.6%) in Uttar Pradesh, with a high prevalence of risk behaviors among PWID. High HIV prevalence ranging between 12.1% and 22.4% was observed in a few states in East and North-East India and most states in central and North India. Unsafe injecting and sexual practices were significantly (P .05) associated with higher HIV prevalence and more significantly in National Capital Territory of Delhi (P .001). Unsafe injecting practices among PWID were proportionally higher in Western and Central India, whereas unsafe sexual behaviors were widespread among most states. Unsafe sexual practices among male PWID were common. The high prevalence of unsafe injecting had significant HIV infection and transmission risks in Western and Central India. The results emphasize the need for stratified, region-specific interventions and combination approaches for harm reduction among PWID. Strengthening the measures that facilitate the reduction of high-risk behaviors, adoption of safe practices, and utilization of HIV services will positively impact HIV prevention measures among PWID.

Supplemental Digital Content is available in the text, HIV prevalence is higher among Men who have Sex with Men (MSM), owing to their unsafe sexual behavior. Further, MSM indulge in behaviors such as consumption of alcohol/oral drugs and/or injecting during/before sex that poses the risk of unsafe behaviors, thereby increasing their vulnerability to HIV. The study aims to analyze the factors associated with HIV infection among the multi-risk MSM using any substances with those MSM who do not use substances. Community-based cross-sectional survey design using probability-based sampling between October 2014 and November 2015. For the nation-wide Integrated Biological and Behavioral Surveillance (IBBS), 23,081 MSM were recruited from 4067 hotspots in 108 districts across India. Information on demographics, sexual behaviors, substance use, sexual partners, and awareness on HIV and its management was collected from the consented respondents using computer-assisted personal interview (CAPI) by trained personnel. Blood samples were tested for HIV. Statistical analyses were done, to study the associations between substance use and its influence on high-risk sexual behaviors and HIV infection. One in 3 MSM (33.88%) in India were substance users, thus exhibiting “multi-risk” (MR) behaviors. Significantly higher HIV prevalence (3.8%, P

Background: HIV/AIDS is a global public health issue and its transmission in a defined geographic region is influenced by the interplay of sociodemographic and behavioral factors. Better understanding of sociodemographic characteristics of HIV-positive individuals is required to prevent the spread of HIV among the general population. Objectives: The objective of the study was to find the association between HIV prevalence and sociodemographic characteristics of pregnant women aged 15–49 years attending the antenatal clinics (ANCs) in six Southern states of India. Methods: The data from the latest round of HIV sentinel surveillance, a cross-sectional study, conducted during January–March 2017 among ANC attendees were considered for this analysis. Blood samples along with other relevant information were collected from 98,634 pregnant women from 248 sites across the states. The association between HIV prevalence and sociodemographic variables was examined using multivariable logistic regression. Results: The highest HIV prevalence was reported in Karnataka (0.38%) and Andhra Pradesh (0.38%), followed by Telangana (0.33%), Odisha (0.28%), Tamil Nadu (0.27%), and Kerala (0.05%). In all states, the prevalence was highest among illiterate pregnant women exception being Kerala, wherein the prevalence was highest in pregnant women with schooling up to primary education. A significant association was found between HIV prevalence and spouse occupation in Karnataka and Odisha and spouse migration in Andhra Pradesh and Karnataka. Conclusions: Need for improvising the interventions for the young, illiterates, having a migrant spouse, and spouse occupation as truckers/hotel staff is recommended to the stakeholders involved in HIV management of the six southern states of India.