Damodar Sahu
Institute of Medical Sciences, Banaras Hindu University
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AIDS | 2008
Arvind Pandey; Sudhir Kumar Benara; Nandini Roy; Damodar Sahu; Mariamma Thomas; Dhirendra Kumar Joshi; Utpal Sengupta; Ramesh Paranjape; Aparajita Bhalla; Ajay Prakash
Objective:To report HIV and sexually transmitted infection (STI) prevalence and sexual behaviour of long-distance truckers on four national highway routes from a large, cross-sectional, national-level trucker survey in India. Methods:Seven trans-shipment locations covering the bulk of Indias transport volume along four routes, north-west (NW), north-south (NS), north-east (NE) and south-east (SE) were identified as survey sites. A total of 2066 long-distance truckers were selected using a two-stage, time–location cluster sampling approach and, after consent, interviewed about their sexual behaviour. Urine and blood sample were tested for selected STIs. Results:Overall, HIV prevalence among truckers was found to be 4.6%, with prevalence highest on the SE route (6.8%) and lowest on the NS (2.4%). Positive HSV-2 serology, which was tested in a 10% subsample, was low along three routes, 10.0%, 12.8% and 6.7% for the NE, NS and NW, respectively, but 38.7% in the SE. The truckers from the SE were found to be more likely to have sex with paid partners than the NE route. Moreover, truckers who owned their trucks were more likely than those who did not use condoms consistently with paid partners, and truckers who drive trucks owned by their relatives/friends are more likely than others to have any STI. Conclusions:Low self-risk perception for HIV (9.9%), low consistent condom use with non-paid partners (18.6%) and wives (3%), low reported exposure to any interventions (25.6%) and low levels of ever having taken an HIV test (16.5%) make truckers an important bridge population requiring strengthened interventions.
BMC Public Health | 2011
Arvind Pandey; Ram Manohar Mishra; Damodar Sahu; Sudhir Kumar Benara; Uttpal Sengupta; Ramesh Paranjape; Abhishek Gautam; Satya Ranjan Lenka; Rajatshurva Adhikary
BackgroundUsing data from two rounds of a cross-sectional, national-level survey of long-distance truck drivers, this paper examines the extent and trend of sexual risk behavior, prevalence of STI/HIV, and the linkage between exposure to HIV prevention programs and safe sex behavior.MethodsFollowing the time location cluster sampling approach, major transshipment locations covering the bulk of India’s transport volume along four routes, North-East (NE), North-South (NS), North-West (NW) and South-East (SE) were surveyed. First round of the survey was conducted in 2007 (sample size 2066) whereas the second round was undertaken in 2009-2010 (sample size 2085). Long distance truck drivers were interviewed about their sexual behaviors, condom use practices, exposure to different HIV prevention interventions, and tested for HIV, reactive syphilis serology, Neiserria gonorrhoeae and Chlamydia trachomatis. The key variable of this evaluation study - exposure to HIV prevention interventions was divided into three categories - no exposure, less intensive exposure and intensive exposure. Data were analyzed using multiple logistic regression methods to understand the relationship between risk behavior and exposure to intervention and between program exposure and condom use.ResultsThe proportion of truckers exposed to HIV prevention interventions has increased over time with much significant increase in the intensive exposure across all the four routes (NE: from 14.9% to 28%, P < 0.01; NS: from 20.9% to 38.1%; NW: 11.5% to 39.5%, P < 0.01; SE: 4.7% to 9.7%, P <0.05). Overall, the consistent condom use in sex with non-regular female partners too has increased over the time (paid female partners: from 67.1% to 73.2%, P <0.05; non-paid female partners: from 17.9% to 37.1%, P <0.05). At the aggregate level, the proportion tested HIV positive has declined from 3.2% to 2.5% in (p<0.10) and proportion tested positive for Syphilis too has reduced from 3.2% to 1.7% (p<0.05). Truckers who had sex with paid female partners (men at risk) were significantly more likely to get exposed to intensive program (aOR: 2.6, 95%CI 1.9-3.4) as compared to those who did not have sex with paid partners. Truckers who had sex with paid partners and exposed to intervention program were more likely to use condoms consistently (aOR: 2.1, 95% CI 1.2-3.7). The consistent condom use among respondents who travel through states with targeted interventions towards female sex workers was higher than those who travel through states with less intensive program among FSWs.ConclusionsThese evaluation study results highlight the ability of intensive program to reach truckers who have sex outside marriage with HIV prevention interventions and promote safe sex behaviors among them. Truckers who practice safe sex behaviors with an exposure to intensive program are less likely to suffer from STIs and HIV, which has implications for HIV prevention program with truckers’ population in India and elsewhere. The simultaneous targeted interventions among female sex workers appeared to have contributed to safe sexual practices among truckers.
Global Journal of Health Science | 2012
Ram Manohar Mishra; Madhulika Dube; Damodar Sahu; Niranjan Saggurti; Arvind Pandey
Background: Mumbai is one of the most populous and high HIV prevalence cities in India. It has witnessed substantial changes in HIV-risk behaviors and a decline in HIV prevalence among high-risk groups during the past decade. Aim: To examine the changing pattern in the number of new HIV infections by transmission routes in Mumbai during 2000-2017. Methods: We used the Asian Epidemic Model by dividing the adult population (aged 15 and above) into seven subgroups: brothel-based and non-brothel based female sex workers (FSWs), heterosexual clients of FSWs, men who have sex with men/transgendered people (MSM), injecting drug users (IDUs), general women and general men. The MSM subgroup included homosexual and bisexual men. Results: New HIV infections among adults reduced by 86% during 2000-2010. The highest decline was among FSWs and their heterosexual clients (95%-98%), followed by MSM (82%), general women (77%), IDUs (51%) and general men (42%). Most new HIV infections during 2011-2017 are expected to occur among general women (1666) and general men (977) followed by MSM (715). Bisexual men were estimated to contribute about 14% of the new HIV infections among general women in 2010 and this proportion was estimated to increase to 19% in 2017. Discussion: HIV prevention programs for MSM and the general population need to be strengthened. Ensuring early detection of HIV, and higher levels of consistent condom use by HIV-infected men and women are essential to prevent new HIV infections in future.
The Lancet | 2017
Shaza A. Fadel; Reeta Rasaily; Shally Awasthi; Rehana Begum; Robert E. Black; Hellen Gelband; Patrick Gerland; Rajesh Kumar; Li Liu; Colin Mathers; Shaun K. Morris; Saritha Nair; Leslie Newcombe; Arvind Pandey; Faujdar Ram; Usha Ram; Peter S Rodriguez; Damodar Sahu; Prabha Sati; Prakash J Shah; Anita Shet; Jay Sheth; Jitenkumar Singh; Lucky Singh; Anju Sinha; Wilson Suraweera; Prabhat Jha
Summary Background Documentation of the demographic and geographical details of changes in cause-specific neonatal (younger than 1 month) and 1–59-month mortality in India can guide further progress in reduction of child mortality. In this study we report the changes in cause-specific child mortality between 2000 and 2015 in India. Methods Since 2001, the Registrar General of India has implemented the Million Death Study (MDS) in 1·3 million homes in more than 7000 randomly selected areas of India. About 900 non-medical surveyors do structured verbal autopsies for deaths recorded in these homes. Each field report is assigned randomly to two of 404 trained physicians to classify the cause of death, with a standard process for resolution of disagreements. We combined the proportions of child deaths according to the MDS for 2001–13 with annual UN estimates of national births and deaths (partitioned across Indias states and rural or urban areas) for 2000–15. We calculated the annual percentage change in sex-specific and cause-specific mortality between 2000 and 2015 for neonates and 1–59-month-old children. Findings The MDS captured 52 252 deaths in neonates and 42 057 deaths at 1–59 months. Examining specific causes, the neonatal mortality rate from infection fell by 66% from 11·9 per 1000 livebirths in 2000 to 4·0 per 1000 livebirths in 2015 and the rate from birth asphyxia or trauma fell by 76% from 9·0 per 1000 livebirths in 2000 to 2·2 per 1000 livebirths in 2015. At 1–59 months, the mortality rate from pneumonia fell by 63% from 11·2 per 1000 livebirths in 2000 to 4·2 per 1000 livebirths in 2015 and the rate from diarrhoea fell by 66% from 9·4 per 1000 livebirths in 2000 to 3·2 per 1000 livebirths in 2015 (with narrowing girl–boy gaps). The neonatal tetanus mortality rate fell from 1·6 per 1000 livebirths in 2000 to less than 0·1 per 1000 livebirths in 2015 and the 1–59-month measles mortality rate fell from 3·3 per 1000 livebirths in 2000 to 0·3 per 1000 livebirths in 2015. By contrast, mortality rates for prematurity or low birthweight rose from 12·3 per 1000 livebirths in 2000 to 14·3 per 1000 livebirths in 2015, driven mostly by increases in term births with low birthweight in poorer states and rural areas. 29 million cumulative child deaths occurred from 2000 to 2015. The average annual decline in mortality rates from 2000 to 2015 was 3·3% for neonates and 5·4% for children aged 1–59 months. Annual declines from 2005 to 2015 (3·4% decline for neonatal mortality and 5·9% decline in 1–59-month mortality) were faster than were annual declines from 2000 to 2005 (3·2% decline for neonatal mortality and 4·5% decline in 1–59-month mortality). These faster declines indicate that India avoided about 1 million child deaths compared with continuation of the 2000–05 declines. Interpretation To meet the 2030 Sustainable Development Goals for child mortality, India will need to maintain the current trajectory of 1–59-month mortality and accelerate declines in neonatal mortality (to >5% annually) from 2015 onwards. Continued progress in reduction of child mortality due to pneumonia, diarrhoea, malaria, and measles at 1–59 months is feasible. Additional attention to low birthweight is required. Funding National Institutes of Health, Disease Control Priorities Network, Maternal and Child Epidemiology Estimation Group, and University of Toronto.BACKGROUND Documentation of the demographic and geographical details of changes in cause-specific neonatal (younger than 1 month) and 1-59-month mortality in India can guide further progress in reduction of child mortality. In this study we report the changes in cause-specific child mortality between 2000 and 2015 in India. METHODS Since 2001, the Registrar General of India has implemented the Million Death Study (MDS) in 1·3 million homes in more than 7000 randomly selected areas of India. About 900 non-medical surveyors do structured verbal autopsies for deaths recorded in these homes. Each field report is assigned randomly to two of 404 trained physicians to classify the cause of death, with a standard process for resolution of disagreements. We combined the proportions of child deaths according to the MDS for 2001-13 with annual UN estimates of national births and deaths (partitioned across Indias states and rural or urban areas) for 2000-15. We calculated the annual percentage change in sex-specific and cause-specific mortality between 2000 and 2015 for neonates and 1-59-month-old children. FINDINGS The MDS captured 52 252 deaths in neonates and 42 057 deaths at 1-59 months. Examining specific causes, the neonatal mortality rate from infection fell by 66% from 11·9 per 1000 livebirths in 2000 to 4·0 per 1000 livebirths in 2015 and the rate from birth asphyxia or trauma fell by 76% from 9·0 per 1000 livebirths in 2000 to 2·2 per 1000 livebirths in 2015. At 1-59 months, the mortality rate from pneumonia fell by 63% from 11·2 per 1000 livebirths in 2000 to 4·2 per 1000 livebirths in 2015 and the rate from diarrhoea fell by 66% from 9·4 per 1000 livebirths in 2000 to 3·2 per 1000 livebirths in 2015 (with narrowing girl-boy gaps). The neonatal tetanus mortality rate fell from 1·6 per 1000 livebirths in 2000 to less than 0·1 per 1000 livebirths in 2015 and the 1-59-month measles mortality rate fell from 3·3 per 1000 livebirths in 2000 to 0·3 per 1000 livebirths in 2015. By contrast, mortality rates for prematurity or low birthweight rose from 12·3 per 1000 livebirths in 2000 to 14·3 per 1000 livebirths in 2015, driven mostly by increases in term births with low birthweight in poorer states and rural areas. 29 million cumulative child deaths occurred from 2000 to 2015. The average annual decline in mortality rates from 2000 to 2015 was 3·3% for neonates and 5·4% for children aged 1-59 months. Annual declines from 2005 to 2015 (3·4% decline for neonatal mortality and 5·9% decline in 1-59-month mortality) were faster than were annual declines from 2000 to 2005 (3·2% decline for neonatal mortality and 4·5% decline in 1-59-month mortality). These faster declines indicate that India avoided about 1 million child deaths compared with continuation of the 2000-05 declines. INTERPRETATION To meet the 2030 Sustainable Development Goals for child mortality, India will need to maintain the current trajectory of 1-59-month mortality and accelerate declines in neonatal mortality (to >5% annually) from 2015 onwards. Continued progress in reduction of child mortality due to pneumonia, diarrhoea, malaria, and measles at 1-59 months is feasible. Additional attention to low birthweight is required. FUNDING National Institutes of Health, Disease Control Priorities Network, Maternal and Child Epidemiology Estimation Group, and University of Toronto.
Indian Journal of Community Medicine | 2012
Arvind Pandey; Ram Manohar Mishra; Dandu C.S. Reddy; Mariamma Thomas; Damodar Sahu; Deepak Bharadwaj
Background: Alcohol use has been found to correlate with risky sexual behavior as well as with sexually transmitted infections (STI) among populations with high-risk behavior in India. Objective: To examine the correlates of alcohol use and its association with STI among adult men in India. Materials and Methods: Data from a national representative large-scale household sample survey in the country were used. It included information on sociodemographic characteristics and alcohol use as a part of substance use. Clinical as well laboratory testing was done to ascertain the STI. Results: The overall STI prevalence among adult males was found to be 2.5% (95% confidence interval (CI): 1.9–3.1). Over 26% adult men were found to have been using alcohol in the study population. It was higher among men who were illiterate and unskilled industrial workers/drivers. The men who consumed alcohol had higher prevalence of STI (3.6%; 95% CI: 2.9–5.1) than those who did not consume alcohol (2.1%; 95% CI: 1.5–2.6). The degree of association between alcoholism and STI was slightly reduced after adjusting for various sociodemographic characteristics (adjusted odds ratio: 1.5; 95% CI: 0.9–2.3; P=0.06). Conclusions: The findings of present study suggest integrating alcohol risk reduction into STI/HIV prevention programmes.
Indian Journal of Medical Research | 2017
Arvind Pandey; Neeraj Dhingra; Pradeep Kumar; Damodar Sahu; D. C. S. Reddy; Padum Narayan; Yujwal Raj; Bhavna Sangal; Nalini Chandra; Saritha Nair; Jitenkumar Singh; Laxmikant Chavan; DeepikaJoshi Srivastava; UgraMohan Jha; Vinita Verma; Shashi Kant; Madhulekha Bhattacharya; Pushpanjali Swain; Partha Haldar; Lucky Singh; Taoufik Bakkali; John Stover; Savina Ammassari
Background & objectives: Evidence-based planning has been the cornerstone of Indias response to HIV/AIDS. Here we describe the process, method and tools used for generating the 2015 HIV estimates and provide a summary of the main results. Methods: Spectrum software supported by the UNAIDS was used to produce HIV estimates for India as a whole and its States/Union Territories. This tool takes into consideration the size and HIV prevalence of defined population groups and programme data to estimate HIV prevalence, incidence and mortality over time as well as treatment needs. Results: Indias national adult prevalence of HIV was 0.26 per cent in 2015. Of the 2.1 million people living with HIV/AIDS, the largest numbers were in Andhra Pradesh, Maharashtra and Karnataka. New HIV infections were an estimated 86,000 in 2015, reflecting a decline by around 32 per cent from 2007. The declining trend in incidence was mirrored in most States, though an increasing trend was detected in Assam, Chandigarh, Chhattisgarh, Gujarat, Sikkim, Tripura and Uttar Pradesh. AIDS-related deaths were estimated to be 67,600 in 2015, reflecting a 54 per cent decline from 2007. There were variations in the rate and trend of decline across India for this indicator also. Interpretation & conclusions: While key indicators measured through Spectrum modelling confirm success of the National AIDS Control Programme, there is no room for complacency as rising incidence trends in some geographical areas and population pockets remain the cause of concern. Progress achieved so far in responding to HIV/AIDS needs to be sustained to end the HIV epidemic.
PLOS ONE | 2016
Tarun Bhatnagar; Tapati Dutta; John Stover; Sheela Godbole; Damodar Sahu; Kangusamy Boopathi; Shilpa Bembalkar; Kh. Jitenkumar Singh; Rajat Goyal; Arvind Pandey; Sanjay Mehendale
Models are designed to provide evidence for strategic program planning by examining the impact of different interventions on projected HIV incidence. We employed the Goals Model to fit the HIV epidemic curves in Andhra Pradesh, Maharashtra and Tamil Nadu states of India where HIV epidemic is considered to have matured and in a declining phase. Input data in the Goals Model consisted of demographic, epidemiological, transmission-related and risk group wise behavioral parameters. The HIV prevalence curves generated in the Goals Model for each risk group in the three states were compared with the epidemic curves generated by the Estimation and Projection Package (EPP) that the national program is routinely using. In all the three states, the HIV prevalence trends for high-risk populations simulated by the Goals Model matched well with those derived using state-level HIV surveillance data in the EPP. However, trends for the low- and medium-risk populations differed between the two models. This highlights the need to generate more representative and robust data in these sub-populations and consider some structural changes in the modeling equation and parameters in the Goals Model to effectively use it to assess the impact of future strategies of HIV control in various sub-populations in India at the sub-national level.
Archive | 1998
Arvind Pandey; Minja Kim Choe; Norman Y. Luther; Damodar Sahu; Jagdish Chand
Indian Journal of Medical Research | 2009
Arvind Pandey; Dandu C.S. Reddy; Peter D. Ghys; Mariamma Thomas; Damodar Sahu; Madhulekha Bhattacharya; Kanchan D. Maiti; Fred Arnold; Shashi Kant; Ajay Khera; Renu Garg
National Family Health Survey bulletin | 1999
Minja Kim Choe; Norman Y. Luther; Arvind Pandey; Damodar Sahu; Jagdish Chand