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BMJ Open | 2012

Estimate of HIV prevalence and number of people living with HIV in India 2008–2009

Arvind Pandey; Damodar Sahu; Taoufi Bakkali; Dcs Reddy; Srinivasan Venkatesh; Shashi Kant; Madhulekha Bhattacharya; Yujwal Raj; Partha Haldar; Deepak Bhardwaj; Nalini Chandra

Objectives To update the estimation of the adult HIV prevalence and number of people living with HIV (PLHIV) in India for the year 2008−2009 with the combination of improved data and methods. Design Based on HIV sentinel surveillance (HSS) data and a set of epidemiological assumptions, estimates of HIV prevalence and burden in India have been derived. Setting HSS sites spread over all the States of India. Participants Secondary data from HSS sites which include attendees of antenatal clinics and sites under targeted interventions of high-risk groups, namely, female sex workers (FSW), intravenous drug users (IDU) and men having sex with men (MSM). Primary and secondary outcome measures Estimates of adult HIV prevalence and PLHIV in India and its states. Results The adult HIV prevalence in India has declined to an estimated 0.31% (0.25–0.39%) in 2009 against 0.36% (0.29–0.45%) in 2006. Among the high prevalence states, the HIV prevalence has declined in Tamil Nadu to 0.33% in 2009 and other states show either a plateau or a slightly declining trend over the time period 2006–2009. There are states in the low prevalence states where the adult HIV prevalence has risen over the last 4 years. The estimated number of PLHIV in India is 2.4 million (1.93–3.04 million) in 2009. Of which, 39% are women, children under 15 years of age account for 4.4% of all infections, while people aged 15–49 years account for 82.4% of all infections. Conclusions The estimated adult prevalence has declined in few states, a plateau or a slightly declining trend over the time. In future, efforts may be made to examine the implications of the emerging trend of the HIV prevalence on the recent infections in the study population.


Journal of family medicine and primary care | 2016

Acceptance rate, probability of follow-up, and expulsion of postpartum intrauterine contraceptive device offered at two primary health centers, North India

Shashi Kant; S Archana; Arvind Kumar Singh; Farhad Ahamed; Partha Haldar

Introduction: Acceptance rate of postpartum intrauterine contraceptive device (PPIUCD) offered through a public health approach is unknown. Our aim was to describe the acceptance rate, expulsion, and follow-up and factors associated with it when PPIUCD was offered to women delivering at two primary health centers (PHCs). Methods: We analyzed routine health data of deliveries at two PHCs in district Faridabad, India between May and December 2014, having sociodemographic variables, obstetric history, and during the follow-up check-up at 6-weeks postpartum for in situ status of intrauterine contraceptive device, side effects, and complications. Results: The overall acceptance rate among those eligible for PPIUCD was 39% (95% confidence interval [CI]: 35.1–42.9). Independent predictor of acceptance was a monthly family income of <USD75


North American Journal of Medical Sciences | 2013

HIV Risk Behavior Among Men Who Have Sex with Men

Vijay Silan; Shashi Kant; Partha Haldar; Kiran Goswami; Sanjay K. Rai; Puneet Misra

(odds ratio [O.R.]: 2.29, 95% CI: 1.58–3.31). The expulsion rate, and removal rate at 6 weeks postpartum was 18.0% and 13.0%, respectively. Expulsion by 6 weeks was associated with, age >25 years (O.R.: 2.21, 95% CI: 1.03–4.73), gravida ≥4 (O.R.: 4.01, 95% CI: 1.28–12.56), and a living previous-child (O.R.: 1.51, 95% CI: 1.04–2.19). Conclusion: Acceptance rate of PPIUCD was higher than that reported in literature. Women from lower income family, having at least one living child, and having attended antenatal care clinic were more likely to accept PPIUCD.


Rural and Remote Health | 2017

Delay in initiation of treatment after diagnosis of pulmonary tuberculosis in primary health care setting: eight year cohort analysis from district Faridabad, Haryana, North India

Shashi Kant; Arvind Kumar Singh; Giridara Parmeshwaran; Partha Haldar; Sumit Malhotra; Ravneet Kaur

Background: Sentinel surveillance reported high human immunodeficiency virus positivity rates among men who have sex with men. The current study has described the high-risk behavior and self-reported sexually transmitted infection(s) among self-identified men who have sex with men. Aims: The present study was to find out the extent of high-risk behavior and prevalence of self-reported sexually transmitted diseases among self-identified men who have sex with men, registered with selected nongovernmental organizations in Delhi. Materials and Methods: A facility-based cross-sectional study was done among 250 men who have sex with men during March 2009 to February 2010, through consecutive sampling strategy. Results: Majority (80%) were anal-receptive, received money for sex (61%) and were involved in all types of sexual intercourse with men (oral-86%, manual-97%, and anal-94%). Consistent condom use with male partner was low (46%), most common reason (52%) for not using condom was, that either the condoms were not available or the partner objected. Self-reported sexually transmitted infection(s) was 41% in the past 12 months. Conclusions: This study underscores the increased vulnerability of men who have sex with men of Delhi and need for sustained interventions.


Indian Journal of Medical Research | 2017

Sustained progress, but no room for complacency: Results of 2015 HIV estimations in India

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

INTRODUCTION Delay in initiation of tuberculosis (TB) treatment may have a tremendous impact on disease transmission, development of drug resistance, poor outcome and overall survival of TB patients. The delay can occur at various levels. Delay in initiation of treatment after diagnosis is mostly due to health system failure and has immense programmatic implications. It has not been studied extensively in the Indian setting. METHODS The authors did a cohort analysis of all TB patients initiated on treatment from two primary health centres (PHCs) at Ballabgarh Health and Demographic Surveillance System between January 2007 and December 2014. Diagnosis and treatment of TB in the study area was done as per the protocol envisaged in the national program. Information related to demography, details of diagnosis and treatment of TB and outcome of treatment were extracted from the TB register. Delay in initiation of treatment after diagnosis was considered if the gap between diagnosis and treatment was greater than 7 days. Bivariate and multivariate analyses were done to find the association of various factors with delay in initiation of treatment after diagnosis. RESULTS Out of 885 patients, 662 patients started treatment for pulmonary TB. Mean time interval between diagnosis and initiation of treatment was 8.95 days. Only 57.7% of pulmonary TB patients were started on treatment within 7 days of diagnosis, and an additional 24.5% were started on treatment 8-14 days after diagnosis. Patients on retreatment regimens and those residing in villages without a PHC were more likely to have delayed initiation of treatment (odds ratio (OR)=1.82 (1.3-2.7, p=0.001) and OR=1.62 (1.1-2.5, p=0.01) respectively). Delay in initiation of treatment was also associated with unfavourable treatment outcome such as default, failure or death. CONCLUSIONS There is a need to have healthcare changes related to TB care to enable initiation of treatment as early as possible. Pretreatment counselling especially for retreatment patients is of utmost importance.


Annals of Indian Academy of Neurology | 2014

Prevalence of fatigue in Guillain-Barre syndrome in neurological rehabilitation setting.

Prajna Ranjani; Meeka Khanna; Anupam Gupta; Madhu Nagappa; Arun B. Taly; Partha Haldar

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.


Influenza and Other Respiratory Viruses | 2018

Evaluation of data sources and approaches for estimation of influenza-associated mortality in India

Venkatesh Vinayak Narayan; Angela D. Iuliano; Katherine Roguski; Partha Haldar; Siddhartha Saha; Vishnubhatla Sreenivas; Shashi Kant; Sanjay Zodpey; Chandrakant S Pandav; Seema Jain; Anand Krishnan

Background: Fatigue contributes significantly to the morbidity and affects the quality of life adversely in Guillain-Barre Syndrome (GBS). Objective: To determine the prevalence of fatigue in GBS in neurological rehabilitation setting and to study its clinical correlates. Materials and Methods: We performed secondary analysis of data of patients with GBS admitted in neurological rehabilitation ward of a tertiary care centre, recorded at both admission and discharge. Assessment of fatigue was done by Fatigue Severity Scale (FSS), disability-status by Hughes Disability Scale (HDS), functional-status by Barthel Index, anxiety/depression by Hospital Anxiety Depression Scale, sleep disturbances by Pittsburgh Sleep Quality Index and muscle weakness by Medical Research Council sum scores. Results: A total of 90 patients (62 men) with mean age 34 years (95% CI 32.2, 37.7) were included. Median duration of, stay at neurological rehabilitation ward was 30 days, while that of symptoms was 18.5 days. Presence of fatigue at admission (FSS ≥ 4 in 39% patients) was associated with ventilator requirement (P = 0.021) and neuropathic pain (P = 0.03). Presence of fatigue at discharge (FSS ≥ 4 in 12% patients) was associated with disability- HDS (≥3) (P = 0.008), presence of anxiety (P = 0.042) and duration of stay at rehabilitation ward (P = 0.02). Fatigue did not correlate with age, gender, antecedent illness, muscle weakness, depression and sleep disturbances. Conclusion: Fatigue is prevalent in GBS during early recovery phase of illness. Despite motor recovery fatigue may persist. Knowledge about fatigue as burden of disease in these patients will improve patient care.


Birth Defects Research Part A-clinical and Molecular Teratology | 2017

Prevalence of neural tube defects in a rural area of north india from 2001 to 2014: A population-based survey

Shashi Kant; Sumit Malhotra; Arvind Kumar Singh; Partha Haldar; Ravneet Kaur; Puneet Misra; Neerja Gupta

No estimates of influenza‐associated mortality exist for India.


Indian Journal of Public Health | 2015

A surveillance model for sexually transmitted infections in India

Partha Haldar; Guy Morineau; A Das; Sanjay Mehendale

BACKGROUND Neural tube defects (NTDs) are one of the commonest birth defects. There was paucity of community-based data on occurrence of NTDs in India, especially from rural parts of the country. Against this background, the current study was carried out with main objectives to determine the prevalence of NTDs and its specific types (anencephaly, spina bifida and encephalocele) in a rural community setting over the time period 2001 to 2014. METHODS This was a community-based cross-sectional study carried out in 28 villages of Ballabgarh Tehsil of Faridabad district in north India (population ∼ 96,000). A household survey was undertaken by trained multi-purpose workers who enquired ever-married women about history of conception with outcome as NTD during the study period. The probable case of NTD was determined using a colored pictorial card with photographs of different types of NTDs. These cases were confirmed by doctors. RESULTS A total of 26,946 live births occurred during the years 2001 to 2014. A total of 140 confirmed cases of NTDs were identified. The live birth prevalence of NTDs was 24.1 per 10,000 live births (95% confidence interval, 18.8-30.6). The birth prevalence of NTDs for the years 2008 to 2014 was 50.8 (95% confidence interval, 39.9-63.8) per 10,000 live and stillbirths. The most common type of NTD was found to be spina bifida followed by anencephaly and encephalocele. CONCLUSION We found high prevalence of NTDs in rural community settings from north India for years 2001 to 2014.Birth Defects Research 109:203-210, 2017.© 2016 Wiley Periodicals, Inc.


bioRxiv | 2018

Clinico-Demographic trend of HIV-positive cases and sero-discordance at a secondary level hospital in Haryana, North India- programmatic implications for a low HIV prevalence State.

Partha Haldar; Shashi Kant

The strategy for prevention and control of sexually transmitted infections (STIs) in India is based on syndromic case management delivered through designated STI/reproductive tract infection (RTI) centers (DSRCs) situated in medical colleges, district hospitals, and STI-clinics of targeted interventions programs. Laboratory tests for enhanced syndromic management are available at some sites. To ensure country-level planning and effective local implementation of STI services, reliable and consistent epidemiologic information is required on the distribution of STI cases, rate and trends of newly acquired infections, and STI prevalence in specific population groups. The present STI management information system is inadequate to meet these requirements because it is based on syndromic data and limited laboratory investigations on STIs reported passively by DSRCs and laboratories. Geographically representative information on the etiology of STI syndromes and antimicrobial susceptibility of STI pathogens although essential for optimizing available treatment options, is deficient. Surveillance must provide high quality information on: (a) prevalence of STIs such as syphilis, trichomoniasis, gonorrhea, and chlamydia among high-risk groups; syphilis in the general population and pregnant antenatal women; (b) demographic characteristics such as age, sex, new/recurrent episode, and type of syndromically diagnosed STI cases; (c) proportion of acute infections such as urethral discharge (UD) in men and nonherpetic genital ulcer disease (GUD) in men and women; (d) etiology of STI syndromes; and (e) gonococcal antimicrobial susceptibility. We describe here a framework for an STI sentinel surveillance system in India, building on the existing STI reporting systems and infrastructure, an overview of the components of the proposed surveillance system, and operational challenges in its implementation.

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Shashi Kant

All India Institute of Medical Sciences

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Arvind Kumar Singh

All India Institute of Medical Sciences

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Sumit Malhotra

All India Institute of Medical Sciences

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Puneet Misra

All India Institute of Medical Sciences

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Ravneet Kaur

All India Institute of Medical Sciences

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Sanjay K. Rai

All India Institute of Medical Sciences

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Chandrakant S Pandav

All India Institute of Medical Sciences

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Shashi Kant

All India Institute of Medical Sciences

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Anupam Gupta

National Institute of Mental Health and Neurosciences

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Arun B. Taly

National Institute of Mental Health and Neurosciences

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