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ArticlePloS one2016

Fitting HIV Prevalence 1981 Onwards for Three Indian States Using the Goals Model and the Estimation and Projection Package.

Tarun Bhatnagar, Tapati Dutta, John Stover, Sheela Godbole, Damodar Sahu, Kangusamy Boopathi, Shilpa Bembalkar, Kh Jitenkumar Singh, Rajat Goyal, Arvind Pandey and 1 more

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Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tarun BhatnagarNational Institute of Epidemiology, Indian Council of Medical Research, Chennai, Tamil Nadu, India.
Tapati DuttaInternational AIDS Vaccine Initiative, New Delhi, India.
John StoverAvenir Health, Glastonbury, Connecticut, United States of America.
Sheela GodboleDepartment of Epidemiology, National AIDS Research Institute, Indian Council of Medical Research, Pune, Maharashtra, India.
Damodar SahuNational Institute of Medical Statistics, Indian Council of Medical Research, New Delhi, India.
Kangusamy BoopathiNational Institute of Epidemiology, Indian Council of Medical Research, Chennai, Tamil Nadu, India.
Shilpa BembalkarDepartment of Epidemiology, National AIDS Research Institute, Indian Council of Medical Research, Pune, Maharashtra, India.
Kh Jitenkumar SinghNational Institute of Medical Statistics, Indian Council of Medical Research, New Delhi, India.
Rajat GoyalInternational AIDS Vaccine Initiative, New Delhi, India.
Arvind PandeyNational Institute of Medical Statistics, Indian Council of Medical Research, New Delhi, India.
Sanjay M MehendaleNational Institute of Epidemiology, Indian Council of Medical Research, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

GoalsModels, StatisticalAdolescentAdultFemaleHIV InfectionsHumansIndiaMaleMiddle AgedPrevalenceYoung Adult

Identifiers

PMID27711212
PMCPMC5053468

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