Evidence map›Paper›PMID 35849570›Full record

ArticlePloS one2022

Diversity in HIV epidemic transitions in India: An application of HIV epidemiological metrices and benchmarks.

Pradeep Kumar, Chinmoyee Das, Arvind Kumar, Damodar Sahu, Sanjay K Rai, Sheela Godbole, Elangovan Arumugam, Lakshmi P V M, Shanta Dutta, H Sanayaima Devi and 6 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Elimination of Vertical Transmission of HIV and Syphilis as a Public Health Threat in India: Strategic Information-Driven Pathway.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Pradeep KumarNational AIDS Control Organization, Ministry of Health and Family Welfare, New Delhi, India.ORCID 0000-0002-7638-1263
Chinmoyee DasNational AIDS Control Organization, Ministry of Health and Family Welfare, New Delhi, India.
Arvind KumarNational AIDS Control Organization, Ministry of Health and Family Welfare, New Delhi, India.
Damodar SahuIndian Council of Medical Research-National Institute of Medical Statistics, New Delhi, India.
Sanjay K RaiAll India Institute of Medical Sciences, New Delhi, India.
Sheela GodboleIndian Council of Medical Research-National AIDS Research Institute, Pune, India.
Elangovan ArumugamIndian Council of Medical Research-National Institute of Epidemiology, Chennai, India.ORCID 0000-0003-4491-7171
Lakshmi P V MPostgraduate Institute of Medical Education and Research, Chandigarh, India.
Shanta DuttaIndian Council of Medical Research-National Institute of Cholera and Enteric Diseases, Kolkata, India.
H Sanayaima DeviRegional Institute of Medical Sciences, Imphal, India.
Vishnu Vardhana Rao MenduIndian Council of Medical Research-National Institute of Medical Statistics, New Delhi, India.
Shashi KantAll India Institute of Medical Sciences, New Delhi, India.
Arvind PandeyIndian Council of Medical Research-National Institute of Medical Statistics, New Delhi, India.
Dandu Chandra Sekhar ReddyInstitute of Medical Sciences, Banaras Hindu University, Varanasi, India.ORCID 0000-0003-2397-9971
Sanjay MehendaleIndian Council of Medical Research, New Delhi, India.
Shobini RajanNational AIDS Control Organization, Ministry of Health and Family Welfare, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Joint United Nations Programme on AIDS (UNAIDS) has emphasized on the incidence-prevalence ratio (IPR) and incidence-mortality ratio (IMR) to measure the progress in HIV epidemic control. In this paper, we describe the status of epidemic control in India and in various states in terms of UNAIDS's recommended metrices.

methodThe National AIDS Control Programme (NACP) of India spearheads work on mathematical modelling to estimate HIV burden based on periodically conducted sentinel surveillance for providing guidance to program implementation and policymaking. Using the results of the latest round of HIV Estimations in 2019, IPR and IMR were calculated.

resultsNational level IPR was 0.029 [0.022-0.037] in 2019 and ranged from 0.01 to 0.15 in various States and Union Territories (UTs). Corresponding Incidence-Mortality Ratio was at 0.881 [0.754-1.014] nationally and ranged between 0.20 and 12.90 across the States/UTs.

conclusionsBased on UNAIDS recommended indicators for HIV epidemic control, namely IPR and IMR; national AIDS response in India appears on track. However, the program success is not uniform and significant heterogeneity as well as expanding epidemic was observed at the level of States or UTs. Reinforcing States/UTs specific and focused HIV prevention, testing and treatment initiatives may help in the attainment of 2030 Sustainable Development Goals of ending AIDS as a public health threat by 2030.

Indexed as

Acquired Immunodeficiency SyndromeEpidemicsHIV InfectionsBenchmarkingHumansIndiaPrevalence

Identifiers

PMID35849570
PMCPMC9292090

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.