Evidence map›Paper›PMID 42871496›Full record

ArticleMedical journal of the Islamic Republic of Iran2026

A Decade of Discovery: Methodological Innovation, Capacity Building, and Global Leadership in Hidden Population Research in Iran.

Ali Akbar Haghdoost, Hamid Sharifi, Yunes Jahani, Saiedeh Haji-Maghsoudi, Mohammad Reza Baneshi

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ali Akbar HaghdoostHIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Hamid SharifiHIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Yunes JahaniModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Saiedeh Haji-MaghsoudiModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad Reza BaneshiCenter for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Herston, Queensland, Australia.ORCID https://orcid.org/0000-0002-6405-8688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the early 2010s, Iran lacked reliable estimates of key populations at increased risk of HIV, including people who inject drugs, female sex workers, and men who have sex with men. This information gap limited evidence-based planning, resource allocation, and monitoring of HIV prevention programs. Methods: This paper reviews the development and achievements of Iran's population size estimation program over more than a decade. Drawing on program records, published studies, training activities, and policy contributions, we summarise the program's impact across research, education, and policy domains. Results: Research centres structured under the Institute for Futures Studies in Health (affiliated with Kerman University of Medical Sciences) combined expertise in modelling and public health to establish a national population size estimation program. The program generated population size estimates for key populations across Iran, produced a substantial body of scientific evidence, trained researchers and public health practitioners, strengthened institutional capacity, and contributed to HIV-related policy and planning. Its standing was further reinforced through regional recognition of the HIV/STI Surveillance Research Centre as a World Health Organisation Collaborating Centre for HIV Surveillance. Conclusion: The Iranian population size estimation program demonstrates how sustained collaboration between modelling and public health researchers can generate evidence, build national capacity, strengthen institutions, and support public health policy. The program provides a model for developing similar initiatives in other settings.

Indexed as

IranNetwork Scale-UpPopulation Size Estimation

Identifiers

PMID42871496
PMCPMC13659696

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