Evidence map›Paper›PMID 41089615›Full record

ArticleMedical journal of the Islamic Republic of Iran2025

Mapping and Estimating the Size of Key Affected Populations in Iran: Methodological Issues.

Mahmoud Khodadost, Hamid Sharifi, Ahmad Hajebi, Seyed Abbas Motevalian

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2025. 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mahmoud KhodadostDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, 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.
Ahmad HajebiResearch Center for Addiction & Risky Behaviors (ReCARB), Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran.
Seyed Abbas MotevalianDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0404-4495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reliable estimates of key affected populations (KAPs), including people who inject drugs (PWID) and people who use drugs (PWUD), are essential for effective human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) and harm reduction programming. This study compares how 3 methodological adjustments collectively modify PWID/PWUD size estimates across 4 Iranian cities. Methods: Using data from mapping exercises in 4 Iranian cities (Ahvaz, Sari, Yazd, and Tehran), we applied 3 methodological adjustments: (1) frequency adjustment (correcting for infrequent hotspot attendance); (2) duplication adjustment (accounting for multihotspot visitors); and (3) hidden population adjustment (incorporating KAPs avoiding mappable sites). Input parameters were derived from field surveys and national studies, including the Iranian Mental Health Survey. Results: Frequency adjustment increased initial PWID estimates (eg, Ahvaz: from 843 to 2104), while duplication adjustment reduced them by 29% to 37%. Hidden population adjustment (assuming 76% of PWID avoid hotspots) yielded final estimates of 1966 (Ahvaz), 854 (Sari), 663 (Yazd), and 28 (Tehran). PWUD estimates followed similar trends, although hidden population adjustments were limited by data gaps. Conclusion: Standard hotspot mapping significantly underestimates KAP sizes if methodological biases are unaddressed. Our 3-step adjustment framework enhances accuracy but highlights limitations, including reliance on mobility assumptions and accuracy of the available national survey data. These findings advocate for integrating correction factors into KAP surveillance systems to optimize resource allocation for harm reduction.

Indexed as

IranKey affected populationsMappingPeople who inject drugsSize Estimation

Identifiers

PMID41089615
PMCPMC12516427

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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.