Populations size estimations using SS-PSE among MSM in four European cities: how many MSM are living with HIV?


Journal

European journal of public health
ISSN: 1464-360X
Titre abrégé: Eur J Public Health
Pays: England
ID NLM: 9204966

Informations de publication

Date de publication:
01 12 2021
Historique:
pubmed: 10 10 2021
medline: 3 2 2022
entrez: 9 10 2021
Statut: ppublish

Résumé

Although men who have sex with men (MSM) are considered at high risk for transmission of sexually transmitted infections, including HIV, there are few studies estimating the population size of MSM in Europe. We used network data from a survey of MSM in four cities to perform successive sampling-population size estimations (SS-PSE) to estimate MSM population sizes. Data were collected in 2013-14 in Bratislava, Bucharest, Verona and Vilnius using respondent-driven sampling (RDS). SS-PSE uses a Bayesian framework to approximate the RDS sampling structure via a successive sampling model and uses the selection order of the sample to provide information about the distribution of network sizes over the population members of MSM. We estimate roughly 4600 MSM in Bratislava, 25 300 MSM in Bucharest, 7200 in Verona and 2900 in Vilnius. This represents 2.9% of the estimated adult male population in Bratislava, 2.3% in Bucharest, 2.7% in Verona and 1.5% in Vilnius. The number of MSM living with HIV would roughly be 200 in Bratislava, 4554 in Bucharest, 690 in Verona and 100 in Vilnius. Benefits of this method are that no additional information from an RDS survey needs to be collected, that the sizes can be calculated ex post facto a survey and that there is a software programme that can run the SS-PSE models. However, this method relies on having reliable priors. Although many countries are estimating the sizes of their vulnerable populations, European countries have yet to incorporate similar and novel methods.

Sections du résumé

BACKGROUND
Although men who have sex with men (MSM) are considered at high risk for transmission of sexually transmitted infections, including HIV, there are few studies estimating the population size of MSM in Europe. We used network data from a survey of MSM in four cities to perform successive sampling-population size estimations (SS-PSE) to estimate MSM population sizes.
METHODS
Data were collected in 2013-14 in Bratislava, Bucharest, Verona and Vilnius using respondent-driven sampling (RDS). SS-PSE uses a Bayesian framework to approximate the RDS sampling structure via a successive sampling model and uses the selection order of the sample to provide information about the distribution of network sizes over the population members of MSM.
RESULTS
We estimate roughly 4600 MSM in Bratislava, 25 300 MSM in Bucharest, 7200 in Verona and 2900 in Vilnius. This represents 2.9% of the estimated adult male population in Bratislava, 2.3% in Bucharest, 2.7% in Verona and 1.5% in Vilnius. The number of MSM living with HIV would roughly be 200 in Bratislava, 4554 in Bucharest, 690 in Verona and 100 in Vilnius.
CONCLUSIONS
Benefits of this method are that no additional information from an RDS survey needs to be collected, that the sizes can be calculated ex post facto a survey and that there is a software programme that can run the SS-PSE models. However, this method relies on having reliable priors. Although many countries are estimating the sizes of their vulnerable populations, European countries have yet to incorporate similar and novel methods.

Identifiants

pubmed: 34626188
pii: 6385781
doi: 10.1093/eurpub/ckab148
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1129-1136

Subventions

Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Second Programme of Community Action in the field of Health (2008-13)
Organisme : SIALON II
Organisme : Second Programme of Community Action in the field of Health
ID : 2008-13

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Auteurs

Lisa Grazina Johnston (LG)

Independent Consultant, LGJ Consultants, Inc, Valencia, Spain.

Katherine R McLaughlin (KR)

Department of Statistics, Oregon State University, Corvallis, OR, USA.

Lorenzo Gios (L)

Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Maddalena Cordioli (M)

Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Danica Valkovičová Staneková (DV)

NRC for HIV/AIDS Prevention, Slovak Medical University, Bratislava, Slovakia.

Karel Blondeel (K)

Department of Sexual and Reproductive Health and Research, SRH, World Health Organization, Geneva, Switzerland.
Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.

Igor Toskin (I)

Department of Sexual and Reproductive Health and Research, SRH, World Health Organization, Geneva, Switzerland.

Massimo Mirandola (M)

Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
School of Health Sciences, University of Brighton, Brighton, UK.

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