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Open Access Research article

Estimating the regional distribution of men who have sex with men (MSM) based on Internet surveys

Ulrich Marcus1*, Axel J Schmidt2, Osamah Hamouda1 and Michael Bochow2

  • * Corresponding author: Ulrich Marcus marcusu@rki.de

  • † Equal contributors

Author Affiliations

1 Robert Koch Institute, Dept. Infectious Diseases Epidemiology, Post box 650261, 13302 Berlin, Germany

2 Social Science Research Center Berlin (WZB), Public Health Unit, Reichpietschufer 50, 10785 Berlin, Germany

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BMC Public Health 2009, 9:180  doi:10.1186/1471-2458-9-180

Published: 11 June 2009

Abstract

Background

Measurement of prevalence and incidence of infections in a hard to reach population like men who have sex with men (MSM) is hampered by its unknown size and regional distribution. Population-based surveys have recently been used to estimate the total number of MSM, but these surveys are usually not large enough to measure regional differences in the proportion of MSM in the population. We explored the use of the proportional regional distribution of participants of large internet-based surveys among MSM from Germany to estimate the regional distribution of MSM in Germany.

Methods

We compared participants from two separate MSM behavioural surveys with each other and with the distribution of user profiles of the largest contact and dating website for gay and other MSM in Germany in terms of the representativeness of the regional distribution. In addition, we compared the regional distribution of reportedly HIV positive survey participants with the regional distribution of HIV notifications within the national surveillance system that can be attributed to transmission through homosexual contacts.

Results

Regional distribution of survey participants was almost identical in both surveys, despite little overlap between survey participants. Slight discrepancies between surveys and user profiles could be observed. Proportional regional distribution of survey participants with HIV diagnosis resembled national surveillance data.

Conclusion

Considering the difficulties to obtain representative data by other sampling methods for "hidden" populations like MSM, internet-based surveys may provide an easy and low cost tool to estimate the regional population distribution – at least in Western post-industrialized countries. Some uncertainties remain about the exact place of residence of MSM in larger cities or catchment areas of these cities. Slightly different results from different datasets may be due to unequal popularity of MSM websites in different regions. The total population size of the MSM population can be estimated based on e.g. data from representative national population surveys. Both estimates can then be combined to calculate the absolute size of regional MSM populations.