scholarly journals Where are all the gay guys? Using Google Trends to Inform the Population Size Estimation and Spatial Distribution and of Gay, Bisexual, and Other Men Who Have Sex with Men: Proof of Concept (Preprint)

10.2196/27385 ◽  
2021 ◽  
Author(s):  
Kiffer Card ◽  
Nathan J. Lachowsky ◽  
Robert S. Hogg
Keyword(s):  
Spatial Distribution ◽  
Population Size ◽  
Population Size Estimation ◽  
Google Trends ◽  
Proof Of Concept ◽  
Size Estimation ◽  
Sex With Men

Viewpoints: Where are all the gay guys? Using Google Trends to Inform the Population Size Estimation and Spatial Distribution and of Gay, Bisexual, and Other Men Who Have Sex with Men (Preprint)

2021 ◽  
Author(s):  
Kiffer Card ◽  
Nathan J. Lachowsky ◽  
Robert S. Hogg
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Population Size ◽  
Population Distribution ◽  
Health Planning ◽  
Population Size Estimation ◽  
Google Trends ◽  
Search Term ◽  
Size Estimation ◽  
Sex With Men

BACKGROUND We must triangulate data sources to understand best the spatial distribution and population size of marginalized populations to empower public health leaders to address population-specific needs. Existing population size estimation techniques are difficult and limited. Passive surveillance strategies that utilize internet and social media could enhance, validate, and triangulate these estimates. OBJECTIVE We explored the Google Trends platform to approximate an estimate of the spatial heterogeneity of the population distribution of gay, bisexual, and other men who have sex with men (gbMSM). METHODS This was done by comparing the prevalence of the “gay porn” search term to the “porn” search term. RESULTS Our results suggest that most cities have a gbMSM population size between 2% and 4% of their total population, with large urban centres having higher estimates relative to rural or suburban areas. CONCLUSIONS This represents nearly a doubling of sample size estimates compared to other methods, which typically find that between 2% and 4% of the male population are gbMSM. However, we note that this method is limited by unequal coverage in internet usage across Canada and differences in the frequency of porn use by gender and sexual orientation. Nevertheless, we argue that Google Trends estimates provides, for most public health planning purposes, adequate city-level estimates of gbMSM population size in regions with a high prevalence of internet access and for purposes in which a precise or narrow estimate of the population size is not required. Furthermore, it does so in less than a minute, at no cost – making it extremely timely and cost effective relative to more precise (and complex)

scholarly journals Population Size Estimation Methods: Searching for the Holy Grail (Preprint)

2020 ◽  
Author(s):  
Joyce J Neal ◽  
Dimitri Prybylski ◽  
Travis Sanchez ◽  
Wolfgang Hladik
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Population Size Estimation ◽  
Estimation Methods ◽  
Size Estimation ◽  
Empirical Methods ◽  
Program Outcomes ◽  
Gold Standard Method ◽  
Response Planning ◽  
Sex With Men

UNSTRUCTURED Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.

scholarly journals Population Size Estimation of Gay and Bisexual Men and Other Men Who Have Sex With Men Using Social Media-Based Platforms

2018 ◽  
Vol 4 (1) ◽  
pp. e15 ◽  
Author(s):  
Stefan Baral ◽  
Rachael M Turner ◽  
Carrie E Lyons ◽  
Sean Howell ◽  
Brian Honermann ◽  
...  
Keyword(s):  
Social Media ◽  
Population Size ◽  
Gay And Bisexual Men ◽  
Population Size Estimation ◽  
Bisexual Men ◽  
Size Estimation ◽  
And Bisexual ◽  
Sex With Men

scholarly journals Population Size Estimation of Men Who Have Sex with Men in Tbilisi, Georgia; Multiple Methods and Triangulation of Findings

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0147413 ◽  
Author(s):  
Lela Sulaberidze ◽  
Ali Mirzazadeh ◽  
Ivdity Chikovani ◽  
Natia Shengelia ◽  
Nino Tsereteli ◽  
...  
Keyword(s):  
Population Size ◽  
Population Size Estimation ◽  
Size Estimation ◽  
Multiple Methods ◽  
Sex With Men

scholarly journals Population Size Estimation Methods: Searching for the Holy Grail

10.2196/25076 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e25076
Author(s):  
Joyce J Neal ◽  
Dimitri Prybylski ◽  
Travis Sanchez ◽  
Wolfgang Hladik
Keyword(s):  
Population Size ◽  
Sex Workers ◽  
Population Size Estimation ◽  
Estimation Methods ◽  
Size Estimation ◽  
Empirical Methods ◽  
Program Outcomes ◽  
Gold Standard Method ◽  
Response Planning ◽  
Sex With Men

Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.

Preliminary Population Size Estimation of Men Who Have Sex with Men in Kazakhstan: Implications for HIV Testing and Surveillance

LGBT Health ◽  
2017 ◽  
Vol 4 (2) ◽  
pp. 164-167 ◽  
Author(s):  
Elwin Wu ◽  
Assel Terlikbayeva ◽  
Timothy Hunt ◽  
Sholpan Primbetova ◽  
Yong Gun Lee ◽  
...  
Keyword(s):  
Hiv Testing ◽  
Population Size ◽  
Population Size Estimation ◽  
Size Estimation ◽  
Sex With Men

scholarly journals Population Size Estimation of Men Who Have Sex with Men through the Network Scale-Up Method in Japan

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e31184 ◽  
Author(s):  
Satoshi Ezoe ◽  
Takeo Morooka ◽  
Tatsuya Noda ◽  
Miriam Lewis Sabin ◽  
Soichi Koike
Keyword(s):  
Population Size ◽  
Scale Up ◽  
Population Size Estimation ◽  
Size Estimation ◽  
Network Scale ◽  
Sex With Men

scholarly journals Estimating the Number of Sex Workers in South Africa: Rapid Population Size Estimation

2015 ◽  
Vol 19 (S1) ◽  
pp. 3-15 ◽  
Author(s):  
Tracey L. Konstant ◽  
Jerushah Rangasami ◽  
Maria J. Stacey ◽  
Michelle L. Stewart ◽  
Coceka Nogoduka
Keyword(s):  
South Africa ◽  
Population Size ◽  
Sex Workers ◽  
Population Size Estimation ◽  
Size Estimation
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