Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil - Wikidata - awgldk - TriplyDB

Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil

Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil

http://www.wikidata.org/entity/Q28743152

about

If You Are Not Counted, You Don't Count: Estimating the Number of African-American Men Who Have Sex with Men in San Francisco Using a Novel Bayesian Approach Estimating the size of HIV key affected populations in Chongqing, China, using the network scale-up method Theoretical and Empirical Comparisons of Methods to Estimate the Size of Hard-to-Reach Populations: A Systematic Review.Estimating hidden population size using Respondent-Driven Sampling data.Estimating the Size and Age-gender Distribution of Women's Active Social Networks.Network scale-up correction factors for population size estimation of people who inject drugs and female sex workers in Iran.Estimating the sizes of populations at high risk for HIV: a comparison study.Estimating the size of populations at high risk for HIV using respondent-driven sampling data.Social network size estimation and determinants in tehran province residents Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China Scale-up approach in CATI surveys for estimating the number of foreign body injuries in the aero-digestive tract in children.The estimation of active social network size of the Iranian population.Estimating Population Size Using the Network Scale Up Method.Quantity Versus Quality: A Survey Experiment to Improve the Network Scale-up Method.Diagnostics for Respondent-driven Sampling Network Approaches to Substance Use and HIV/Hepatitis C Risk among Homeless Youth and Adult Women in the United States: A Review.Estimating the Size of the Methamphetamine-Using Population in New York City Using Network Sampling Techniques.The Frequency of Alcohol Use in Iranian Urban Population: The Results of a National Network Scale Up Survey.Estimated Number of People Who Inject Drugs in San Francisco, 2005, 2009, and 2012.Estimating the Size of a Large Network and its Communities from a Random Sample.Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden Populations.[Consumption of licit and illicit substances by police officers in the city of Rio de Janeiro].One-step estimation of networked population size: Respondent-driven capture-recapture with anonymity.

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P2860

Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil

http://www.wikidata.org/entity/Q28743152

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2011 nî lūn-bûn

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2011 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

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2011 թվականի նոյեմբերին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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American Journal of Epidemiology

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Assessing network scale-up est ...... drug users in Curitiba, Brazil

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Dimitri Fazito

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Maeve B Mello

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Matthew J Salganik

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Neilane Bertoni

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P2860

Elevated risk for HIV infection among men who have sex with men in low- and middle-income countries 2000-2006: a systematic review

Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review

Measuring the HIV/AIDS epidemic: approaches and challenges.

HIV prevalence among female sex workers, drug users and men who have sex with men in Brazil: a systematic review and meta-analysis.

The Game of Contacts: Estimating the Social Visibility of Groups.

Improving the data to strengthen the global response to HIV among people who inject drugs.

Assessing respondent-driven sampling.

Estimation of the number of injection drug users in St. Petersburg, Russia.

Counting hard-to-count populations: the network scale-up method for public health

Respondent-Driven Sampling: An Assessment of Current Methodology.

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1190-6

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3855549

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10.1093/AJE/KWR246

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10

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174

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Francisco I. Bastos

Alexandre H Abdo

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2011-11-15T00:00:00Z

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51720149

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22003188

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3208143

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