المؤلفون: Ajitesh, Srivastava, Ramirez, Juan Marcos, Diaz Aranda, Sergio, Aguilar, Jose, Ortega, Antonio, Fernández Anta, Antonio, Lillo, Rosa Elvira

مصطلحات موضوعية: Indirect surveys, Nowcasting, NSUM

Relation: PID2019- 104901RB-I00; SocialProbing (Técnicas de análisis y recopilación de datos escalables y asequibles para el sondeo social); https://hdl.handle.net/20.500.12761/1769

الاتاحة: https://hdl.handle.net/20.500.12761/1769

المؤلفون: Ramirez, Juan Marcos, Diaz Aranda, Sergio, Aguilar, Jose, Ojo, Oluwasegun, Lillo, Rosa Elvira, Fernández Anta, Antonio

مصطلحات موضوعية: COVID-19, incidence estimation, indirect surveys, NSUM

Relation: TED2021-131264B-I00; PID2019- 104901RB-I00; SocialProbing; CoronaSurveys-CM; COMODIN-CM; https://hdl.handle.net/20.500.12761/1728

الاتاحة: https://hdl.handle.net/20.500.12761/1728

المؤلفون: Fernández-Anta, Antonio, Aguilar, Jose, Ramírez , Juan M., Lillo, Rosa Elvira, Díaz-Aranda , Sergio

المصدر: Revista Española de Comunicación en Salud (RECS); 2024: Suplemento 1; 15-23 ; REVISTA ESPAÑOLA DE COMUNICACIÓN EN SALUD; 2024: Suplemento 1; 15-23 ; 1989-9882

مصطلحات موضوعية: COVID-19, indirect surveys, NSUM methods, Statistical inference, encuestas indirectas, métodos NSUM, inferencia estadística

وصف الملف: application/pdf

Relation: https://e-revistas.uc3m.es/index.php/RECS/article/view/7876/6426; https://e-revistas.uc3m.es/index.php/RECS/article/view/7876

الاتاحة: https://e-revistas.uc3m.es/index.php/RECS/article/view/7876
https://doi.org/10.20318/recs.2024.7876

المؤلفون: Ocagli H., Azzolina D., Lorenzoni G., Gallipoli S., Martinato M., Acar A. S., Berchialla P., Gregori D.

المساهمون: Ocagli, H., Azzolina, D., Lorenzoni, G., Gallipoli, S., Martinato, M., Acar, A. S., Berchialla, P., Gregori, D.

مصطلحات موضوعية: COVID-19, NSUM, network scale-up method, hidden population

وصف الملف: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/pmid/34073448; info:eu-repo/semantics/altIdentifier/wos/WOS:000659965600001; volume:18; issue:11; firstpage:5713-1; lastpage:5713-12; numberofpages:12; journal:INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH; https://hdl.handle.net/11392/2487151; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85106429126; https://www.mdpi.com/1660-4601/18/11/5713

الاتاحة: https://hdl.handle.net/11392/2487151
https://doi.org/10.3390/ijerph18115713
https://www.mdpi.com/1660-4601/18/11/5713

المؤلفون: Honoria Ocagli, Aslıhan Şentürk Acar, Silvia Gallipoli, Paola Berchialla, Dario Gregori, Danila Azzolina, Giulia Lorenzoni, Matteo Martinato

المصدر: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 5713, p 5713 (2021)

مصطلحات موضوعية: Speedup, Computer science, Health, Toxicology and Mutagenesis, hidden population, NO, Social Networking, NSUM, Personal network, Reduction (complexity), Study Protocol, 03 medical and health sciences, Bayes' theorem, 0302 clinical medicine, network scale-up method, Statistics, Humans, 030212 general & internal medicine, Estimation, Protocol (science), Bayes estimator, SARS-CoV-2, Public Health, Environmental and Occupational Health, COVID-19, Bayes Theorem, Cross-Sectional Studies, Snowball sampling, 030220 oncology & carcinogenesis, Medicine, Hidden population, Network scale-up method, COVID-19, NSUM, network scale-up method, hidden population

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54acd9c40916d22ba10bc22156ca4e7f
http://hdl.handle.net/2318/1789257