Correction: Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.

Autor: Pollett S, Johansson MA, Reich NG, Brett-Major D, Del Valle SY, Venkatramanan S, Lowe R, Porco T, Berry IM, Deshpande A, Kraemer MUG, Blazes DL, Pan-Ngum W, Vespigiani A, Mate SE, Silal SP, Kandula S, Sippy R, Quandelacy TM, Morgan JJ, Ball J, Morton LC, Althouse BM, Pavlin J, van Panhuis W, Riley S, Biggerstaff M, Viboud C, Brady O, Rivers C

Publikováno v: PLoS medicine [PLoS Med] 2023 Nov 17; Vol. 20 (11), pp. e1004316. Date of Electronic Publication: 2023 Nov 17 (Print Publication: 2023).

Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.

Autor: Pollett S; Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America., Johansson MA; Division of Vector-Borne Diseases, Centers for Disease Control & Prevention, San Juan, Puerto Rico, United States of America., Reich NG; University of Massachusetts-Amherst, School of Public Health and Health Sciences, Amherst, Massachusetts, United States of America., Brett-Major D; University of Nebraska Medical Center, Omaha, Nebraska, United States of America., Del Valle SY; Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America., Venkatramanan S; Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, Virginia, United States of America., Lowe R; Centre for Mathematical Modelling of Infectious Diseases and Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.; Barcelona Institute for Global Health, Barcelona, Spain., Porco T; University of California at San Francisco, San Francisco, California, United States of America., Berry IM; Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America., Deshpande A; Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America., Kraemer MUG; Department of Zoology, University of Oxford, Oxford, United Kingdom., Blazes DL; Bill and Melinda Gates Foundation, Seattle, Washington, United States of America., Pan-Ngum W; Mahidol-Oxford Tropical Medicine Research Unit and Department of Tropical Hygiene, Mahidol University, Thailand., Vespigiani A; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America., Mate SE; Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America., Silal SP; Modelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom., Kandula S; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York, United States of America., Sippy R; Institute for Global Health and Translational Science, State University of New York Upstate Medical University, Syracuse, New York, United States of America., Quandelacy TM; Division of Vector-Borne Diseases, Centers for Disease Control & Prevention, San Juan, Puerto Rico, United States of America., Morgan JJ; Catholic University of America, Washington, DC, United States of America., Ball J; U.S. Army Public Health Center, Edgewood, Maryland, United States of America., Morton LC; Armed Forces Health Surveillance Division, Global Emerging Infections Surveillance, Silver Spring, Maryland, United States of America.; George Washington University, Milken Institute School of Public Health, Washington, DC, United States of America., Althouse BM; University of Washington, Seattle, Washington, United States of America.; Institute for Disease Modeling, Bellevue, Washington, United States of America.; New Mexico State University, Las Cruces, New Mexico, United States of America., Pavlin J; National Academies of Sciences, Engineering, and Medicine, Washington, DC, United States of America., van Panhuis W; University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, United States of America., Riley S; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College, London, United Kingdom., Biggerstaff M; Influenza Division, Centers for Disease Control & Prevention, Atlanta, Georgia, United States of America., Viboud C; Fogarty International Center, National Institutes for Health, Bethesda, Maryland, United States of America., Brady O; Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom., Rivers C; Johns Hopkins Center for Health Security, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Publikováno v: PLoS medicine [PLoS Med] 2021 Oct 19; Vol. 18 (10), pp. e1003793. Date of Electronic Publication: 2021 Oct 19 (Print Publication: 2021).

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces

Autor: Herlands, W, Wilson, A, Nickisch, H, Flaxman, SR, Neill, D, van Panhuis, W, Xing, E

We present a scalable Gaussian process model for identifying and characterizing smooth multidimensional changepoints, and automatically learning changes in expressive covariance structure. We use Random Kitchen Sink features to flexibly define a chan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfc92e1b45f927deb5e509d76eb33d2d
http://arxiv.org/abs/1511.04408

Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report.

Autor: Nunes, Marta C.^1,2 marta.nunes@chu-lyon.fr, Thommes, Edward^3,4, Fröhlich, Holger^5,6, Flahault, Antoine⁷, Arino, Julien⁸, Baguelin, Marc^9,10, Biggerstaff, Matthew¹¹, Bizel-Bizellot, Gaston¹², Borchering, Rebecca¹¹, Cacciapaglia, Giacomo¹³, Cauchemez, Simon¹⁴, Barbier-Chebbah, Alex¹⁵, Claussen, Carsten¹⁶, Choirat, Christine¹⁷, Cojocaru, Monica¹⁸, Commaille-Chapus, Catherine¹⁹, Chitin Hon²⁰, Jude Kong²¹, Lambert, Nicolas²², Lauer, Katharina B.²³

Publikováno v: Infectious Disease Modelling (2468-2152). Jun2024, Vol. 9 Issue 2, p501-518. 18p.

Methodological Leeway and Obstacles in Qualitative Research: Reflections on Procedural and Practical Issues in Tanzania.

Autor: Telaky, Said Nuhu¹ (AUTHOR) sanuteky@gmail.com, Mwanyoka, Iddi² (AUTHOR)

Publikováno v: International Journal of Qualitative Methods. 3/22/2024, p1-13. 13p.