Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kimberlyn Roosa"'
Autor:
Gerardo Chowell, Amanda Bleichrodt, Sushma Dahal, Amna Tariq, Kimberlyn Roosa, James M. Hyman, Ruiyan Luo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Simple dynamic modeling tools can help generate real-time short-term forecasts with quantified uncertainty of the trajectory of diverse growth processes unfolding in nature and society, including disease outbreaks. An easy-to-use and flexibl
Externí odkaz:
https://doaj.org/article/7685f6f0dada4c6f94d08ddc17bdeee7
Autor:
Kimberlyn Roosa, Nina H. Fefferman
Publikováno v:
Parasites & Vectors, Vol 15, Iss 1, Pp 1-10 (2022)
Abstract Background As climate variability and extreme weather events associated with climate change become more prevalent, public health authorities can expect to face an expanding spectrum of vector-borne diseases with increasing incidence and geog
Externí odkaz:
https://doaj.org/article/b64d7ad966534772a9f132ed822e79bc
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 10, p e1010602 (2022)
We analyze an ensemble of n-sub-epidemic modeling for forecasting the trajectory of epidemics and pandemics. These ensemble modeling approaches, and models that integrate sub-epidemics to capture complex temporal dynamics, have demonstrated powerful
Externí odkaz:
https://doaj.org/article/c4c71ea7fb4b4e9793b448c045201ba2
Publikováno v:
Infectious Disease Modelling, Vol 6, Iss , Pp 5-14 (2021)
Background: Different estimation approaches are frequently used to calibrate mathematical models to epidemiological data, particularly for analyzing infectious disease outbreaks. Here, we use two common methods to estimate parameters that characteriz
Externí odkaz:
https://doaj.org/article/fb2c477e004e4807899cc47e06898725
Publikováno v:
BMC Medicine, Vol 18, Iss 1, Pp 1-14 (2020)
Abstract Background As of March 31, 2020, the ongoing COVID-19 epidemic that started in China in December 2019 is now generating local transmission around the world. The geographic heterogeneity and associated intervention strategies highlight the ne
Externí odkaz:
https://doaj.org/article/8c8c1aeb8d85432cbcb10f3565e6e3a3
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 5, Pp 4299-4313 (2019)
The Poisson distribution is commonly assumed as the error structure for count data; however, empirical data may exhibit greater variability than expected based on a given statistical model. Greater variability could point to model misspecification, s
Externí odkaz:
https://doaj.org/article/8f5f8970b4cf4546b8ef5e6c7c9d4d6d
Autor:
Gerardo Chowell, Amanda Bleichrodt, Sushma Dahal, Amna Tariq, Kimberlyn Roosa, James M. Hyman, Ruiyan Luo
Background Simple dynamic modeling tools can be useful for generating real-time short-term forecasts with quantified uncertainty of the trajectory of diverse growth processes unfolding in nature and society, including disease outbreaks. An easy-to-us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9a62af3691ee6a6dd6d7221dec71e88
https://doi.org/10.21203/rs.3.rs-2724940/v2
https://doi.org/10.21203/rs.3.rs-2724940/v2
Publikováno v:
medRxiv : the preprint server for health sciences.
We analyze an ensemble ofThe COVID-19 pandemic has highlighted the urgent need to develop reliable tools to forecast the trajectory of epidemics and pandemics in near real-time. We describe and apply an ensemble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::38e9a83f1e3106856c619010b296b636
https://pubmed.ncbi.nlm.nih.gov/36201534
https://pubmed.ncbi.nlm.nih.gov/36201534
Publikováno v:
Infectious Disease Modelling
Infectious Disease Modelling, Vol 6, Iss, Pp 5-14 (2021)
Infectious Disease Modelling, Vol 6, Iss, Pp 5-14 (2021)
Background Different estimation approaches are frequently used to calibrate mathematical models to epidemiological data, particularly for analyzing infectious disease outbreaks. Here, we use two common methods to estimate parameters that characterize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97f24bdb22081bf18b59dc2b2b122ad7
https://doi.org/10.1016/j.idm.2020.10.005
https://doi.org/10.1016/j.idm.2020.10.005
Autor:
James M. Hyman, Gerardo Chowell, Alexander Kirpich, Richard Rothenberg, Ruiyan Luo, Yiseul Lee, Kimberlyn Roosa, Ping Yan
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss, Pp 256-263 (2020)
Infectious Disease Modelling
Infectious disease modelling, 5:256-263
Infectious Disease Modelling
Infectious disease modelling, 5:256-263
The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was identified in Wuhan, China in December 2019. While early cases of the disease were linked to a wet market, human-to-human transmission has driven the rapid spread
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b56ef81261a34acd3f4893c14b0fc7f
http://www.sciencedirect.com/science/article/pii/S2468042720300051
http://www.sciencedirect.com/science/article/pii/S2468042720300051