Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Ruiyan Luo"'
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-25 (2024)
Abstract Background Dynamical mathematical models defined by a system of differential equations are typically not easily accessible to non-experts. However, forecasts based on these types of models can help gain insights into the mechanisms driving t
Externí odkaz:
https://doaj.org/article/ccdc1cca65564a85af2737486e8ab7f9
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 411-436 (2024)
An ensemble n-sub-epidemic modeling framework that integrates sub-epidemics to capture complex temporal dynamics has demonstrated powerful forecasting capability in previous works. This modeling framework can characterize complex epidemic patterns, i
Externí odkaz:
https://doaj.org/article/6987f69b377c4349b3bb1396a5b6390c
Publikováno v:
Royal Society Open Science, Vol 11, Iss 7 (2024)
During the 2022–2023 unprecedented mpox epidemic, near real-time short-term forecasts of the epidemic’s trajectory were essential in intervention implementation and guiding policy. However, as case levels have significantly decreased, evaluating
Externí odkaz:
https://doaj.org/article/8df1f28d9508492aa512355f6e92574f
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
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-20 (2023)
Abstract Background Beginning May 7, 2022, multiple nations reported an unprecedented surge in monkeypox cases. Unlike past outbreaks, differences in affected populations, transmission mode, and clinical characteristics have been noted. With the exis
Externí odkaz:
https://doaj.org/article/1e4b2919d44146f9bd0252b8cb9c61f9
Autor:
Sushma Dahal, Svenn-Erik Mamelund, Ruiyan Luo, Lisa Sattenspiel, Shannon Self-Brown, Gerardo Chowell
Publikováno v:
International Journal of Infectious Diseases, Vol 122, Iss , Pp 910-920 (2022)
Objectives: Indigenous populations have been disproportionately affected during pandemics. We investigated COVID-19 mortality estimates among indigenous and non-indigenous populations at national and sub-national levels in Mexico. Methods: We obtaine
Externí odkaz:
https://doaj.org/article/afc632e822df4ae79e322834a072455c
Publikováno v:
Saudi Dental Journal, Vol 34, Iss 3, Pp 249-258 (2022)
Objectives: Depression is highly prevalent across populations, yet studies on its contribution to oral health are lacking. Therefore, our goal is to examine the association of depression and oral health problems (preventative care, access to dental c
Externí odkaz:
https://doaj.org/article/c02287e9fb2e4681a9cfdae3e7fe4a7b
Publikováno v:
International Journal of Infectious Diseases, Vol 113, Iss , Pp 347-354 (2021)
Objectives: This study examined how socio-demographic, climate and population health characteristics shaped the geospatial variability in excess mortality patterns during the COVID-19 pandemic in Mexico. Methods: We used Serfling regression models to
Externí odkaz:
https://doaj.org/article/5bfe51e7514d48b182b47db019f2573d
Publikováno v:
Epidemiologia, Vol 2, Iss 4, Pp 639-659 (2021)
Nepal was hard hit by a second wave of COVID-19 from April–May 2021. We investigated the transmission dynamics of COVID-19 at the national and provincial levels by using data on laboratory-confirmed RT-PCR positive cases from the official national
Externí odkaz:
https://doaj.org/article/00568fdb29674831a8b7696f52585f8a
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