Zobrazeno 1 - 10
of 677
pro vyhledávání: '"Zhou Guofa"'
Dengue fever is one of the most deadly mosquito-born tropical infectious diseases. Detailed long range forecast model is vital in controlling the spread of disease and making mitigation efforts. In this study, we examine methods used to forecast deng
Externí odkaz:
http://arxiv.org/abs/2403.07027
Publikováno v:
E3S Web of Conferences, Vol 64, p 06008 (2018)
Solar photovoltaic (PV) has been developed rapidly due to its clean and green renewable characteristics. The connection of photovoltaic power generation to the traditional grid system is bound to bring power quality problems. Based on above, this pap
Externí odkaz:
https://doaj.org/article/acf4fb343baf4bdd9337c05698321592
We developed an integrated recurrent neural network and nonlinear regression spatio-temporal model for vector-borne disease evolution. We take into account climate data and seasonality as external factors that correlate with disease transmitting inse
Externí odkaz:
http://arxiv.org/abs/2201.09394
Publikováno v:
In Trends in Parasitology February 2024 40(2):102-105
Autor:
Zhou, Guofa1 (AUTHOR) zhoug@hs.uci.edu, Githure, John2 (AUTHOR), Lee, Ming-Chieh1 (AUTHOR), Zhong, Daibin1 (AUTHOR), Wang, Xiaoming1 (AUTHOR), Atieli, Harrysone2 (AUTHOR), Githeko, Andrew K.3 (AUTHOR), Kazura, James4 (AUTHOR), Yan, Guiyun1 (AUTHOR)
Publikováno v:
Malaria Journal. 3/12/2024, Vol. 23 Issue 1, p1-11. 11p.
As the COVID-19 pandemic evolves, reliable prediction plays an important role for policy making. The classical infectious disease model SEIR (susceptible-exposed-infectious-recovered) is a compact yet simplistic temporal model. The data-driven machin
Externí odkaz:
http://arxiv.org/abs/2010.09077
The outbreaks of Coronavirus Disease 2019 (COVID-19) have impacted the world significantly. Modeling the trend of infection and real-time forecasting of cases can help decision making and control of the disease spread. However, data-driven methods su
Externí odkaz:
http://arxiv.org/abs/2007.10929
Akademický článek
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Autor:
Badu Kingsley, Siangla Joram, Larbi John, Lawson Bernard W, Afrane Yaw, Ong’echa John, Remoue Franck, Zhou Guofa, Githeko Andrew K, Yan Guiyun
Publikováno v:
Malaria Journal, Vol 11, Iss 1, p 318 (2012)
Abstract Background The existing metrics of malaria transmission are limited in sensitivity under low transmission intensity. Robust surveillance systems are needed as interventions to monitor reduced transmission and prevention of rapid reintroducti
Externí odkaz:
https://doaj.org/article/c4c21871516a4ce8aff522826c5cb1d9
Autor:
Badu Kingsley, Afrane Yaw, Larbi John, Stewart Virginia, Waitumbi John, Angov Evelina, Ong'echa John M, Perkins Douglas J, Zhou Guofa, Githeko Andrew, Yan Guiyun
Publikováno v:
BMC Infectious Diseases, Vol 12, Iss 1, p 50 (2012)
Abstract Background Assessment of malaria endemicity at different altitudes and transmission intensities, in the era of dwindling vector densities in the highlands, will provide valuable information for malaria control and surveillance. Measurement o
Externí odkaz:
https://doaj.org/article/cc71dcd265c44034a6a3141cf20e8852