Linking a compartment model for West Nile virus with a flight simulator for vector mosquitoes
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DOI: 10.1016/j.ecolmodel.2021.109840
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- Wieland, Ralf & Kerkow, Antje & Früh, Linus & Kampen, Helge & Walther, Doreen, 2017. "Automated feature selection for a machine learning approach toward modeling a mosquito distribution," Ecological Modelling, Elsevier, vol. 352(C), pages 108-112.
- Früh, Linus & Kampen, Helge & Kerkow, Antje & Schaub, Günter A. & Walther, Doreen & Wieland, Ralf, 2018. "Modelling the potential distribution of an invasive mosquito species: comparative evaluation of four machine learning methods and their combinations," Ecological Modelling, Elsevier, vol. 388(C), pages 136-144.
- Janet T. Midega & Dave L. Smith & Ally Olotu & Joseph M. Mwangangi & Joseph G. Nzovu & Juliana Wambua & George Nyangweso & Charles M. Mbogo & George K. Christophides & Kevin Marsh & Philip Bejon, 2012. "Wind direction and proximity to larval sites determines malaria risk in Kilifi District in Kenya," Nature Communications, Nature, vol. 3(1), pages 1-8, January.
- G. M. Filippelli & J. L. Freeman & J. Gibson & S. Jay & M. J. Moreno-Madriñán & I. Ogashawara & F. S. Rosenthal & Y. Wang & E. Wells, 2020. "Climate change impacts on human health at an actionable scale: a state-level assessment of Indiana, USA," Climatic Change, Springer, vol. 163(4), pages 1985-2004, December.
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Keywords
Agent-based models; Aedes japonicus japonicus; Germany; Pica pica; SEIR/SIR models; Spatial component;All these keywords.
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