IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v464y2022ics030438002100380x.html
   My bibliography  Save this article

Linking a compartment model for West Nile virus with a flight simulator for vector mosquitoes

Author

Listed:
  • Kerkow, Antje
  • Wieland, Ralf
  • Gethmann, Jörn M.
  • Hölker, Franz
  • Lentz, Hartmut H.K.

Abstract

Compartmental SIR and SEIR models have become the state of the art tools to study infection cycles of arthropod-borne viruses such as West Nile virus in specific areas. In 2018, the virus was detected for the first time in Germany, and incidents have been reported in humans, birds, and horses.

Suggested Citation

  • Kerkow, Antje & Wieland, Ralf & Gethmann, Jörn M. & Hölker, Franz & Lentz, Hartmut H.K., 2022. "Linking a compartment model for West Nile virus with a flight simulator for vector mosquitoes," Ecological Modelling, Elsevier, vol. 464(C).
    • Handle: RePEc:eee:ecomod:v:464:y:2022:i:c:s030438002100380x
    DOI: 10.1016/j.ecolmodel.2021.109840
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002100380X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109840?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wieland, Ralf & Kuhls, Katrin & Lentz, Hartmut H.K. & Conraths, Franz & Kampen, Helge & Werner, Doreen, 2021. "Combined climate and regional mosquito habitat model based on machine learning," Ecological Modelling, Elsevier, vol. 452(C).
    2. T Alex Perkins & Thomas W Scott & Arnaud Le Menach & David L Smith, 2013. "Heterogeneity, Mixing, and the Spatial Scales of Mosquito-Borne Pathogen Transmission," PLOS Computational Biology, Public Library of Science, vol. 9(12), pages 1-16, December.
    3. Melissa Widhalm & Jeffrey S. Dukes, 2020. "Introduction to the Indiana Climate Change Impacts Assessment: overview of the process and context," Climatic Change, Springer, vol. 163(4), pages 1869-1879, December.
    4. Emily Injete Amondo & Emmanuel Nshakira-Rukundo & Alisher Mirzabaev, 2023. "The effect of extreme weather events on child nutrition and health," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(3), pages 571-596, June.
    5. Benkendorf, Donald J. & Schwartz, Samuel D. & Cutler, D. Richard & Hawkins, Charles P., 2023. "Correcting for the effects of class imbalance improves the performance of machine-learning based species distribution models," Ecological Modelling, Elsevier, vol. 483(C).
    6. 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.
    7. Peter Winskill & Danilo O Carvalho & Margareth L Capurro & Luke Alphey & Christl A Donnelly & Andrew R McKemey, 2015. "Dispersal of Engineered Male Aedes aegypti Mosquitoes," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(11), pages 1-18, November.
    8. Schratz, Patrick & Muenchow, Jannes & Iturritxa, Eugenia & Richter, Jakob & Brenning, Alexander, 2019. "Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data," Ecological Modelling, Elsevier, vol. 406(C), pages 109-120.
    9. Fauzia K. Musasia & Irene N. Nkumama & Roland Frank & Victor Kipkemboi & Martin Schneider & Kennedy Mwai & Dennis O. Odera & Micha Rosenkranz & Kristin Fürle & Domitila Kimani & James Tuju & Patricia , 2022. "Phagocytosis of Plasmodium falciparum ring-stage parasites predicts protection against malaria," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    10. Injete Amondo, Emily & Mirzabaev, Alisher & Nshakira-Rukundo, Emmanuel, 2021. "Effect of extreme weather events on child health in rural Uganda," Discussion Papers 311135, University of Bonn, Center for Development Research (ZEF).
    11. Jonathon Day & Natalie Chin & Sandra Sydnor & Melissa Widhalm & Kalim U. Shah & Leslie Dorworth, 2021. "Implications of climate change for tourism and outdoor recreation: an Indiana, USA, case study," Climatic Change, Springer, vol. 169(3), pages 1-21, December.
    12. Damiana Ravasi & Francesca Mangili & David Huber & Laura Azzimonti & Lukas Engeler & Nicola Vermes & Giacomo Del Rio & Valeria Guidi & Mauro Tonolla & Eleonora Flacio, 2022. "Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland," IJERPH, MDPI, vol. 19(6), pages 1-22, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:464:y:2022:i:c:s030438002100380x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.