Collaborative Modeling of the Tick-Borne Disease Social-Ecological System: A Conceptual Framework
Author:
Funder
National Institute of Food and Agriculture
Maine Agricultural and Forest Experiment Station
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10393-023-01669-0.pdf
Reference137 articles.
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2. Aenishaenslin C, Charland K, Bowser N, Perez-Trejo E, Baron G, Milord F, Bouchard C (2022) Behavioral risk factors associated with reported tick exposure in a Lyme disease high incidence region in Canada. BMC Public Health 22(1):1–10. https://doi.org/10.1186/s12889-022-13222-9
3. Aenishaenslin C, Gern L, Michel P, Ravel A, Hongoh V, Waaub JP, Milord F, Bélanger D (2015a) Adaptation and evaluation of a multi-criteria decision analysis model for Lyme disease prevention. PLoS ONE 10(8):1–15. https://doi.org/10.1371/journal.pone.0135171
4. Aenishaenslin, C., Hongoh, V., Cissé, H. D., Hoen, A. G., Samoura, K., Michel, P., Waaub, J. P., & Bélanger, D. (2013). Multi-criteria decision analysis as an innovative approach to managing zoonoses: Results from a study on Lyme disease in Canada. BMC Public Health, 13(1). https://doi.org/10.1186/1471-2458-13-897
5. Aenishaenslin C, Michel P, Ravel A, Gern L, Milord F, Waaub JP, Bélanger D (2015b) Factors associated with preventive behaviors regarding Lyme disease in Canada and Switzerland: A comparative study. BMC Public Health 15(1):1–10. https://doi.org/10.1186/s12889-015-1539-2
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