Temporal lagged relationship between a vegetation index and cutaneous leishmaniasis cases in Colombia: an analysis implementing a distributed lag nonlinear model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Infectious Diseases,Insect Science,General Veterinary,General Medicine,Parasitology
Link
http://link.springer.com/content/pdf/10.1007/s00436-019-06592-4.pdf
Reference41 articles.
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3. Aguiar GM, Azevedo AC, Medeiros WM et al (2014) Aspects of the ecology of phlebotomines (diptera: psychodidae: phlebotominae) in an area of cutaneous leishmaniasis occurrence, municipality of Angra dos reis, coast of Rio de Janeiro state, Brazil. Rev Inst Med Trop São Paulo 56:143–149. https://doi.org/10.1590/S0036-46652014000200010
4. Alvar J, Vélez ID, Bern C, Herrero M, Desjeux P, Cano J, Jannin J, den Boer M, WHO Leishmaniasis Control Team (2012) Leishmaniasis worldwide and global estimates of its incidence. PLoS One 7:e35671. https://doi.org/10.1371/journal.pone.0035671
5. Artun O (2019) Ecological niche modeling for the prediction of cutaneous leishmaniasis epidemiology in current and projected future in Adana, Turkey. J Vector Borne Dis 56:127–133. https://doi.org/10.4103/0972-9062.263726
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