Modelling climatic suitability and dispersal for disease vectors: The example of a phlebotomine sandfly in Europe

Procedia Environmental Sciences

Volumn 7, Issue , 2011, Pages 164-169

  Fischer, D ^a   Thomas, S M ^a   Beierkuhnlein, C ^a  

^a UNIVERSITY OF BAYREUTH   (Germany)

Author keywords

Global warming; Leishmaniasis; MaxEnt; Regional Climate Model; Sandfly borne disease; Species distribution model

Indexed keywords

CLIMATE MODELS; COSTS; GLOBAL WARMING; WIND;

ECOLOGICAL NICHE MODELLING; LEISHMANIASIS; MAXENT; METHODOLOGICAL APPROACH; REGIONAL CLIMATE CHANGES; REGIONAL CLIMATE MODELING; SPECIES DISTRIBUTION MODELING; VECTOR-BORNE DISEASE;

CLIMATE CHANGE;

PHLEBOTOMINAE; PHLEBOTOMUS PERNICIOSUS; PSYCHODIDAE;

EID: 82555204617     PISSN: None     EISSN: 18780296     Source Type: Conference Proceeding    
DOI: 10.1016/j.proenv.2011.07.029     Document Type: Conference Paper

References (26)

1. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, Daszak P. Global trends in emerging infectious diseases. Nature 2008;451:990-3.
2. Fischer D, Thomas S, Beierkuhnlein C. Climate change effects on vector-borne diseases in Europe. Nova Acta Leopoldina 2010;112(384):99-107.
3. Dujardin J-C, Campino L, Canavate C, Dedet J-P, Gradoni L, Soteriadou K, Mazeris A, Ozbel Y, Boelaert M. Spread of vectorborne diseases and neglect of leishmaniasis, Europe. Emerging Infectious Diseases 2008;14:1013-8.
4. Maroli M, Rossi L, Baldelli R, Capelli G, Ferroglio E, Genchi C, et al. The northward spread of leishmaniasis in Italy: Evidence from retrospective and ongoing studies on the canine reservoir and phlebotomine vectors. Tropical Medicine and International Health 2008;13:256-64.
5. Nauche TJ, Pesson B. Presence of Phlebotomus (Transphlebotomus) mascittii Grassie, 1908 (Diptera: Psychodidae) in Germany. Parasitology Research 2000;86:335-6.
6. Fischer D, Thomas SM, Beierkuhnlein C. Temperature-derived potential for the establishment of phlebotomine sandflies and visceral leishmaniasis in Germany. Geospatial Health 2010;5:59-69.
7. Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, Guisan A, et al. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006;29:129-51.
8. Peterson AT. Ecological niche modeling and spatial patterns of diseases transmission. Emerging Infectious Diseases 2006;12:1822-6.
9. De la Roque S, Rioux JA, Slingenbergh J. Climate change: Effects on animal disease systems and implications for surveillance and control. Revue Scientifique Et Technique-Office International Des Epizooties 2008;27:339-54.
10. Ready PD. Leishmaniasis emergence and climate change. Revue Scientifique Et Technique-Office International Des Epizooties 2008;27:399-412.
11. Colacicco-Mayhugh MG, Masuoka PM, Grieco, JP. Applications of ecological niche modeling to enhance medical threat assessment and disease control and prevention strategies. The United States Army Medical Department Journal 2009;Jul/Sep:28-32.
12. Peterson AT, Shaw J. Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: Ecological niche models, predicted geographic distributions, and climate change effects. International Journal for Parasitoloty 2003;33:919-31.
13. Peterson AT, Scacheti Pereira R, Fonseca de Camargo Neves V. Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species. Revista da Sociedade Brasileira de Medcina Tropical 2004;37:10-4.
14. Nieto P, Malone JB, Bavia ME. Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis. Geospatial Healh 2006;1:115-26.
15. Chamaille L, Tran A, Meunier A, Bourdoiseau G, Ready P, Dedet JP. Environmental risk mapping of canine leishmaniasis in France. Parasites & Vectors 2010;3:31.
16. Colacicco-Mayhugh MG, Masuoka PM, Grieco, JP. Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East. International Journal of Health Geographics 2010;9:2.
17. Gonzales W, Wang O, Strutz SE, Gonzalez-Salazar C, Sanchez-Cordero V, Sarkar S. Climate change and risk of leishmaniasis in North America: Predictions from ecological niche models of vector and reservoir species. PLoS Neglected Tropical Diseases 2010;4:e585.
18. Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distribution. Ecological Modeling 2006;190:231-59.
19. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Journal of Climatology 2005;25:1965-78.
20. Rockel B, Will A, Hense A. The Regional Climate Model COSMO-CLM (CCLM). Meteorologische Zeitschrift 2008;17:347-8.
21. Jacob D. Short communication on regional climate change scenarios and their possible use for impact studies on vector-borne diseases. Parasitology Research 2008;103(Suppl.1):3-6.
22. Sutcliffe OL, Bakkestuen V, Fry G, Stabbetorp OE. Modelling the benefits of farmland restoration: methodology and application to butterfly movement. Landscape and Urban Planning 2003;63:15-31.
23. Killick-Kendrick R. The biology and control of phlebotomine sandflies. Clinics in Dermatology 1999;17:279-89.
24. Araujo MB, Luoto M. The importance of biotic interactions for modeling species distributions under climate change. Gobal Ecology and Biogeography 2007;16,743-53.
25. Thuiller W. Patterns and uncertainties of species' range shifts under climate change. Global Change Biology 2004;10:2020-27.
26. Killick-Kendrick R, Wilkes TJ, Bailly M, Bailly I, Righton LA. Preliminary field observations on the flight speed of a phlebotomine sandfly. Transaction of the Royal Society of Tropical Medicine and Hygiene 1986;80,138-42.