Modelling the impact of climate change on spatial patterns of disease risk: Sheep blowfly strike by Lucilia sericata in Great Britain

International Journal for Parasitology

Volumn 41, Issue 7, 2011, Pages 739-746

  Rose, Hannah ^a   Wall, Richard ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Blowfly strike; Climate change; Disease; Lucilia sericata; Maxent; Ovine cutaneous myiasis; Species distribution model

Indexed keywords

ANIMAL HUSBANDRY; CLIMATE CHANGE; CLIMATE EFFECT; DISEASE INCIDENCE; DISEASE SPREAD; DISEASE VECTOR; ECOLOGICAL MODELING; FLY; PARASITE; PREDICTION; SHEEP; SPATIAL DISTRIBUTION; SPATIAL VARIATION; TEMPERATURE GRADIENT; WARMING;

ARTICLE; CALLIPHORIDAE; CLIMATE CHANGE; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; ENVIRONMENTAL TEMPERATURE; FLY; INFECTION RISK; LUCILIA SERICATA; PHENOLOGY; PREDICTION; SEASONAL VARIATION; SHEEP BLOWFLY STRIKE; SHEEP FARMING; SPECIES DISTRIBUTION; STATISTICAL MODEL; SUMMER; UNITED KINGDOM; WINTER; WOLFHARTIA MAGNIFICA;

ANIMALS; CLIMATE CHANGE; DIPTERA; GEOGRAPHY; GREAT BRITAIN; INCIDENCE; MODELS, STATISTICAL; MYIASIS; SHEEP; SHEEP DISEASES;

UNITED KINGDOM;

LUCILIA SERICATA; OVIS;

EID: 79955674102     PISSN: 00207519     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpara.2011.01.012     Document Type: Article

References (65)

1. Adjemian J.C.Z., Girvetz E.H., Beckett L., Foley J.E. Analysis of Genetic Algorithm for Rule-Set Prediction (GARP) modelling approach for predicting distributions of fleas implicated as vectors of plague, Yersinia pestis, in California. J. Med. Ent. 2006, 43:93-103.
2. Barros F.S.M., De Aguiar D.B., Rosa-Freita M.G., Luitgards-Moura J.F., Gurgel H.C., Honório N.A., Arruda M.C., Tsouris P., Vasconcelos S.D. Distribution summaries of malaria vectors in the northern Brazilian Amazon. J. Vector Ecol. 2007, 32:161-167.
3. Biggeri A., Dreassi E., Catelan D., Rinaldi L., Lagazio C., Cringoli G. Disease mapping in veterinary epidemiology: a Bayesian geostatistical approach. Stat. Methods Med. Res. 2006, 15:337-352.
4. Bisdorff B., Wall R., Milnes A. Prevalence and regional distribution of scab, lice and blowfly strike in Great Britain. Vet. Rec. 2006, 158:749-752.
5. Brooker S., Clements A.C.A. Spatial heterogeneity of parasite co-infection: determinants of geostatistical prediction at regional scales. Int. J. Parasitol. 2009, 39:591-597.
6. Broughan J.M., Wall R. Fly abundance and climate as determinants of sheep blowfly strike incidence. Med. Vet. Ent. 2007, 21:231-238.
7. Chamaillé L., Tran A., Meunier A., Bourdoiseau G., Ready P., Dedet J. Environmental risk mapping of canine leishmaniasis in France. Parasite. Vector. 2010, 3:31.
8. Elith J., Leathwick R. Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. S. 2009, 40:677-697.
9. Elith J., Burgman M.A., Regan H.M. Mapping epistemic uncertainties and vague concepts in predictions of species distribution. Ecol. Model. 2002, 157:313-329.
10. Elith J., Graham C.H., Anderson R.P., Dudik M., Ferrier S., Guisan A., Hijmans R.J., Huettmann F., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Loiselle B.A., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M., Peterson A.T., Phillips S.J., Richardson K., Scachetti-Pereira R., Schapire R.E., Soberon J., Williams S., Wisz M.S., Zimmermann N.E. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
11. Franklin J. Mapping species distributions: spatial inference and prediction 2009, Cambridge University Press, Cambridge, UK.
12. French N.P., Wall R., Morgan K.L. The seasonal pattern of blowfly strike in England and Wales. Med. Vet. Ent. 1995, 9:1-8.
13. Gale P., Drew T., Phipps L.P., David G., Wooldridge M. The effect of climate change on the occurrence and prevalence of livestock diseases in Great Britain: a review. J. Appl. Microbiol. 2009, 106:1409-1423.
14. González C., Wang O., Strutz S.E., González-Salazar C., Sánchez-Cordero V., Sarkar S. Climate change and risk of leishmaniasis in North America: predictions from ecological niche models of vector and reservoir species. PLOS Neglect. Trop. D 2010, 4:e585.
15. Guisan A., Thuiller W. Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 2005, 8:993-1009.
16. Hall M.J.R. Traumatic myiasis of sheep in Europe: a review. Parasitologia 1997, 39:409-413.
17. Hall, M.J.R., Farkas, R., 2000. Traumatic myiasis of humans and animals. In: Papp, L., Darvas, B. (Eds.), Manual of Palearctic Diptera. Science Herald, Budapest, Hungary, pp. 751-768.
18. Hanley J.A., McNeil B.J. The meaning and use of the area under the receiver operating characteristic (ROC) curve. Radiology 1982, 143:29-36.
19. Hay S.I., Omumbo J.A., Craig M.H., Snow R.W. Earth observation, geographic information systems and Plasmodium falciparum malaria in Sub-Saharan Africa. Adv. Parasit. 2000, 47:173-215.
20. Hernandez P.A., Graham C.H., Master L.L., Albert D.L. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 2006, 29:773-785.
21. Hernandez P.A., Franke I., Herzog S.K., Pacheco V., Paniagua L., Quintana H.L., Soto A., Swenson J.J., Tovar C., Valqui T.H., Vargas J., Young B.E. Predicting species distributions in poorly-studied landscapes. Biodivers. Conserv. 2008, 17:1353-1366.
22. Intergovernmental Panel on Climate Change, 2007. IPCC Fourth Assessment Report (AR4) - Climate Change 2007: Synthesis Report. Geneva, Switzerland.
23. Iverson L.R., Prasad A.M. Predicting abundance of 80 tree species following climate change in Eastern United States. Ecol. Monogr. 1998, 68:465-485.
24. Jenkins G.J., Murphy J.M., Sexton D.S., Lowe J.A., Jones P., Kilsby C.G. UK Climate Projections: Briefing report 2009, Met Office Hadley Centre, Exeter, UK.
25. Kleinschmidt I., Bagayoko M., Clarke G.P.Y., Craig M., Le Sueur D. A spatial statistical approach to malaria mapping. Int. J. Epidemiol. 2000, 29:355-361.
26. Koopmans M.M.M., Reusken C., van Maanen K. West Nile virus in Europe: waiting for the start of the epidemic. Emerging Pests and Vector-Borne Diseases in Europe 2007, 123-151. Wageningen Academic Publishers, Wageningen, Netherlands. W. Takken, B.G.J. Knols (Eds.).
27. Levine R.S., Peterson A.T., Benedict M.Q. Geographic and ecologic distributions of the Anopheles gambiae complex predicted using a genetic algorithm. Am. J. Trop. Med. H. 2004, 70:105-109.
28. Liu C., Berry P.M., Dawson T.P., Pearson R.G. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 2005, 28:385-393.
29. Masouka P.M., Burke R., Colaccico M., Razuri H., Hill D., Murrell K.D. Predicted geographic ranges for North American sylvatic Trichinella species. J. Parasitol. 2009, 95:829-837.
30. Medlock J.M., Pietzsch M.E., Rice N.V.P., Jones L., Kerrod E., Avenell D., Los S., Ratcliffe N., Leach S., Butt T. Investigation of ecological and environmental determinants for the presence of questing Ixodes ricinus (Acari: Ixodidae) on Gower, South Wales. J. Med. Ent. 2008, 45:314-325.
31. Morgan E.R., Wall R. Climate change and parasitic disease: farmer mitigation?. Trends Parasitol. 2009, 25:308-313.
32. Morgan E.R., Jefferies R., Krajewski M., Ward P., Shaw S.E. Canine pulmonary angiostrongylosis: the influence of climate on parasite distribution. Parasitol. Int. 2009, 58:406-410.
33. Murphy J.M., Sexton D.M.H., Jenkins G.J., Booth B.B.B., Brown C.C., Clark R.T., Collins M., Harris G.R., Kendon E.J., Betts R.A., Brown S.J., Humphrey K.A., McCarthy M.P., McDonald R.E., Stephens A., Wallace C., Warren R., Wilby R., Wood R.A. UK Climate Projections Science Report: Climate change projections 2009, Met Office Hadley Centre, Exeter.
34. Special Report on Emissions Scenarios. A Special Report of Working Group III of the Intergovernmental Panel on Climate Change 2000, Cambridge University Press, Cambridge, UK and New York. N. Nakićenovíc, R. Swart (Eds.).
35. Parmesan C., Yohe G. A globally coherent fingerprint of climate change impacts across natural systems. Nature 2003, 421:37-42.
36. Perry M., Hollis D. The generation of monthly gridded datasets for a range of climatic variables over the United Kingdom. Int. J. Climatol. 2005, 25:1041-1054.
37. Perry B.D., Kruska R., Lessard P., Norval R.A.I., Kundert K. Estimating the distribution and abundance of Rhipicephalus appendiculatus in Africa. Prev. Vet. Med. 1991, 11:261-268.
38. Peterson A.T. Ecological niche modelling and understanding the geography of disease transmission. Veter. Ital. 2007, 43:393-400.
39. Peterson A.T., Shaw J. Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: ecological niche models, predicted geographic distributions, and climate change effects. Int. J. Parasitol. 2003, 33:919-931.
40. Peterson A.T., Ortega-Huerta M.A., Bartley J., Sánchez-Cordero V., Soberón J., Buddemeier R.H., Stockwell D.R.B. Future projections for Mexican faunas under global climate change scenarios. Nature 2002, 416:626-629.
41. Peterson A.T., Martínez-Campos C., Nakazawa Y., Martínez-Meyer E. Time-specific ecological niche modelling predicts spatial dynamics of vector insects and human dengue cases. T. Roy. Soc. Trop. Med. H. 2005, 99:647-655.
42. Phillips S.J., Dudík M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 2008, 31:161-175.
43. Phillips S.J., Dudík M., Schapire R.E. A maximum entropy approach to species distribution modeling. Proceedings of the Twenty-first International Conference on Machine Learning 2004, 472-486. ACM Press, New York.
44. Phillips S.J., et al. Transferability, sample selection bias, background data in presence-only modelling: a response to Peterson et al. (2007). Ecography 2007, 31:272-278.
45. Pitts K.M., Wall R. Adult mortality and oviposition rates in field and captive populations of the blowfly Lucilia sericata. Ecol. Entomol. 2004, 29:727-734.
46. Pritchard G.C., Forbes A.B., Williams D.J.L., Salimi-Bejestani M.R., Daniel R.G. Emergence of fascioliasis in cattle in East Anglia. Vet. Rec. 2005, 157:578-582.
47. Puschendorf R., Carnaval A.C., VanDerWal J., Zumbado-Ulate H., Chaves G., Bolaños F., Alford R.A. Distribution models for the amphibian chytrid Batrachochytrium dendrobatidis in Costa Rica: proposing climatic refuges as a conservation tool. Divers. Distrib. 2009, 15:401-408.
48. Raes N., ter Steege H. A null-model for significance testing of presence-only species distribution models. Ecography 2007, 30:727-736.
49. Randolph S.E. Ticks and tick-borne disease systems in space and from space. Adv. Parasit. 2000, 47:217-243.
50. Randolph S.E. Predicting the risk of tick-borne diseases. Int. J. Med. Microbiol. 2002, 291(Supplement 33):6-10.
51. Rebelo H., Tarroso P., Jones G. Predicted impact of climate change on European bats in relation to their biogeographic patterns. Glob. Change Biol. 2010, 16:561-576.
52. Robinson T.P. Spatial statistics and geographical information systems in epidemiology and public health. Adv. Parasit. 2000, 47:81-128.
53. Rogers D.J., Randolph S.E., Snow R.W., Hay S.I. Satellite imagery in the study and forecast of malaria. Nature 2002, 415:710-715.
54. Rose H., Learmount J., Taylor M., Wall R. Mapping risk foci for endemic sheep scab. Vet. Parasitol. 2009, 165:112-118.
55. Rossi E., Rinaldi L., Musella V., Veneziano V., Carbone S., Gradoni L., Cringoli G., Maroli M. Mapping the main Leishmania phlebotomine vector in the endemic focus of the Mt. Vesuvius in southern Italy. Geospatial Health 2007, 2:191-198.
56. Snoep J.J., Sol J., Sampimon O.C., Roeters N., Elbers A.R.W., Scholten H.W., Borgsteede F.H.M. Myiasis in sheep in the Netherlands. Vet. Parasitol. 2002, 106:357-363.
57. Stockwell D.R.B., Peters D.P. The GARP modelling system: problems and solutions to automated spatial prediction. Int. J. Geogr. Inf. Syst. 1999, 13:143-158.
58. Thomas C.D., Cameron A., Green R.E., Bakkenes M., Beaumont L.J., Collingham Y.C., Erasmus B.F.N., de Siqueira M.F., Grainger A., Hannah L., Hughes L., Huntley B., van Jaarsveld A.S., Midgley G.F., Miles L., Ortega-Huerta M.A., Peterson A.T., Phillips O.L., Williams S.E. Extinction risk from climate change. Nature 2004, 427:145-148.
59. van Dijk J., David G.P., Baird G., Morgan E.R. Back to the future: developing hypotheses on the effects of climate change on ovine parasitic gastroenteritis from historical data. Vet. Parasitol. 2008, 158:73-84.
60. Wall R., Ellse, 2010. Climate change and livestock parasites: integrated management of sheep blowfly strike in a warmer environment. Global Change Biol. doi:10.1111/j.1365-2486.2010.02361.x.
61. Wall R., Cruickshank I., Smith K.E., French N.P., Holme A.S. Development and validation of a simulation model for blowfly strike of sheep. Med. Vet. Ent. 2002, 16:335-346.
62. Ward M.P., Carpenter T.E. Analysis of time-space clustering in veterinary epidemiology. Prev. Vet. Med. 2000, 43:225-237.
63. Wardhaugh K., Morton R., Bedo D., Horton B.J., Mahon R.J. Estimating the incidence of fly myiases in Australian sheep flocks: development of a weather-driven regression model. Med. Vet. Ent. 2007, 21:153-167.
64. Wisz M.S., Hijmans R.J., Li J., Peterson A.T., Graham C.H., Guisan A., Elith J., Dudík M., Ferrier S., Leathwick J.R., Lehmann A., Lohmann L., Loiselle B.A., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.McC., Phillips S.J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Soberón J., Williams S.E., Zimmerman N.E. Effects of sample size on the performance of species distribution models. Divers. Distrib. 2008, 14:763-773.
65. Zaniewski A.E., Lehmann A., Overton J.M. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecol. Model. 2002, 157:261-280.