Shaping zoonosis risk: landscape ecology vs. landscape attractiveness for people, the case of tick-borne encephalitis in Sweden

Parasites and Vectors - Tập 7 - Trang 1-10 - 2014
Caroline B Zeimes1, Gert E Olsson2, Marika Hjertqvist3, Sophie O Vanwambeke1
1Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research (TECLIM), Université Catholique de Louvain (UCL), GEOG, Louvain-la-Neuve, Belgium
2Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Umea, Sweden
3Swedish Institute for Communicable Disease Control (SMI), Stockholm, Sweden

Tóm tắt

In this paper, the hazard and exposure concepts from risk assessment are applied in an innovative approach to understand zoonotic disease risk. Hazard is here related to the landscape ecology determining where the hosts, vectors and pathogens are and, exposure is defined as the attractiveness and accessibility to hazardous areas. Tick-borne encephalitis in Sweden was used as a case study. Three boosted regression tree models are compared: a hazard model, an exposure model and a global model which combines the two approaches. The global model offers the best predictive power and the most accurate modelling. The highest probabilities were found in easy-to-reach places with high landscape diversity, holiday houses, waterbodies and, well-connected forests of oak, birch or pine, with open-area in their ecotones, a complex shape, numerous clear-cuts and, a variation in tree height. While conditions for access and use of hazardous areas are quite specific to Scandinavia, this study offers promising perspectives to improve our understanding of the distribution of zoonotic and vector-borne diseases in diverse contexts.

Tài liệu tham khảo

Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, Daszak P: Global trends in emerging infectious diseases. Nature. 2008, 451: 990-993. FAO: Principles and guidelines for the conduct of microbiological risk assessment. Codex Alimentarius: Food and hygiene basic texts. 1999, Rome: Food and Agriculture Organization of the United Nations, 53-62. Randolph SE: Tick-borne encephalitis virus, ticks and humans: Short-term and long-term dynamics. Curr Opin Infect Dis. 2008, 21: 462-467. Stefanoff P, Rosinska M, Samuels S, White DJ, Morse DL, Randolph SE: A National Case–control Study Identifies Human Socio-Economic Status and Activities as Risk Factors for Tick-Borne Encephalitis in Poland. PLoS One. 2012, 7: e45511. Dumpis U, Crook D, Oksi J: Tick-borne encephalitis. Clin Infect Dis. 1999, 28: 882-890. Parola P, Raoult D: Ticks and tickborne bacterial diseases in humans: An emerging infectious threat. Clin Infect Dis. 2001, 32: 897-928. Randolph SE: Transmission of tick-borne pathogens between co-feeding ticks: Milan Labuda’s enduring paradigm. Ticks Tick Borne Dis. 2011, 2: 179-182. Randolph SE, Gern L, Nuttall PA: Co-feeding ticks: Epidemiological significance for tick-borne pathogen transmission. Parasitol Today. 1996, 12: 472-479. Randolph SE, Miklisová D, Lysy J, Rogers DJ, Labuda M: Incidence from coincidence: Patterns of tick infestations on rodents facilitate transmission of tick-borne encephalitis virus. Parasitology. 1999, 118: 177-186. Lundkvist A, Wallensten A, Vene S, Hjertqvist M: Tick-borne encephalitis increasing in Sweden, 2011. Euro Surveill. 2011, 16: 39. Jaenson TGT, Jaenson DGE, Eisen L, Petersson E, Lindgren E: Changes in the geographical distribution and abundance of the tick Ixodes ricinus during the past 30 years in Sweden. Parasit Vectors. 2012, 5: 8. Medlock JM, Hansford KM, Bormane A, Derdakova M, Estrada-Peña A, George JC, Golovljova I, Jaenson TGT, Jensen JK, Jensen PM, Kazimirova M, Oteo JA, Papa A, Pfister K, Plantard O, Randolph SE, Rizzoli A, Santos-Silva MM, Sprong H, Vial L, Hendrickx H, Zeller H, Van Bortel W: Driving forces for changes in geographical distribution of Ixodes ricinus ticks in Europe. Parasit Vectors. 2013, 6: 1. Jaenson TGT, Hjertqvist M, Bergström T, Lundkvist Å: Why is tick-borne encephalitis increasing? A review of the key factors causing the increasing incidence of human TBE in Sweden. Parasit Vectors. 2012, 5: 184. Jaenson TGT, Eisen L, Comstedt P, Mejlon HA, Lindgren E, BergstrÖm S, Olsen B: Risk indicators for the tick Ixodes ricinus and Borrelia burgdorferi sensu lato in Sweden. Med Vet Entomol. 2009, 23: 226-237. Tack W, Madder M, Baeten L, De Frenne P, Verheyen K: The abundance of Ixodes ricinus ticks depends on tree species composition and shrub cover. Parasitology. 2012, 139: 1273-1281. Lindström A, Jaenson TGT: Distribution of the common tick, Ixodes ricinus (Acari: Ixodidae), in different vegetation types in southern Sweden. J Med Entomol. 2003, 40: 375-378. Shannon C, Weaver W: The mathematical theory of communication. 1949, Urbana: University of Illinois Press Bostedt G, Mattsson L: The value of forests for tourism in Sweden. Ann Tour Res. 1995, 22: 671-680. Lindhjem H: 20 years of stated preference valuation of non-timber benefits from Fennoscandian forests: A meta-analysis. J For Econ. 2007, 12: 251-277. Müller DK: The attractiveness of second home areas in Sweden: A quantitative analysis. Curr Issues Tourism. 2006, 9: 335-350. Nielsen AB, Heyman E, Richnau G: Liked, disliked and unseen forest attributes: Relation to modes of viewing and cognitive constructs. J Environ Manage. 2012, 113: 456-466. Silvennoinen H, Alho J, Kolehmainen O, Pukkala T: Prediction models of landscape preferences at the forest stand level. Landsc Urban Plan. 2001, 56: 11-20. Elith J, Leathwick J, Hastie T: A working guide to boosted regression trees. J Anim Ecol. 2008, 77: 802-813. Zeimes CB, Olsson GE, Ahlm C, Vanwambeke SO: Modelling zoonotic diseases in humans: comparison of methods for hantavirus in Sweden. Int J Health Geogr. 2012, 11: 39. Pearce J, Ferrier S: Evaluating the predictive performance of habitat models developed using logistic regression. Ecol Model. 2000, 133: 225-245. Fawcett T: An introduction to ROC analysis. Pattern Recognit Lett. 2006, 27: 861-874. Vanwambeke SO, Šumilo D, Bormane A, Lambin EF, Randolph SE: Landscape predictors of tick-borne encephalitis in Latvia: Land cover, land use, and land ownership. Vector-Borne Zoonot Dis. 2010, 10: 497-506. Cagnacci F, Bolzoni L, Rosà R, Carpi G, Hauffe HC, Valent M, Tagliapietra V, Kazimirova M, Koci J, Stanko M, Lukan M, Henttonen H, Rizzoli A: Effects of deer density on tick infestation of rodents and the hazard of tick-borne encephalitis. I: Empirical assessment. Int J Parasitol. 2012, 42: 365-372. Rosà R, Pugliese A, Norman R, Hudson PJ: Thresholds for disease persistence in models for tick-borne infections including non-viraemic transmission, extended feeding and tick aggregation. J Theor Biol. 2003, 224: 359-376.