Satellite derived forest phenology and its relation with nephropathia epidemica in Belgium

International Journal of Environmental Research and Public Health

Volumn 7, Issue 6, 2010, Pages 2486-2500

  Barrios, José Miguel ^a   Verstraeten, Willem W ^a   Maes, Piet ^b   Clement, Jan ^b   Aerts, Jean Marie ^a   Haredasht, Sara Amirpour ^a   Wambacq, Julie ^b   Lagrou, Katrien ^a   Ducoffre, Geneviève ^c   van Ranst, Marc ^b   Berckmans, Daniel ^a   Coppin, Pol ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b REGA INSTITUTE FOR MEDICAL RESEARCH   (Belgium)

^c SCIENTIFIC INSTITUTE OF PUBLIC HEALTH   (Belgium)

Author keywords

Bank vole; Forest phenology; Hantavirus; Nephropathia epidemica; Remote sensing

Indexed keywords

ARTICLE; BELGIUM; CLIMATE CHANGE; CONTROLLED STUDY; ENVIRONMENTAL IMPACT ASSESSMENT; FOREST DYNAMICS; GEOGRAPHIC DISTRIBUTION; NONHUMAN; PHENOLOGY; PUUMALA VIRUS; SEASONAL VARIATION; VEGETATION DYNAMICS; VIRUS TRANSMISSION;

CLETHRIONOMYS GLAREOLUS; HANTAVIRUS;

EID: 77954770611     PISSN: None     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph7062486     Document Type: Article

References (40)

1. Maes, P.; Clement, J.; Gavrilovskaya, I.; Van Ranst, M. Hantaviruses: Immunology, Treatment and Prevention. Viral Immunol. 2004, 17, 481-497.
2. Escutenaire, S.; Chalon, P.; Verhagen, R.; Heyman, P.; Thomas, I.; Karelle-Bui, L.; Avsic-Zupanc, T.; Lundkvist, A.; Pluysnin, A.; Pastoret, P. Spatial and temporal dynamics of Puumala hantavirus infection in red bank vole (Clethrionomys glareolus) population in Belgium. Virus Res. 2000, 67, 91-107.
3. Heyman, P.; Van Mele, R.; Smajlovic, L.; Dobly, A.; Cochez, C.; Vandenvelde, C. Association between habitat and prevalence of hantavirus infections in bank voles (Myodes glareolus) and wood mice (Apodemus sylvaticus). Vector Borne Zoonotic Dis. 2009, 9, 141-146.
4. Clement, J.; Maes, P.; van Ypersele de Strihou, C.; van der Groen, G.; Barrios, J.M.; Verstraeten, W.W.; van Ranst, M. Beechnuts and outbreaks of nephropathia epidemica (NE): of mast, mice and men. Invited Editorial. Nephrol. Dial. Transplant 2010, DOI: 10.1093/ndt/gfq122.
5. Wolff, J. Population fluctuations of mast-eating rodents are correlated with production of acorns. J. Mammal 1996, 77, 850-856.
6. Flowerdew, J.; Shore, R.; Poulton, S.; Sparks, T. Live trapping to monitor small mammals in Britain. Mammal Rev. 2004, 34, 31-50.
7. Ostfeld, R.; Canham, C.; Oggenfus, K.; Winchcombe, R.; Keesing, F. Climate, deer, rodents and acorns as determinants of variation in Lyme-Disease risk. Plos Biology 2006, 4, 1058-1068.
8. Shimada, T.; Saitoh, T. Re-evaluation of the relationship between rodent populations and acorn masting: a review from the aspects of nutrients and defensive chemicals in acorns. Popul. Ecol. 2006, 48, 341-352.
9. Tersago, K.; Verhagen, R.; Servais, A.; Heyman, P.; Ducoffre, G.; Leirs, H. Hantavirus disease (nephropathia epidemica) in Belgium: effects of tree seed production and climate. Epidemiol. Infect. 2009, 137, 250-256.
10. Clement, J.; Vercauteren, J.; Verstraeten, W.W.; Ducoffre, G.; Barrios, J.M.; Vandamme, M.; Maes, P.; Van Ranst, M. Relating increasing hantavirus incidences to the changing climate: the mast connection. Int. J. Health Geogr. 2009, 8, DOI:10.1186/1476-072X-8-1.
11. Klemola, T.; Pettersen, T.; Stenseth, N. Trophic interactions in population cycles of voles and lemmings: a model-base synthesis. Adv. Ecol. Res. 2003, 33, 75-160.
12. Begon, M.; Telfer, S.; Smith, M.; Burthe, S.; Paterson, S.; Lambin, X. Seasonal host dynamics drive the timing of recurrent epidemics in a wildlife population. Proc. Roy. Soc. B: Biol. Sci. 2009, 276, 1603-1610.
13. McCarty, J. Ecological consequences of recent climate change. Conserv. Biol. 2001, 15, 320-331.
14. Beck, L.; Lobitz, B.; Wood, B. Remote sensing and human health: new sensors and new opportunities. Emerg. Infect. Dis. 2000, 6, 217-226.
15. Glass, G.; Yates, T.; Fine, J.; Shields, T.; Kendall, J.; Hope, A.; Parmenter, C.; Peters, C.; Ksiazek, T.; Li, C.; Patz, J.; Mills, J. Satellite imagery characterizes local animal reservoir populations of Sin Nombre virus in the southwestern United States. Proc. Natl. Acad. Sci. U.S.A. 2002, 99, 16817-16822.
16. Neteler, M. Modis time series remote sensing for epidemiological modelling. In International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, Hanoi, Vietnam, September 2004.
17. Ryan Lash, R.; Brunsell, N.; Peterson, T. Spatiotemporal environmental triggers of Ebola and Marburg virus transmission. Geocarto. Int. 2008, 23, 451-466.
18. Porcasi, X.; Calderón, G.; Lamfri, M.; Gardenal, N.; Polop, J.; Sabattini, M.; Scavuzzo, M. The use of satellite data in modeling population dynamics and prevalence of infection in the rodent reservoir of Junin virus. Ecol. Modell. 2005, 185, 437-449.
19. Glass, G.; Cheek, J.; Patz, J.; Shields, T.; Doyle, T.; Thoroughman, D.; Hunt, D.; Enscore, R.; Gage, K.; Irland, C.; Peters.; Bryan, R. Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome. Emerg. Infect. Dis. 2000, 6, 238-247.
20. Linard, C.; Tersago, K.; Leirs, H.; Lambin, E. Environmental conditions and Puumala virus transmission in Belgium. Int. J. Health Geogr. 2007, 6, DOI:10.1186/1476-072X-6-55.
21. Bennett, E.; Clement, J.; Sansom, P.; Hall, I; Leach, S.; Medlock, J.M. Environmental and ecological potential for enzootic cycles of Puumala hantavirus in Great Britain. Epidemiol. Infect. 2009, DOI:10.1017/S095026880999029X.
22. Schwarz, A.; Ranft, U.; Piechotowski, I.; Childs, J.; Brockmann, S. Risk factors for human infection with puumala virus, southwestern Germany. Emerg. Infect. Dis. 2009, 15, 1032-1039.
23. IPH. Hantavirus-Objectifs et description du réseau de surveillance. Scientific Institute of Public Health. Available online: http://www.iph.fgov.be/EPIDEMIO/epifr/plabfr/plabanfr/08_053f_v.pdf (accessed on July 20, 2009).
24. European Environment Agency. Corine Land Cover. Available online: http://www.eea.europa.eu/themes/landuse/clc-download (accessed on July 15, 2009).
25. Mailles, A.; Sin, M.; Ducoffre, G.; Heyman, P.; Koch, J.; Zeller, H. Larger than usual increase in cases of hantavirus infections in Belgium, France and Germany, June 2005. Euro Surveill. Available online: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=2754 (accessed on May 10, 2009).
26. Clement, J.; McKenna, P.; Colson, P.; Damoiseaux, Ph.; Penalba, C.; Halin, P.; Lombart, D. Hantavirus epidemic in Europe, 1993. Lancet 1994, 343, 114.
27. Peel, M.; Finlayson, B.; McMahon, T. Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sc. 2007, 11, 1633-1644.
28. Koninklijk Meteorologisch Instituut (KMI). De maandnormalen te Ukkel. KMI. Available online: http://www.meteo.be/meteo/view/nl/360955-Maandelijkse+normalen.html (accessed on November 18, 2009).
29. Menzel, A. Phenology, its importance to the Global Change Community Editorial Comment. Climatic Change 2002, 54, 379-385.
30. Vermote, E.; Vermeulen, A. Atmospheric Correction Algorithm: Spectral Reflectances (MOD09). USGS Land Processes Distributed Active Archive Center. Available online: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod08.pdf (accessed on December 10, 2009).
31. Huete, A.; Justice, C; Van Leeuwen, W. Modis Vegetation Index (MOD 13) Algorithm theoretical basis document. Available online: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf (accessed on July 20, 2009).
32. Liu, H.; Huete, A. A Feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Trans. Geosci. Remot. Sen. 1995, 33, 457-465.
33. USGS. Land Processes Distributed Active Archive Center. Surface Reflectance 8-Day L3 Global 500 m. Available online: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/surface_reflectance/8_day_l3_global_500m/mod09a1 (accessed on April 14, 2009).
34. Région Wallone; Gembloux Faculté Universitaire des sciences agronomiques. Projet de Cartographie Numérique de l'Occupation du Sol en Wallonie. Carte Numérique d'Occupation su Sol de Wallonie [CD-ROM]. Belgium, 2007.
35. Jönsson, P.; Eklundh, L. TIMESAT-a program for analyzing time-series of satellite sensor data. Comput. Geosci. 2004, 30, 833-845.
36. Stenseth, N.; Bjornstad, O.; Saitoh, T. Seasonal forcing on the dynamics of Clethrionomys rufocanus: modeling geographic gradients in population dynamics. Res. Pop. Ecol. 1998, 40, 85-95.
37. Linderholm, H. Growing season changes in the last century. Agr. Forest Meteorol. 2006, 137, 1-14.
38. Lindner, M.; Maroshek, M.; Netherer, S.; Kremer, A.; Barbati, A.; García-Gonzalo, J.; Seidl, R.; Delzon, S.; Corona, P.; Kolström, M.; Lexer, M.; Marchetti, M. Climate change impacts, adaptive capacity and vulnerability of European forest ecosystems. Forest Ecol. Manag. 2010, 259, 698-709.
39. Clement, J.; Underwood, P.; Ward, D.; Pilaski, J.; LeDuc, J. Hantavirus outbreak during military manoeuvres in Germany. Lancet 1996, 347, 336.
40. Clement, J.; Maes, P.; Van Ranst, M. Hantaviruses in the Old and New World. In Emerging Viruses in Human Populations, Tabor, E., Ed.; Elsevier: London, UK, 2007; Volume 16, pp. 161-177.