Spatial modelling of the potential temperature-dependent transmission of vector-associated diseases in the face of climate change: Main results and recommendations from a pilot study in Lower Saxony (Germany)

Parasitology Research

Volumn 103, Issue SUPPL. 1, 2008, Pages

  Schröder, Winfried ^a   Schmidt, Gunther ^a  

^a UNIVERSITY OF VECHTA   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; ARTICLE; CLIMATE CHANGE; DISEASE TRANSMISSION; ENVIRONMENTAL MONITORING; GERMANY; MALARIA; PILOT STUDY; PRIORITY JOURNAL; SEXUAL BEHAVIOR; STATISTICAL MODEL; TEMPERATURE DEPENDENCE;

ANIMALS; ANOPHELES; CLIMATE; COMPUTER SIMULATION; DISEASE VECTORS; GERMANY; HUMANS; MALARIA; PILOT PROJECTS; RISK ASSESSMENT;

ANOPHELES (GENUS); ANOPHELES ATROPARVUS;

EID: 56649086801     PISSN: 09320113     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00436-008-1051-z     Document Type: Article

References (67)

1. Anderson RM, May RM (1991) Infectious diseases of humans: Dynamics and control. Oxford University Press, Oxford
2. Bailey NTJ (1982) The biomathematics of malaria. Biomathematics of diseases 1. Griffin, London
3. M Baylis H Bouayoune J Touti HEL Hasnaoui 1998 Use of climatic data and satellite imagery to model the abundance of Culicoides imicola, the vector of African horse sickness virus, in Morocco Med Vet Entomol 12 255 266
4. Becker K, Müssig-Zufika M, Conrad A, Lüdecke A, Schulz C, Seiwert M, Kolossa-Gehring M, (2008) German environmental survey for children 2003/06-GerES IV-human biomonitoring. levels of selected substances in blood and urine of children in Germany. WaBoLu-Hefte 01/08 (ISSN 1862-4340. Environmental research of Federal Ministry of the Environment, Nature Conservation and Nuclear Safety, Research Report 202 62 219, UBA-FB 001026 by Federal Environment Agency/Umweltbundesamt, Dessau-Roßlau, and Robert Koch-Institut/RKI, Berlin. On behalf of the Federal Environment Agency)
5. Brookmeyer R, Stroup D (2004) Monitoring the health of populations: statistical principles and methods for public health surveillance. Oxford University Press, New York
6. AJ Davis LS Jenkinson JH Lawton B Shorrocks S Wood 1998 Making mistakes when predicting shifts in species range in response to global warming Nature 391 783 786
7. K Dietz 1993 The estimation of the basic reproduction number for infectious diseases Stat Methods Med Res 2 23 41
8. Dreesmann M (2004) Geoservices. Kurzdokumentation von OGC basierten Geoservices, GIB, Potsdam
9. R Eritja C Aranda J Padrós M Goula J Lucientes R Escosa E Marquès F Cáceres 2000 An annotated checklist and bibliography of the mosquitoes of Spain (Diptera: Culicidae) Eur Mosq Bull 8 11 42
10. A Estrada-Pena 1998 Geostatistics and remote sensing as predictive tools of tick distribution: a cokriging system to estimate Ixodes scapularis (Acari: Ixodidae) habitat suitability in the United States and Canada from advanced very high resolution radiometer satellite imagery J Med Entomol 35 989 995
11. A Gemperli P Vounatsou N Sogoba T Smith 2006 Malaria mapping using transmission models. Application to survey data from Mali Am J Epidemiol 163 289 297
12. CA Gill 1921 The role of meteorology on malaria Indian J Med Res 8 633 693
13. CA Gill 1923 The prediction of malaria epidemics Indian J Med Res 10 1136 1143
14. Gimnig JE, Hightower AW, Hawley WA (2005) Application of geographic information systems to the study of the ecology of mosquitoes and mosquito-borne diseases. In: Takken W, Martens P, Bogers RJ (eds) Environmental change and malaria risk. Global and local implications. Springer, Dordrecht, pp 15-26
15. GE Glass FP Amerasinghe JM Morgan TW Scott 1994 Predicting Ixodes scapularis abundance on white-tailed deer using geographic information systems Am J Trop Med Hyg 51 538 544
16. SI Hay J Cox DJ Rogers SE Randolph DI Stern GD Shanks MF Myers RW Snow 2002 Climate change: regional warming and malaria resurgence-reply Nature 420 628 628
17. Hendrickx G, Biesemans J, de Deken R (2004) The use of GIS in veterinary parasitology. In: Durr PA, Gatrell AC (eds) GIS and spatial analysis in veterinary science. CABI, Wallingford
18. Hoshen MB, Morse AP (2005) A model structure for estimating malaria risk. In: Takken W, Martens P, Bogers RJ (eds) Environmental change and malaria risk: global and local implications. Springer, Dordrecht, pp 41-50
19. IPCC (Intergovernmental Panel of Climate Change) (2001) Climate change. The scientific basis. Cambridge University Press, Cambridge
20. Jetten TH, Takken W (1994) Anophelism without malaria. Agricultural Univ. Papers 94, Wageningen
21. H Kampen E Kiel W Schröder 2007 Blauzungenkrankheit in Deutschland 2006. Epizootiologischer Hintergrund, entomologische Analyse und notwendige Konsequenzen UWSF Z Umweltchem Ökotox 19 37 46
22. GF Killeen FE McKenzie BD Foy C Schieffelin PF Billingsley JC Beier 2000 A simplified model for predicting malaria entomologic inoculation rates based on entomologic and parasitologic parameters relevant to control Am J Trop Med Hyg 62 535 544
23. U Kitron 2000 Risk maps: transmission and burden of vector-borne diseases Parasitol Today 16 324 325
24. U Kitron H Pener C Costin L Orshan Z Greenberg U Shalom 1994 Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992 Am J Trop Med Hyg 50 550 556
25. I Kleinschmidt M Bagayoko GPY Clarke M Craig D Le Sueur 2000 A spatial statistical approach to malaria mapping Int J Epidemiol 29 355 361
26. Korduan P, Zehner ML (2008) Geoinformation im Internet. Technologien zur Nutzung raumbezogener Informationen im WWW. Wichmann, Heidelberg
27. A Krüger A Rech XZ Su E Tannich 2001 Two cases of autochthonous Plasmodium falciparum malaria in Germany with evidence for local transmission by indigenous Anopheles plumbeus Trop Med Int Help 6 983 985
28. B Kubica-Biernat 1999 Distribution of mosquitoes (Diptera: Culicidae) in Poland Eur Mosq Bull 5 1 17
29. SW Lindsay L Parson CJ Thomas 1998 Mapping the ranges and relative abundance of the two principal African malaria vectors, Anopheles gambiae sensu stricto and An. arabiensis, using climate data Proc Roy Soc Lond B Biol Sci 265 847 854
30. SW Lindsay CJ Thomas 2001 Global warming and risk of vivax malaria in Great Britain Glob Change Hum Health 2 80 84
31. Maier WA, Grunewald J, Habedank B, Hartelt K, Kampen H, Kimmig P, Naucke T, Oehme R, Vollmer A, Schöler A, Schmitt C (2003) Mögliche Auswirkungen von Klimaveränderung auf die Ausbreitung von primär humanmedizinisch relevanten Krankheitserregern über tierische Vektoren sowie auf die wichtigen Humanparasiten in Deutschland. Climate Change 05/03, Umweltbundesamt, Berlin
32. P Martens RS Kovats S Nijhof P de Vries MTJ Livermore DJ Bradley J Cox AJ McMichael 1999 Climate change and future population at risk of malaria Glob Environ Change 9 89 107
33. Martens P, Thomas C (2005) Climate change and malaria risk: complexity and scaling. In: Takken W, Martens P, Bogers RJ (eds) Environmental change and malaria risk. Global and local implications. Springer, Dordrecht, pp 3-14
34. PH Martin MG Lefebvre 1995 Malaria and climate: sensitivity of malaria potential transmission to climate Ambio 24 200 207
35. N Mühlberger T Jelinek J Gascon M Probst T Zoller M Schunk J Beran I Gjørup RH Behrens J Clerinx A Björkman P McWhinney A Matteelli R Lopez-Velez Z Bisoffi U Hellgren S Puente ML Schmid B Myrvang ML Holthoff-Stich H Laferl C Hatz H Kollaritsch A Kapaun J Knobloch J Iversen A Kotlowski DJM Malvy P Kern G Fry H Siikamaki MH Schulze G Soula M Paul J Gómez i Prat V Lehmann O Bouchaud S da Cunha J Atouguia G Boecken 2004 Epidemiology and clinical features of vivax malaria imported to Europe: Sentinel surveillance data from TropNetEurop Malaria J 3 5
36. Mühlens P (1930) Malaria. Neue Deutsche Klinik. Handwörterbuch der Praktischen Medizin mit besonderer Berücksichtigung der Inneren Medizin, der Kinderheilkunde und ihrer Grenzgebiete VII (31):122-149
37. Müller M, Augstein B (2005) Das Hamburger Umweltinformationssystem HUIS-integration von Umweltdaten auf Basis eines GDI-Ansatzes. In: Fischer-Stabel P (Hrsg) Umweltinformationssysteme. Wichmann, Heidelberg, pp. 246-263
38. JA Patz M Hulme C Rosenzweig TD Mitchell RA Goldberg AK Githeko S Lele AJ McMichael D Le Sueur 2002 Climate change: regional warming and malaria resurgence Nature 420 627 628
39. Peng ZR, Tsou MH (2003) Internet GIS: Distributed geographic information services for the internet and wireless networks. Wiley, Hoboken, NJ
40. P Reiter 2000 Malaria and global warming in perspective? Emerg Infect Dis 6 438 439
41. DJ Rogers SE Randolph 2000 The global spread of malaria in a future, warmer world Science 289 1763 1766
42. R Romi G Pierdominici C Severini A Tamburo M Cocchi D Menichetti E Pili A Marchi 1997 Status of malaria vectors in Italy J Med Entomol 34 263 271
43. F Schaffner 1998 A revised checklist of French mosquitoes Eur Mosq Bull 2 1 9
44. Schmidt G, Schröder W (2007): Flächenhafte Szenarien zur potenziellen Ausbreitung von Malaria vivax in Niedersachsen in Abhängigkeit steigender Lufttemperaturen. In: Strobl J, Blaschke Th, Griesebner G (Hrsg): Angewandte Geoinformatik 2007. Beiträge zum 19. Agit-Symposium: 670-680
45. W Schröder 2006 GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology Int J Med Microbiol 296 Suppl 40 23 36
46. W Schröder G Schmidt 2007 Vektorassoziierte Krankheiten im Klimawandel: Risiken in einem ehemals endemischen Malariagebiet Nordwest-Deutschlands? GIS Business 10 12 20
47. W Schröder H Bast R Pesch G Schmidt E Kiel 2007 Flächenhafte Modellierung der potenziellen Reproduktionsrate des Malaria-Erregers Plasmodium vivax in Anopheles atroparvus auf Grundlage gemessener und prognostizierter Lufttemperaturen in Niedersachsen UWSF - Z Umweltchem Ökotox 19 115 122
48. W Schröder G Schmidt H Bast R Pesch E Kiel 2007 Pilot-study on GIS-based risk modelling of a climate warming induced tertian malaria outbreak in Lower Saxony (Germany) Environ Monit Assess 133 483 493
49. W Schröder G Schmidt J Hasenclever 2005 Bioindication of climate change by means of mapping plant phenology on a regional scale. A geostatistically based correlation analysis of data on air temperature and phenology by the example of Baden-Württemberg (Germany) Environ Monit Assess 130 27 43
50. Schröder W, Schmidt G, Hornsmann I (2006) Landschaftsö kologische Raumgliederung Deutschlands. In: Fränzle O, Müller F, Schröder W (Eds) Handbuch der Umweltwissenschaften. Grundlagen und Anwendungen der Ökosystemforschung. ecomed, München, Kap. V-1.9, 17. Erg.Lfg.:1-100
51. J Small SJ Goetz SI Hay 2003 Climatic suitability for malaria transmission in Africa 1911-1995 Proc Natl Acad Sci USA 100 15341 15345
52. DL Smith FE McKenzie 2004 Statics and dynamics of malaria infection in Anopheles mosquitoes Malaria J 3 13
53. RW Snow E Gouws J Omumbo B Rapuoda MH Craig FC Tanser D le Suer J Ouma 1998 Models to predict the intensity of Plasmodium falciparum transmission: applications to the burden of disease in Kenya Trans Roy Soc Trop Med H 92 601 606
54. Snow RW, Ikoku A, Omumbo J, Ouma J (1999) The epidemiology, politics and control of malaria epidemics in Kenya: 1900-1998. Roll Back Malaria. Resource network on epidemics. World Health Organisation, Nairobi
55. Spath D, Günther J (2005) Open Source Software - Strukturwandel oder Strohfeuer? - Eine empirische Studie zu Trends und Entwicklungen zum Einsatz von Open Source Software in der öffentlichen Verwaltung und IT-Unternehmen in Deutschland. http://www.iao.fraunhofer.de/d/oss_studie.pdf
56. Takken W, Martens P, Bogers R J (Eds) (2005) Environmental change and malaria risk. Global and local implications. Springer, Dordrecht
57. Teutsch SM, Churchill RE (1994) Principles and practice of public health surveillance. Oxford University Press, New York
58. Wakefield JC, Best NG, Waller L (2000) Bayesian approaches to disease mapping. In: Elliott P, Wakefield JC, Best NG, Briggs DG (eds) Spatial epidemiology: methods and applications. Oxford University Press, Oxford, pp 104-127
59. Waller LA, Gotway CA (2004) Applied spatial statistics for public health data. Wiley, New York
60. LA Waller BJ Goodwin ML Wilson RS Ostfeld SL Marshall EB Hayes 2007 Spatio-temporal patterns in county-level incidence and reporting of Lyme disease in the northeastern United States, 1990-2000 Environ Ecol Stat 14 83 100
61. Webster R, Oliver MA (2001) Geostatistics for environmental scientists. John Wiley & Sons, Ltd., Chichester, New York
62. F Weyer 1956 Bemerkungen zum Erlöschen der ostfriesischen Malaria und zur Anopheles-Lage in Deutschland Z Tropenmed Parasitol 7 219 228
63. WHO (World Health Organistion) (2004) Using climate to predict infectious disease outbreaks. A review. Geneva
64. A Wilke E Kiel W Schröder H Kampen 2006 Anophelinae (Diptera: Culicidae) in ausgewählten Marschgebieten Niedersachsens: Bestandserfassung, Habitatbindung und Interpolation Mitt Dtsch Ges Allg Angew Ent 15 357 362
65. ML Wilson 1998 Distribution and abundance of Ixodes scapularis (Acari: Ixodidae) in NorthAmerica: ecological processes and spatial analysis J Med Entomol 35 446 457
66. Williams S (2002) Free as in freedom. Richard Stallman's crusade for free software. O'Reilly, Sebastopol, Cambridge, pp. 240
67. ML Wilson AM Ducey TS Litwin TA Gavin A Spielman 1990 Microgeographic distribution of immature Ixodes dammini ticks correlated with that of deer Med Vet Entomol 4 151 159