Pilot-study on GIS-based risk modelling of a climate warming induced tertian malaria outbreak in Lower Saxony (Germany).
The area under investigation, Lower Saxony (Northwest Germany), is a former malaria region with highest incidences along the coastal zones. Malaria had finally become extinct in the early 1950s. Subsequently, further scientific investigations in that field declined. Nevertheless, the vector in shape of Anopheles mosquitoes has still been present in Lower Saxony. Thus, the question arises, whether a new autochthon transmission could take place if the pathogen is introduced again and could develop in Anopheles mosquitoes. Answering this question was the first aim of the investigation at hand. The second one was to examine the spatial and temporal structure of potential transmissions in respect to the predicted increase of air temperatures according to the IPCC scenarios. To answer these questions, current information about Anophelinae and their distribution and habitat preferences within Germany were collected by literature research as well as temperature measurements and Anopheles findings were compiled from the German Weather Survey and the Niedersächsisches Landesamt für Okologie (NLO), respectively. The results reveal a climate warming between the 30-years period from 1961 to 1990 and the years between 1985 and 2004. Induced by higher monthly mean temperatures, the risk of a malaria tertiana transmission is consequently increasing for Lower Saxony as temperature is the determining variable of the mathematical model. The study could demonstrate that most parts of the country are located within a 2 months lasting transmission zone. Although Germany is not an endemic malaria zone, the pathogen can enter the country most likely by infected people or imported mosquitoes that transport it in their guts.
Schröder
Winfried
W
Lehrstuhl für Landschaftsökologie, Hochschule Vechta, PF 15 53, 49364 Vechta, Germany. wschroeder@iuw.uni-vechta.de
Schmidt
Gunther
G
Bast
Hubert
H
Pesch
Roland
R
Kiel
Ellen
E
D002980:Climate; D004196:Disease Outbreaks; D040362:Geographic Information Systems; D005858:Germany / Q000453:epidemiology; D006801:Humans; D008288:Malaria / Q000453:epidemiology*; D008962:Models, Theoretical; D010865:Pilot Projects