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Meteorological Problems in the Practical Use of Disease‐forecasting Models 1
Author(s) -
SCHROEDTER H.
Publication year - 1983
Publication title -
eppo bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.327
H-Index - 36
eISSN - 1365-2338
pISSN - 0250-8052
DOI - 10.1111/j.1365-2338.1983.tb01617.x
Subject(s) - representativeness heuristic , microclimate , macro , computer science , meteorology , climatology , environmental science , geography , mathematics , statistics , geology , archaeology , programming language
Difficulties in the practical use of disease forecasting models based on meteorological data result not only from differences between macro and microclimate. Most important is the fact that the network of meteorological stations in most cases is only a wide‐meshed one, not sufficient for taking into account all local characteristics. Examples are given to show the consequences for disease forecasts if meteorological data of insufficient representativeness are used as input for the models. Possibilities for overcoming such difficulties are discussed.