Research
Model variations in predicting incidence of Plasmodium falciparum malaria using 1998-2007 morbidity and meteorological data from south Ethiopia
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* Corresponding author: Eskindir Loha eskindir_loha@yahoo.com
1 Department of Public and Environmental Health, Hawassa University, Ethiopia
2 Centre for International Health, University of Bergen, Norway
Malaria Journal 2010, 9:166 doi:10.1186/1475-2875-9-166
Published: 16 June 2010Additional files
Additional file 1:
Details of the model. Formulae and main features of Transfer Function and univariate ARIMA models.
Format: PDF Size: 30KB Download file
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Additional file 2:
Sequence charts. Sequence charts for each of the 35 locations examined, mean meteorological conditions of 23 and 14 locations. The separate sheets in the Excel file are labeled by the name of the locations corresponding to the data. Data displayed include altitude, available meteorological variable(s) and P. falciparum incidence.
Format: XLS Size: 3.7MB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 3:
Tables S1 to S4: Time series models to predict Plasmodium falciparum malaria incidence at different locations in south Ethiopia. The 35 locations were divided among four tables for ease of presentation. All tables included data on location, altitude, available data used, model structure, goodness of fit, significant variables and model description, serial length and average incidence per month.
Format: PDF Size: 63KB Download file
This file can be viewed with: Adobe Acrobat Reader