Malaria Predictions Based On Seasonal Climate Forecasts In South Africa Publisher correction; open access; published: 05 february 2020; publisher correction: malaria predictions based on seasonal climate forecasts in south africa: a time series distributed lag. The prediction accuracy decreased as the lead time increased but retained fairly good performance (r > 0.7) up to the 16 week ahead prediction. the demonstration of the malaria prediction process.
Malaria Predictions Based On Seasonal Climate Forecasts In South Africa This corrects the article "malaria predictions based on seasonal climate forecasts in south africa: a time series distributed lag nonlinear model" in volume 9, 17882. correction to: scientific reports 10.1038 s41598 019 53838 3, published online 29 november 2019. Publisher correction: malaria predictions based on seasonal climate forecasts in south africa: a time series distributed lag nonlinear model sci rep . 2020 feb 5;10(1):2229. doi: 10.1038 s41598 020 58890 y. A total of 53,689 patients who were diagnosed with malaria were included in the present study. mean age of the patients was 25.2 years (standard deviation (sd) = 17.7); 55.2% were male and 44.8%. The prediction accuracy decreased as the lead time increased but retained fairly good performance (r > 0.7) up to the 16 week ahead prediction. the demonstration of the malaria prediction process based on the seasonal climate forecasts showed the short term predictions coincided closely with the observed malaria cases.
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