A new tool to predict epidemics of malaria up to five months in advance has been developed by a scientist at the University of Liverpool.
The model uses predictions of climate variability to indicate the level of risk of an epidemic up to five months in advance of the peak malaria season – the earliest point at which predictions have ever been made. The model will assist doctors and health care providers in preventing and controlling the disease.
Malaria is one of the world’s deadliest diseases, killing more than one million people every year, as well as infecting a further 500 million worldwide. The mosquito-borne illness is endemic in several regions globally, but is most acute in Africa, home to an estimated 90 per cent of all cases.
Joanna Robotham | alfa
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