Climate Model may Help Predict Malaria Outbreaks

Malaria outbreaks in India can be predicted with the help of a climate model, say scientists.

The number of heavy rainfall events in India has increased over the past 50 years, but research has tended to focus on the impact this has on agriculture rather than the vector-borne diseases, such as malaria and Japanese Encephalitis.

Malaria - Causes, Symptoms, Diagnosis, Prevention, Treatment
Malaria is caused by a parasite that enters blood through the bite of an infected mosquito. It is characterized by fever, vomiting, shivering, sweating and other symptoms.

The University's School of Environmental Sciences is working with the Council of Scientific and Industrial Research's (CSIR) Centre for Mathematical Modelling and Computer Simulation (C-MMACS), Bangalore, to develop technology that will help decision makers and planners target areas that are prone to large scale climate variability and malaria epidemics.

The model could help inform early intervention methods to prevent the spread of malaria at key points in the seasonal monsoon cycle, reducing the economic and health impacts of the disease.

"We already know that an anomalous season of heavy rainfall, when heat and humidity are high, allows insects such as mosquitoes to thrive and spread infection to humans," Dr Andy Morse, from the University's School of Environmental Sciences, said.

About Mosquito Diseases
Mosquito-borne diseases, like malaria, filaria, dengue, etc are common in places conducive of mosquito breeding. Swamps, ponds and stagnated drainage provide optimal breeding ground for mosquitoes.

"In order to prepare health services and prevent epidemics we must have a way of predicting when these events are likely to occur in areas that are not accustomed to annual outbreaks of malaria.

"Liverpool has developed human and animal disease models that can be integrated into seasonal forecasting systems to give a picture of what the climate impacts on disease risk will be like in four to six months time."

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Dr Prashant Goswami, from C-MMACS, India, said that they are "rapidly developing our computer modelling capabilities using technology that can address the impacts of climate variability on agriculture and water systems."

"This knowledge, together with the Liverpool models of vector-borne diseases, will help us develop systems to predict when changes in the monsoonal rain may occur and which areas are most likely to see an increase in malaria.

Malaria Prevention Rescues Children
Malaria is still a major disease universally, however while funding projects are working hard to progress malaria prevention it is complicated to measure how effectiveness of these interventions.

"Health authorities in India are already very successful at controlling malaria cases, but this new research should support decision makers in keeping ahead of the more serious occurrences of the disease, which is starting to increase across the country alongside the changing climate conditions," Dr Goswami added.

Source-ANI