Malaria continues to be a global public health problem. Statistics from the Centre for Disease Control and Prevention (CDC) show that 3.2 billion people living in 106 countries and territories are at risk of malaria transmission. In 2015, approximately 214 million clinical episodes and 438, 000 malaria deaths were recorded according to the World Malaria Report 2015.
The World Bank has estimated that in Africa, half the population may be at risk, with 47% exposed to medium and high risk. To address the challenge, a report from the University of Pretoria says researchers at the Institute for Sustainable Malaria Control (UP ISMC) use satellite data to predict malaria outbreaks and mHealth to control and monitor the disease. The predicting techniques include Geographical Information Systems (GIS) and satellite imaging to detect environmental factors associated with emerging malaria risks. The team uses the data to improve the accuracy and reliability of predicted malaria outbreaks. The forecasts can look ahead by as much as three to six months. Predications have proven accurate, and shown to be 90% effective.
In 2015, UP ISMC in collaboration with French National Centre for Space Studies, the South African National Space Agency, South African Weather Service and other stakeholders initiated the Remote Sensing for Malaria Control in Africa Programme. It uses satellites to collect data on variables that associated with malaria, and carried out in the northern part of the Vhembe district, Limpopo province, across the border in Matabeleland South province and in Zimbabwe. It’s being extended to Maputo, Mozambique, particularly in Namaacha near the Swaziland, Mozambique and South African borders. This means that malaria outbreaks can be detected and early-warning systems triggered to aid in the fight against malaria.
An article in eHealthNews says UP ISMC uses mSpray and Malaria Buddy apps. Malaria Buddy, avails data on malaria risk, prevention and symptoms for travellers in areas where malaria’s endemic. mSpray focuses on malaria control data management for annual indoor residual spraying programmes, a chosen method for malaria control in locations at risk. Previously, during malaria seasons, spray workers would go into homes and spray walls manually. However, there was no clear database recording on the substances used and no centralised digital database to access to establish if spraying was effective and safe. The new malaria programme hopes to address many of these shortfalls.