Results from this analysis can be used to direct national and well as cross-border targeting of interventions, over space, time and by sub-population.
This study provides a preliminary assessment of the impact of short-term climate variations on malaria transmission in Swaziland.
Malar J. 2016; 15: 419.
Published online 2016 Aug 18. doi: 10.1186/s12936-016-1470-8
Towards malaria elimination in the MOSASWA (Mozambique, South Africa and Swaziland) region
Devanand Moonasar, Rajendra Maharaj, Simon Kunene, Baltazar Candrinho, Francisco Saute, Nyasatu Ntshalintshali, and Natashia Morris corresponding author.
Improved pharmacovigilance to monitor and promote the safety of the WHO recommendation is needed.
Tomnod has teamed up with the University of California San Francisco's Malaria Elimination Initiative to develop a population map of Swaziland to assist in planning and implementing malaria elimination activities.
Tomnod uses DigitalGlobe satellite imagery to engage online volunteers to scan small portions of a large area. The volunteers scan the imagery and mark locations of interest to that particular survey. In this case the survey is looking for villages across Swaziland. When buildings are spotted by a volunteer in a polygon, that polygon is marked.
This study demonstrated that imported cases of malaria belonged to networks of people with similar travel patterns. This study may provide novel methods for screening high-risk groups of travellers using both snowball sampling and time-location sampling of networks to identify and treat additional malaria cases.
The high-resolution mapping approaches described here can help elimination programmes understand the epidemiology of a disappearing disease.
Swaziland is working to be the first country in mainland sub-Saharan Africa to eliminate malaria.
Anti-malarial policy changes in neighbouring countries may have had an impact on the prevalence of molecular markers of anti-malarial resistance in Swaziland, and it is hoped that this new information will add to understanding of the regional anti-malarial resistance map.