Malaria intervention scale-up in Africa: effectiveness predictions for health programme planning tools, based on dynamic transmission modelling

Health improvements following malaria intervention scale-up vary with endemicity, seasonality, age and time. Statistical models can emulate epidemiological dynamics and inform strategic planning and target setting for malaria control.

Author: , , , , , , ,
Publication date: August 2016
Source: Malaria Journal

Distribution of malaria exposure in endemic countries in Africa considering country levels of effective treatment

When coverage of effective treatment is taken into account, higher country level estimates of average EIR and thus higher disease burden, are obtained for a given prevalence level, especially where access to treatment is high, and prevalence relatively low. These methods provide a unified framework for comparison of both the immediate and longer-term impacts of case management and of preventive interventions.

Author: , , , , , , ,
Publication date: April 2015

Modelling the cost-effectiveness of mass screening and treatment for reducing Plasmodium falciparum malaria burden

A paper that reports simulations of the incremental cost-effectiveness of well-conducted mass screening and treatment (MSAT) campaigns as a strategy for P. falciparum malaria disease-burden reduction in settings with varying receptivity (ability of the combined vector population in a setting to transmit disease) and access to case   management.

Author: , ,
Publication date: January 2013
Source: Malaria Journal