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Efficacy of artesunate-amodiaquine for the treatment of acute uncomplicated falciparum malaria in southern Mauritania |
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| Authors: | Ouldabdallahi Mohamed Alew Ismail Salem Mohamed Salem Ould Ahmedou dit Dialaw Ba Mamadou Boukhary Ali Ould Mohamed Salem Khairy Mohamed Lemine Ould Aziz Mohamed Boubacar Abdel Ringwald Pascal Basco Leonardo K Niang Saidou Doro Lebatt Sid Mohamed |
| Affiliation: | 1. Department of Community Health Development, AUT University, Auckland, New Zealand 2. Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK 3. Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK 4. KEMRI Wellcome Trust Research Programme, Kilifi, Kenya 5. Nuffield Department of Clinical Medicine, Centre for Tropical Medicine, University of Oxford, Oxford, UK |
| Abstract: | Mathematical analyses and modelling have an important role informing malaria eradication strategies. Simple mathematical approaches can answer many questions, but it is important to investigate their assumptions and to test whether simple assumptions affect the results. In this note, four examples demonstrate both the effects of model structures and assumptions and also the benefits of using a diversity of model approaches. These examples include the time to eradication, the impact of vaccine efficacy and coverage, drug programs and the effects of duration of infections and delays to treatment, and the influence of seasonality and migration coupling on disease fadeout. An excessively simple structure can miss key results, but simple mathematical approaches can still achieve key results for eradication strategy and define areas for investigation by more complex models. |
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