Ayouba Diarra
Biographic Data
| ID | 7029284 |
|---|---|
| NAME | Ayouba Diarra |
| GIVEN NAMES | Ayouba |
| FAMILY NAME | Diarra |
| SIGNATURE | DIARRA A |
| AFFILIATIONS | Malaria Research and Training Center, Faculty of Medicine, Pharmacy and Dentistry, University of Sciences, Techniques and Technologies of Bamako, Bamako BP 1805, Mali |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Spatio-Temporal Dynamic of Malaria Incidence
Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Cl…
Predicting Malaria Transmission Dynamics in Dangassa, Mali
Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent and to act proactively against impending malaria outbreaks. All data were collected over a five-year period (2012-2017) from 1400 persons who sought treatment at Dangassa's community health center. Rainfall, temperature, humidity…
No prominent works on this page.
Spatio-Temporal Dynamic of Malaria Incidence
Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship between those conditions and the incidence of malaria in Dangassa and Koila, Mali. Malaria data was collected through passive case detection at community health facilities of each study site from June 2015 to January 2017. Cl…
Predicting Malaria Transmission Dynamics in Dangassa, Mali
Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent and to act proactively against impending malaria outbreaks. All data were collected over a five-year period (2012-2017) from 1400 persons who sought treatment at Dangassa's community health center. Rainfall, temperature, humidity…
Biology (2 works) · COVID-19 epidemiological studies (2 works) · Malaria (2 works) · Malaria Research and Control (2 works) · Mathematics (2 works) · Mosquito-borne diseases and control (2 works) · Transmission (telecommunications (2 works) · Biological system (1 works) · Climatology (1 works) · Computer Science (1 works)