Automated Author ProfileGuissou, Edwige
Institut de Recherche en Sciences de la Santé - Burkina Faso0000-0001-9285-027x
Guissou, Edwige
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In the fight against malaria, transmission blocking interventions (TBIs) such as transmission blocking vaccines or drugs, are promising approaches to complement conventional tools. They aim to prevent the infection of vectors and thereby reduce the subsequent exposure of a human population to infectious mosquitoes. The effectiveness of these approaches has been shown to depend on the initial intensity of infection in mosquitoes, often measured as the mean number of oocysts resulting from an infectious blood meal in absence of intervention. In mosquitoes exposed to a high intensity of infection, current TBI candidates are expected to be ineffective at completely blocking infection but will decrease parasite load and therefore, potentially also affect key parameters of vector transmission. The present study investigated the consequences of changes in oocyst intensity on subsequent parasite development and mosquito survival. To address this, we experimentally produced different intensities of infection for Anopheles gambiae females from Burkina Faso by diluting gametocytes from three natural Plasmodium falciparum local isolates and used a newly developed non-destructive method based on the exploitation of mosquito sugar feeding to track parasite and mosquito life history traits throughout sporogonic development. This dataset provides the code (for R software) and R data used for statistical analysis to estimate: the effect of parasite density on parasite extrinsic incubation period ; the effect of parasite density on mosquito survival ; the infection prevalence and intensity in mosquito gut at 7 days post blood meal (dpbm) ; the infection prevalence and intensity in mosquito head/thoraces upon death.
Authors
- Guissou, Edwige ;
- Cohuet, Anna ;
- Lefèvre, Thierry ;
- Da, Dari Frédéric ;
- Hien, Domombabele François De Sales ;
- Yameogo, Koudraogo Bienvenu ;
- Yerbanga, Rakiswendé Serge ;
- Ouédraogo, Anicet Georges ;
- Dabiré, Kounbobr Roch