Automated Author Profile

OUEDRAOGO, issouf

Current S-Index

4.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.6

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

65.4%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Tabular dataset for AI-based vector-borne disease prediction

This dataset gathers clinical information about patients diagnosed with malaria, dengue, yellow fever, and typhoid fever, as well as patients excluded from these diseases. The data was collected from the health districts of DO and DAFRA, located in the Hauts-Bassins region of Burkina Faso. The dataset includes 300 records. Among the consultations recorded, 150 are from DAFRA and 150 from DO. The data was preprocessed, and sensitive information such as name, surname, or place of birth was removed. The original form contained 115 questions, but only 109 were retained. The data includes two CSV files: the first, "data.csv," contains the data, and the second, "description.xls," contains the attribute descriptions. Some attributes are present in the description but not in the data, as they were removed due to lack of information.

Authors

  • OUEDRAOGO, issouf ;
  • BORLLI, SOME ;
  • Ouedraogo, Ismaila
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/cf49v47z4cAugust 2025

Tabular dataset for AI-based vector-borne disease prediction

This dataset gathers clinical information about patients diagnosed with malaria, dengue, yellow fever, and typhoid fever, as well as patients excluded from these diseases. The data was collected from the health districts of DO and DAFRA, located in the Hauts-Bassins region of Burkina Faso. The dataset includes 300 records. Among the consultations recorded, 150 are from DAFRA and 150 from DO. The data was preprocessed, and sensitive information such as name, surname, or place of birth was removed. The original form contained 115 questions, but only 109 were retained. The data includes two CSV files: the first, "data.csv," contains the data, and the second, "description.xls," contains the attribute descriptions. Some attributes are present in the description but not in the data, as they were removed due to lack of information.

Authors

  • OUEDRAOGO, issouf ;
  • BORLLI, SOME ;
  • Ouedraogo, Ismaila
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/cf49v47z4c.2August 2025

Tabular dataset for AI-based vector-borne disease prediction

This dataset gathers clinical information about patients diagnosed with malaria, dengue, yellow fever, and typhoid fever, as well as patients excluded from these diseases. The data was collected from the health districts of DO and DAFRA, located in the Hauts-Bassins region of Burkina Faso. The dataset includes 300 records. Among the consultations recorded, 150 are from DAFRA and 150 from DO. The data was preprocessed, and sensitive information such as name, surname, or place of birth was removed. The original form contained 115 questions, but only 109 were retained. The data includes two CSV files: the first, "data.csv," contains the data, and the second, "description.xls," contains the attribute descriptions. Some attributes are present in the description but not in the data, as they were removed due to lack of information.

Authors

  • OUEDRAOGO, issouf
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/cf49v47z4c.1December 2024