Agents pathogènes responsables de maladies traitées à l'Hôpital de Mènontin (Cotonou, Sud-Bénin)

Judicaël GAHOU1

1 Master en Biodiversité Informatique (UAC/FSA), Abomey-Calavi, Benin

Corresponding author(s): Judicaël GAHOU (judigahou@gmail.com)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

Gahou J., Tchanou  I., 2019. Agents pathogènes responsables de maladies traitées à l'Hôpital de Mènontin (Cotonou, Sud-Bénin). Jeu de données d’occurrence

Abstract

Le jeu de données comporte des données d'occurrence sur les agents pathogènes responsables de maladies.

Keywords: Occurrence, Hopital, Agents pathogènes, Maladies, Vecteurs, Observation

Project details

Project title: Regional graduate course for capacity development in biodiversity informatics in Africa
Personnel: Jean Cossi Ganglo
Funding: The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Study area descriptions/descriptor: Actually in Benin, we estimate that there are 400 – 600 working biodiversity information scientists in public and private agencies. With few exceptions, the situation is not much different in the rest of African countries. Those biodiversity information scientists usually base their decisions - of biodiversity conservation - on floristic and faunistic compositions of ecosystems and related communities as well as on ecology, ethology and habitat characteristics of different species. This approach becomes limiting to conserve efficiently and sustainably biodiversity in the actual threatening context of climate and global changes exacerbated by diverse pressures on biodiversity. To overcome that limitation, we rather need a critical mass of scientists with sound knowledge in biodiversity informatics to achieve relevant results on spatial distributions, ecological niches… of species and different biota to inform decisions on priority areas of biodiversity.

In order to develop a trained cohort to meet national needs, we believe that Benin needs to train at least an additional 20 master students. Additionally, training each year at least 10 other masters and advanced students from different African countries, will result in progressive but efficient creation of homes of biodiversity informatics to enhance biodiversity conservation and sustainable uses throughout Africa.
Design description: The work plan of the project is presented per objective:

Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program
We will recruit students every year (Activity 1) at least 20 Beninese students and 10 students of other nationalities (Months 4, 16, 28 and beyond) (Output 1).Students will be fully trained in relevant topics of biodiversity informatics by national and international experts (Months 1-36 and beyond) (Activity 2) so that, after two years of training, at least 80% of students successfully graduate (Months 18, 30 and beyond) (Output 2). The courses will be recorded and shared (Months 1-36) (Activity 3) to enable worldwide use and reuse (Outcome 3).

Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals)
Here, we will enhance, through one Professional Skills Workshop per year, capacity buildings to other GBIF Benin partners (Months 6, 18, 30and beyond) (Activity 4) by training yearly, at least 50 of them in relevant topics of biodiversity informatics (Output 4). Therefore, data gap analysis, data The work plan of the project is presented per objective:
Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program
We will recruit students every year (Activity 1) at least 20 Beninese students and 10 students of other nationalities (Months 4, 16, 28 and beyond) (Output 1).Students will be fully trained in relevant topics of biodiversity informatics by national and international experts (Months 1-36 and beyond) (Activity 2) so that, after two years of training, at least 80% of students successfully graduate (Months 18, 30 and beyond) (Output 2). The courses will be recorded and shared (Months 1-36) (Activity 3) to enable worldwide use and reuse (Outcome 3).
Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals)
Here, we will enhance, through one Professional Skills Workshop per year, capacity buildings to other GBIF Benin partners (Months 6, 18, 30and beyond) (Activity 4) by training yearly, at least 50 of them in relevant topics of biodiversity informatics (Output 4). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). 
Objective 3: Whenever deemed relevant, identify and fill data gaps in priority thematic areas of Benin and other countries involved in the project
Whenever relevant, trained students will achieve data gaps analysis (Months 12 – 36 and beyond) (Activity 5) in at least 3 priority thematic areas of their respective countries (Months 12 – 36 and beyond) (Output 5); they will then collect and publish data (Months 12 – 36 and beyond) (Activity 6) to fill the gaps identified (Months 12 – 36 and beyond) (Output 5). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). 
Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation
To attain that objective, trained students will use data (Months 12 – 36 and beyond) (Activity 7) to address needs of information (species, biota spatial distributions and niche models…) to support biodiversity conservation (Months 12 – 36 and beyond) (Output 7). We will then, through Communication and Outreach Workshops (1 per year), achieve communication and outreach (Months 12 – 36 and beyond) (Activity 8) to largely disseminate the products developed, in government agencies, NGOs, universities, private sectors… (Months 12 – 36 and beyond) (Output 8). Therefore, detailed and data products developed will be promoted in decision making (Outcome 5).
Objective 5: Enhance staff development
Here, we will provide internship opportunities to national trainers and most brilliant students to strengthen their capacities so that they can reliably carry on the training of students (Months 1 – 36 and beyond) (Activity 9) to sustain in the program (Outcome 7) collection, and data uses will be promoted (Outcome 4). 

Objective 3: Whenever deemed relevant, identify and fill data gaps in priority thematic areas of Benin and other countries involved in the project
Whenever relevant, trained students will achieve data gaps analysis (Months 12 – 36 and beyond) (Activity 5) in at least 3 priority thematic areas of their respective countries (Months 12 – 36 and beyond) (Output 5); they will then collect and publish data (Months 12 – 36 and beyond) (Activity 6) to fill the gaps identified (Months 12 – 36 and beyond) (Output 5). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). 

Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation
To attain that objective, trained students will use data (Months 12 – 36 and beyond) (Activity 7) to address needs of information (species, biota spatial distributions and niche models…) to support biodiversity conservation (Months 12 – 36 and beyond) (Output 7). We will then, through Communication and Outreach Workshops (1 per year), achieve communication and outreach (Months 12 – 36 and beyond) (Activity 8) to largely disseminate the products developed, in government agencies, NGOs, universities, private sectors… (Months 12 – 36 and beyond) (Output 8). Therefore, detailed and data products developed will be promoted in decision making (Outcome 5).

Objective 5: Enhance staff development
Here, we will provide internship opportunities to national trainers and most brilliant students to strengthen their capacities so that they can reliably carry on the training of students (Months 1 – 36 and beyond) (Activity 9) to sustain in the program (Outcome 7) 

Data published through GBIF: http://ipt.gbifbenin.org/resource?r=hopital_menontin

Taxonomic coverage

Taxonomic ranks
Kingdom: Bacteria, Viruses, Animalia

Spatial coverage

General spatial coverage: Bénin
Coordinates: 6°15'43.2''N and 12°28'4.8''N Latitude; 0°40'44.4''E and 3°54'10.8''E Longitude 

Temporal coverage: November 14, 1931 - March 28, 2017

Datasets

Dataset description
Object name: Darwin Core Archive Agents pathogènes responsables de maladies traitées à l'Hôpital de Mènontin (Cotonou, Sud-Bénin)
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://ipt.gbifbenin.org/archive.do?r=hopital_menontin
Publication date of data: 2019-04-28
Language: French
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: French
Date of metadata creation: 2019-04-28
Hierarchy level: Dataset