OCCURRENCE

Occurrences of neglected tropical disease vectors identified during medical consultations at Mènontin Hospital

Version 1.0 Publié par HOPITAL MENONTIN le 11 novembre 2021 HOPITAL MENONTIN
This occurrence file gives the distribution of neglected tropical disease vectors in Benin. From the diseases, the vectors were identified with the help of Doctors and database managers
Date de publication:
11 novembre 2021
Hébergé par:
HOPITAL MENONTIN
Licence:
CC-BY 4.0

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 4 258 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Téléchargements

Téléchargez la dernière version de la ressource en tant qu'Archive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

Données sous forme de fichier DwC-A (zip) télécharger 4 258 enregistrements dans Anglais (77 kB)  - Fréquence de mise à jour: inconnue
Métadonnées sous forme de fichier EML télécharger dans Anglais (14 kB)
Métadonnées sous forme de fichier RTF télécharger dans Anglais (13 kB)

Versions

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Veuillez noter qu'il s'agit d'une ancienne version du jeu de données.  Les chercheurs doivent citer cette ressource comme suit:

TCHANOU I (2021): Occurrences of neglected tropical disease vectors identified during medical consultations at Mènontin Hospital. v1.0. HOPITAL MENONTIN. Dataset/Occurrence. http://ipt.gbifbenin.org/resource?r=mtn&v=1.0

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est HOPITAL MENONTIN. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 270751ca-48fb-4d9f-96ce-0341f645f861.  HOPITAL MENONTIN publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Benin.

Mots-clé

Occurrence; Alcaligenaceae; Archamoebidae; Arthrodermataceae; Ascarididae; Bifidobacteriaceae; Chlamydiaceae; Clostridiaceae; Culicidae; Enterobacteriaceae

Contacts

Personne ayant créé cette ressource:

Ignace TCHANOU
Data Manager
Hopital de zone de Menontin
Abomey-Calavi
Atlantic
(+229) 98684027

Personne pouvant répondre aux questions sur la ressource:

Ignace TCHANOU
Data Manager
Hopital de zone de Menontin
Abomey-Calavi
Atlantic
(+229) 98684027

Personne ayant renseigné les métadonnées:

Ignace TCHANOU
Data Manager
Hopital de zone de Menontin
Abomey-Calavi
Atlantic
(+229) 98684027

Autres personnes associées à la ressource:

Fournisseur des Métadonnées
Ignace TCHANOU
Data Manager
Hopital de zone de Menontin
229 Abomey-Calavi
Atlantic
BJ
(+229) 98684027

Couverture géographique

Department of Atlantique-Littoral-Mono-Couffo-Collines-Alibori-Oueme

Enveloppe géographique Sud Ouest [6,357, 0,915], Nord Est [11,979, 3,694]

Couverture taxonomique

Animalia; Nematoda; Secernentea; Strongylida; Ancylostomidae

Species  Ancylostoma duodenale

Animalia; Nematoda; Secernentea; Spirurida; Onchocercidae

Species  Brugia timori

Protozoa; Amoebozoa; Lobosa; Amoebida

Species  Entamoeba histolytica

Couverture temporelle

Date de début / Date de fin 2017-10-01 / 2020-09-09

Données sur le projet

Through key objectives, this project is designed to overcome the challenge of lack of capacities in Africa: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program: At least 20 Beninese students and 10 students of other nationalities will be yearly recruited and fully capacitated in the program (Months 4, 16, 28 and beyond the project) (Output 1). The courses will be recorded and shared worldwide (Outcome 4). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals): Through workshops, at least, each year, 50 other GBIF Benin partners will be trained in relevant topics of biodiversity informatics (Months 6, 12, 18, 24, 30, 34 and beyond) (Output 5) Objective 3: Fill data gaps in priority thematic areas of Benin and other countries involved in the project: Trained students will achieve data gaps analysis in priority thematic areas (Months 12 – 36 and beyond) (Output 6) and contribute to fill data gaps (Months 12 – 36 and beyond) (Output 7). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation: Trained students will use data to address needs of information (Months 12 – 36 and beyond) (Output 8) and largely disseminate the results via multimedia (Months 12 – 36 and beyond) (Output 9). Project Objective 5: Enhance staff development: We will provide internship opportunities to strengthen capacities of national trainers and most brilliant students to enable them to sustainably carry on the training of students in the program

Titre Regional graduate course for capacity development in biodiversity informatics in Africa
Identifiant http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/; http://jrsbiodiversity.org/grants/uac-2018/
Financement The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Description du domaine d'étude / de recherche 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.
Description du design 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)

Les personnes impliquées dans le projet:

Personne de Contact
Jean Cossi GANGLO

Méthodes d'échantillonnage

Data related to Neglected Tropical Diseases come from the curative care registers of Benin hospitals

Etendue de l'étude Department of Atlantique-Littoral-Mono-Couffo-Collines-Alibori-Oueme

Description des étapes de la méthode:

  1. Data related to Neglected Tropical Diseases come from the curative care registers of Benin hospitals

Métadonnées additionnelles

Identifiants alternatifs http://ipt.gbifbenin.org/resource?r=mtn