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

Occurrence
Dernière version Publié par HOPITAL MENONTIN le juin 7, 2022 HOPITAL MENONTIN
Date de publication:
7 juin 2022
Publié par:
HOPITAL MENONTIN
Licence:
CC-BY 4.0

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Description

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

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.

Versions

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

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

TCHANOU I (2022): Occurrences of neglected tropical disease vectors identified during medical consultations at Mènontin Hospital. v1.2. HOPITAL MENONTIN. Dataset/Occurrence. http://ipt.gbifbenin.org/resource?r=mtn&v=1.2

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est HOPITAL MENONTIN. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

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

Ignace TCHANOU
  • Fournisseur Des Métadonnées
  • Créateur
  • Personne De Contact
Data Manager
Hopital de zone de Menontin
Abomey-Calavi
Atlantic
(+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

This project is designed to provide data solutions to support expressed decisions making of three government institutions. Through workshops, the desired decisions the end-users are willing to make will be examined so as to clearly identify the appropriated needs of information and related key research questions to be answered. Data needs will then be adequately identified and, data mobilization in free access databases like GBIF, data gap analysis on available data, and complementary data mobilization in data holdings will be planned. Data mobilization, data and checklist publications on GBIF site will then be achieved. Under the supervision of trainers and project advisor, students in the master program, through their master research topics will achieve, in response to the key research questions, adequate data analysis and address the required needs of information to support decisions making of government institutions. Following the evaluation process by end-users, a plan will be set in place through partnership agreements between parties so as to enable the establishment of workflows and refinement of data mobilization and data solutions to fit more conveniently in decisions making during and beyond the project. Data solutions will be used in national biodiversity policy and international biodiversity platforms. Indicators towards the achievements of SDG and CBD targets as well as information on biodiversity assessments will be provided to end-users.

Titre Data use to inform decisions on biodiversity conservation and public health in Benin
Identifiant BID-AF2020-083-USE
Financement The funding of this project is generously provided by European Union in the framework of Biodiversity Information for Development program managed by GBIF Secretariat
Description du domaine d'étude / de recherche The data digitized and published in the framework of this project are gathered throughout the whole country with respect to the data needs to inform decisions in the three partner institutions
Description du design The design is detailed according to the objectives of the project The initial planning phase will be achieved in the framework of workshops during which the consortium members and their collaborators, students, and supervisors of theses of the master program will be invited. The end-users from DGEFC, CENAGREF, and Hôpital Menontin will present their needs of information and the decisions they wish to support. The needs of information will be reformulated into key questions to be answered with respect to the decisions to be supported so as to identify the possible information resources to be taken into account. They can be databases like GBIF, Vertnet, species links etc. Any other relevant sources of information (data holders, data users, resource persons etc.) will also be considered. This will result in a plan of data mobilization, data publication, and data uses to support decisions. This plan will be consolidated through partnership agreements between parties. During data mobilization phase, taking into account the key questions to be answered, research topics will be identified and attributed to the students of the master program and other data users. Data will then be downloaded from GBIF, Vertenet, species links etc. and data gap analysis will be performed so as to find out the gaps of occurrences to be filled either from complementary field surveys, data holders, and literature reviews etc. Data collected to fill data gaps will be formatted, georeferenced, cleaned up, and published on GBIF site. The evaluation process will be carried out in two phases: i) during the information development phase, under the umbrella of their supervisors and the advisor of the program, students will process data to provide relevant answers to the key questions in order to guide the intended decision making of the partners; ii) in an evaluation phase, the results obtained (answers to the key questions) will be scrutinized with respect to their adequacy to support the intended decisions of end-users and, whenever necessary, data mobilization and data analysis refinements will be reconsidered to provide more relevant answers to the key questions to support decisions.

Les personnes impliquées dans le projet:

Jean Cossi GANGLO
  • Personne De Contact

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 270751ca-48fb-4d9f-96ce-0341f645f861
http://ipt.gbifbenin.org/resource?r=mtn