Occurrences data collection of Onchocerca volvulus for spatial distribution and ecological niche modeling.

Evento de muestreo
Última versión publicado por Laboratory of Forest Sciences (University of Abomey-Calavi) el may 23, 2023 Laboratory of Forest Sciences (University of Abomey-Calavi)

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

Datos como un archivo DwC-A descargar 3 registros en Inglés (15 KB) - Frecuencia de actualización: desconocido
Metadatos como un archivo EML descargar en Inglés (12 KB)
Metadatos como un archivo RTF descargar en Inglés (11 KB)

Descripción

Onchocerciasis is one of the most endemic and disabling. Occurrences of Onchocerca volvulus were collected in the field (Municipalities of Dassa, Glazoué Ouinhi, Zagnanado, Zakpota et Zogbodomey) and in the literature (scientific articles, reports of WHO). Coordinates of the sick (or who had been cured of the disease) respondents (households) were taken using a GPS in the field. Moreover, historical disease data on mass treatment with ivermectin in endemic areas was collected from PNLMT database.

Registros

Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 3 registros.

también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

Event (core)
3
Occurrence 
894

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

SEHOUETO K P C, AIKPON R Y, GANGLO J C (2023): Occurrences data collection of Onchocerca volvulus for spatial distribution and ecological niche modeling.. v1.4. Laboratory of Forest Sciences (University of Abomey-Calavi). Dataset/Samplingevent. https://ipt.gbifbenin.org/resource?r=caroline1&v=1.4

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Laboratory of Forest Sciences (University of Abomey-Calavi). Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 53eeb70a-b67f-4c06-889f-18cafd295d5d.  Laboratory of Forest Sciences (University of Abomey-Calavi) publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Benin.

Palabras clave

Samplingevent; Onchocerca volvulus

Contactos

K. P. Caroline SEHOUETO
  • Proveedor De Los Metadatos
  • Originador
  • Punto De Contacto
Student
Laboratory of Forest Sciences (University of Abomey-Calavi)
00229 Abomey-Calavi
ATLANTIC
BJ
95309768
Rock Yves AIKPON
  • Originador
Searcher
Centre de Recherche Entomologique de Cotonou (CREC)
00229 Adjagbo
Atlantic
BJ
97434183
Jean Cossi GANGLO
  • Originador
Director
Laboratory of Forest Sciences (University of Abomey-Calavi)
00229 Abomey-Calavi
Atlantic
BJ
66363770

Cobertura geográfica

Data collected in Benin (West Africa)

Coordenadas límite Latitud Mínima Longitud Mínima [9,985, 1], Latitud Máxima Longitud Máxima [10,06, 3,695]

Cobertura taxonómica

Onchocerca volvulus

Reino Animalia

Cobertura temporal

Fecha Inicial / Fecha Final 1992-01-01 / 2020-01-01

Datos del proyecto

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.

Título Data use to inform decisions on biodiversity conservation and public health in Benin
Identificador BID-AF2020-083-USE
Fuentes de Financiación The funding of this project is generously provided by European Union in the framework of Biodiversity Information for Development program managed by GBIF Secretariat
Descripción del área de estudio 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
Descripción del diseño 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.

Personas asociadas al proyecto:

Jean Cossi GANGLO
  • Punto De Contacto

Métodos de muestreo

Patient diagnostic

Área de Estudio Data have been collected in Benin
Control de Calidad Species have been identified by specialist in the field

Descripción de la metodología paso a paso:

  1. 1- Patient diagnostic 2- Identification of the vectors by specialist

Metadatos adicionales

Identificadores alternativos 53eeb70a-b67f-4c06-889f-18cafd295d5d
https://ipt.gbifbenin.org/resource?r=caroline1