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

Occurrence
Version 1.0 published by HOPITAL MENONTIN on Nov 11, 2021 HOPITAL MENONTIN
Publication date:
11 November 2021
Published by:
HOPITAL MENONTIN
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 4,258 records in English (77 KB)  - Update frequency: unknown
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Metadata as an RTF file download in English (13 KB)

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

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 4,258 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Please be aware, this is an old version of the dataset.  Researchers should cite this work as follows:

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

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is HOPITAL MENONTIN. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 270751ca-48fb-4d9f-96ce-0341f645f861.  HOPITAL MENONTIN publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Benin.

Keywords

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

Contacts

Ignace TCHANOU
  • Metadata Provider
  • Originator
  • Point Of Contact
Data Manager
Hopital de zone de Menontin
Abomey-Calavi
Atlantic
(+229) 98684027

Geographic Coverage

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

Bounding Coordinates South West [6.357, 0.915], North East [11.979, 3.694]

Taxonomic Coverage

Animalia; Nematoda; Secernentea; Strongylida; Ancylostomidae

Species Ancylostoma duodenale

Animalia; Nematoda; Secernentea; Spirurida; Onchocercidae

Species Brugia timori

Protozoa; Amoebozoa; Lobosa; Amoebida

Species Entamoeba histolytica

Temporal Coverage

Start Date / End Date 2017-10-01 / 2020-09-09

Project Data

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

Title Regional graduate course for capacity development in biodiversity informatics in Africa
Identifier http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/; http://jrsbiodiversity.org/grants/uac-2018/
Funding The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Study Area Description 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 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)

The personnel involved in the project:

Jean Cossi GANGLO
  • Point Of Contact

Sampling Methods

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

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

Method step description:

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

Additional Metadata

Alternative Identifiers http://ipt.gbifbenin.org/resource?r=mtn