Description
Schistosomiasis is a parasitic infection that induces severe complications and remains silent for a long period of time. Schistosoma haematobium Bilharz and Schistosoma mansoni Sambo are the incriminated agents together freshwater gastropod molluscs (Biomphalaria pfeifferi; Bulinus globosus; Bulinus truncatus and Bulinus forskalii) as disease vectors in Benin. In order to map the potential transmission of schistosomiasis by predicting the ecological dimensions and potential distributions in the present and future, occurrence data of schistosomiasis pathogens (Schistosoma haematobium and Schistosoma mansoni) and their respective vectors (Bulinus africanus, Bulinus truncatus, Bulinus globosus and Bulinus forskalii) and Biomphalaria pfeifferi were collected from the literature (articles and statistical reports) and from fieldwork.
Data Records
The data in this sampling event 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 2 records.
1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
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:
TODO E S, AIKPON R Y, KOURA K, GANGLO J C (2021): Occurrences data collection of Schistosoma haematobium (Bilharz, 1852), Schistosoma mansoni (Sambo, 1907) and theirs vectors for spatial distribution and ecological niche modeling.. v1.0. Laboratory of Forest Sciences (University of Abomey-Calavi). Dataset/Samplingevent. http://ipt.gbifbenin.org/resource?r=todo&v=1.0
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Laboratory of Forest Sciences (University of Abomey-Calavi). 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: d34deb78-9f33-461c-a3a9-8aa7f02496e9. Laboratory of Forest Sciences (University of Abomey-Calavi) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Benin.
Keywords
Samplingevent; Benin; hospitals in health zones; community relays; schistosomiasis pathogens; Schistosoma haematobium; Schistosoma mansoni
Contacts
- Metadata Provider ●
- Originator ●
- Point Of Contact
- Originator
- Originator
- Originator
Geographic Coverage
Benin
| Bounding Coordinates | South West [6.275, 0.907], North East [12.291, 3.784] |
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Taxonomic Coverage
Animalia; Platyhelminthes; Trematoda; Diplostomida; Schistosomatidae
| Species | Schistosoma haematobium |
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Animalia; Mollusca; Gastropoda; Hygrophila; Planorbidae
| Species | Biomphalaria pfeifferi |
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Temporal Coverage
| Start Date / End Date | 1955-01-01 / 2020-10-15 |
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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 |
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| 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:
- Point Of Contact
Sampling Methods
Schistosomiasis is a parasitic infection that induces severe complications and remains silent for a long period of time. Schistosoma haematobium Bilharz and Schistosoma mansoni Sambo are the incriminated agents together freshwater gastropod molluscs (Biomphalaria pfeifferi; Bulinus globosus; Bulinus truncatus and Bulinus forskalii) as disease vectors in Benin. In order to map the potential transmission of schistosomiasis by predicting the ecological dimensions and potential distributions in the present and future, occurrence data of schistosomiasis pathogens (Schistosoma haematobium and Schistosoma mansoni) and their respective vectors (Bulinus africanus, Bulinus truncatus, Bulinus globosus and Bulinus forskalii) and Biomphalaria pfeifferi were collected from the literature (articles and statistical reports) and from fieldwork.
| Study Extent | Benin |
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Method step description:
- Schistosoma mansoni Sambo are the incriminated agents together freshwater gastropod molluscs (Biomphalaria pfeifferi; Bulinus globosus; Bulinus truncatus and Bulinus forskalii) as disease vectors in Benin. Occurrence data of schistosomiasis pathogens (Schistosoma haematobium and Schistosoma mansoni) and their respective vectors (Bulinus africanus, Bulinus truncatus, Bulinus globosus and Bulinus forskalii) and Biomphalaria pfeifferi were collected from literature through articles and statistical reports.
- In the field, occurrence data of schistosomiasis pathogens available in curative care registers, epidemiological surveillance databases, and the DHIS2 (District Health Information System 2) database of statistical
Additional Metadata
| Alternative Identifiers | http://ipt.gbifbenin.org/resource?r=todo |
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