Occurrences data collection of Schistosoma haematobium (Bilharz, 1852), Schistosoma mansoni (Sambo, 1907) and theirs vectors for spatial distribution and ecological niche modeling.

Sampling event
最新版本 published by Laboratory of Forest Sciences (University of Abomey-Calavi) on 5月 22, 2023 Laboratory of Forest Sciences (University of Abomey-Calavi)

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說明

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.

資料紀錄

此資源sampling event的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 2 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Event (核心)
2
Occurrence 
1692

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Laboratory of Forest Sciences (University of Abomey-Calavi)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: d34deb78-9f33-461c-a3a9-8aa7f02496e9。  Laboratory of Forest Sciences (University of Abomey-Calavi) 發佈此資源,並經由GBIF Benin同意向GBIF註冊成為資料發佈者。

關鍵字

Samplingevent; Benin; hospitals in health zones; community relays; schistosomiasis pathogens; Schistosoma haematobium; Schistosoma mansoni

外部資料

此資源尚有其他格式可用

聯絡資訊

Emmanuel Schadrac TODO
  • 元數據提供者
  • 出處
  • 連絡人
Student
Laboratory of forest sciences
Abomey-Calavi
Atlantic
BJ
(+229) 67707330
Rock Yves AIKPON
  • 出處
Chef Service Cellule Lutte anti-vectorielle du Ministère de la Santé
Ministère de la Santé, Bénin
Cotonou
Litoral
BJ
(+229) 97 43 41 83
Kourouma KOURA
  • 出處
Laboratory of Forest Sciences
Abomey-Calavi
Atlantic
BJ
(+229) 96716130
Jean Cossi GANGLO
  • 出處
Head
Laboratory of Forest Sciences (LSF/FSA/UAC)
BP 1493
229 Abomey-Calavi
Littoral
BJ
+22996716130

地理涵蓋範圍

Benin

界定座標範圍 緯度南界 經度西界 [6.275, 0.907], 緯度北界 經度東界 [12.291, 3.784]

分類群涵蓋範圍

Animalia; Platyhelminthes; Trematoda; Diplostomida; Schistosomatidae

Species Schistosoma haematobium

Animalia; Mollusca; Gastropoda; Hygrophila; Planorbidae

Species Biomphalaria pfeifferi

時間涵蓋範圍

起始日期 / 結束日期 1955-01-01 / 2020-10-15

計畫資料

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.

計畫名稱 Data use to inform decisions on biodiversity conservation and public health in Benin
辨識碼 BID-AF2020-083-USE
經費來源 The funding of this project is generously provided by European Union in the framework of Biodiversity Information for Development program managed by GBIF Secretariat
研究區域描述 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
研究設計描述 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.

參與計畫的人員:

Jean Cossi GANGLO
  • 連絡人

取樣方法

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.

研究範圍 Benin

方法步驟描述:

  1. 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.
  2. 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

額外的詮釋資料

替代的識別碼 d34deb78-9f33-461c-a3a9-8aa7f02496e9
https://ipt.gbifbenin.org/resource?r=todo