Descripción
Registros
Los datos en este recurso de registros biológicos 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 104 registros.
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:
Sinka M, Wiebe A (2025). Test publication of MAP historical data. Version 1.516. Training Organization. Occurrence dataset. https://ipt.gbif.org/resource?r=map_historic_data&v=1.516
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es Training Organization. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: fc441c8a-b612-4f10-9ce2-cd076f280e0b. Training Organization publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Secretariat.
Palabras clave
Occurrence; vector; disease; malaria; Plasmodium; spatial modelling; vector control
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Punto De Contacto
- PI
https://orcid.org/0000-0001-7145-3179
Cobertura geográfica
Africa.
| Coordenadas límite | Latitud Mínima Longitud Mínima [-37,16, -16,172], Latitud Máxima Longitud Máxima [38,273, 55,547] |
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Cobertura taxonómica
Diptera, Culicidae
| Género | Anopheles (Mosquito) |
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Cobertura temporal
| Fecha Inicial | 1998-01-01 |
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Datos del proyecto
The MAP Web site (https://malariaatlas.org/) was launched on May 1, 2006, to further the aims and ambitions of MAP. The Web site allows users to visualize the current distribution of the assembled PR data through static maps in Web browsers, or more interactively through “.kmz” fi les that enable the data to be displayed in Google Earth (http://earth.google.com). We are currently interested in gathering additional PR data from the public health community, and to facilitate communication we have translated the entire Web site into Spanish and French. MAP is different than previous attempts at mapping malaria, primarily because it is a global initiative, but also because it aims to share data from the outset. Those supplying useful PR data will be provided with the full database for their country of interest, provided full permission is granted from the data owners for distribution. In addition, the entire database will be released in the public domain after component outputs have been peer reviewed. We have set a June 1, 2009, deadline for this release. A second unique feature of MAP is that it operates with strict inclusion criteria for PR data: only random or complete community-sample surveys conducted post-1985, where parasite species and age groups are defi ned and the survey involves more than 50 persons to minimize sampling error [1]. Extensive details of these and additional inclusion rules are provided online in English, Spanish, French, Chinese, and Swahili. Thirdly, the MAP project will collect data on P. falciparum malaria, as well as the often neglected P. vivax parasite. The Web site also allows formal acknowledgment of those interested individuals and institutions who contribute data. We encourage you to have a look and send us feedback at map@zoo.ox.ac.uk. PR = parasite rate. From Hay & Snow. The malaria Atlas Project: developing global maps of malaria risk. PLoS Med. 2006 Dec;3(12):e473. doi: 10.1371/journal.pmed.0030473. Reference [1] Jovani & Tella (2006) Parasite prevalence and sample size: Misconceptions and solutions. Trends Parasitol 22: 214–218.
| Título | Vector Atlas |
|---|---|
| Descripción del área de estudio | Initial information searches of MAP on the retrieval and archive of PR (parasitic rate) surveys undertaken across MECs (malaria endemic countries). |
| Descripción del diseño | The MAP collaboration has adopted three linked approaches to identifying empirical PR survey data: a) a traditional electronic search using PubMed [38] with 'malaria' and MEC name as free text rather than Medical Subject Headings terms that tend to be less inclusive; b) direct contact with malaria field scientists, research institutions and control agencies in MECs identified through the PubMed search; and c) an e-mail circular, linked to the launch of the MAP website, to locate sources of information not readily accessible from the first two search strategies. Authors of peer-reviewed sources of PR survey data were contacted if: a) additional information was required on the age-ranges; b) multiple community data needed to be disaggregated; or c) specific details on the coordinates or location of the survey data were needed. Additionally, authors were asked if they knew of other unpublished information on parasite surveys undertaken in their country of research. This request was extended to over 100 institutions involved in malaria research and control identified as potentially useful sources of information during the formal literature search. These included, amongst others, the Environmental Health Project (EHP) of USAID, Médecins Sans Frontières (MSF), Merlin, UNICEF, WHO regional offices, as well as, national institutes of research in China, India, Kenya, Tanzania, Thailand, and other countries. This second-line search strategy aimed at identifying 'grey' literature sources (publications issued by government, academia, business and industry not controlled by commercial publishing interests) and primary, unpublished PR survey data. Each source of information was reviewed by one of the authors of this paper and the data extracted into a customized Microsoft Access (Microsoft, 2003) database. |
Personas asociadas al proyecto:
- Investigador Principal
Métodos de muestreo
The MAP collaboration has adopted three linked approaches to identifying empirical PR survey data: a) a traditional electronic search using PubMed [38] with 'malaria' and MEC name as free text rather than Medical Subject Headings terms that tend to be less inclusive; b) direct contact with malaria field scientists, research institutions and control agencies in MECs identified through the PubMed search; and c) an e-mail circular, linked to the launch of the MAP website, to locate sources of information not readily accessible from the first two search strategies. Assembling a digital data archive Each source of information was reviewed by one of the authors of this paper and the data extracted into a customized Microsoft Access (Microsoft, 2003) database. A unique, auto-generated identifier links the record to a reference manager platform and to an electronic copy of the source when this could be obtained. The entry form includes all fields related directly to malaria prevalence, including some geographic descriptions (geographic extent of the study area, as well as the land cover type as reported by the author(s) as either urban or rural, and forest and/or rice cultivation), and a full description of the cross-sectional study and its results (number of surveys, parasite detection method, dates, age, range sampled, number of slides examined and numbers of positive individuals).
| Área de Estudio | Current dataset for Africa includes 104 records and runs from 1970 to 2015. It currently does not include all sibling species nor any data for the PSV. |
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| Control de Calidad | Once a relevant literature source was identified, information was extracted using a list of data fields specified by a detailed pro forma. Precise geo-positioning was conducted using established methods, so that any uncertainty associated with the positioning could be estimated. |
Descripción de la metodología paso a paso:
- ● First round data abstraction from the collated literature; data to be entered into a pre evaluated template that allows occurrence, bionomic and IR data to be reconciled. ● Data georeferenced and checked against peripheral information given in the source ● Second round data checks repeat the data abstraction process by a second independent research assistant. ● Third round data checks by a third independent research assistant, focus on numerical abstracted data and georeferenced coordinates ● Automated data checks - all data mapped and confirmed to lie in the correctly stated country, admin area etc.
Referencias bibliográficas
- Hay SI, Snow RW. The malaria Atlas Project: developing global maps of malaria risk. PLoS Med. 2006 Dec;3(12):e473.
Metadatos adicionales
| Identificadores alternativos | fc441c8a-b612-4f10-9ce2-cd076f280e0b |
|---|---|
| https://ipt.gbif.org/resource?r=map_historic_data |