Test publication of MAP historical data

Occurrence
Versão mais recente published by Training Organization on fev 3, 2025 Training Organization
Início:
https://malariaatlas.org/
Publication date:
3 de fevereiro de 2025
Published by:
Training Organization
Licença:
CC-BY-NC 4.0

Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

Dados como um arquivo DwC-A download 104 registros em English (16 KB) - Frequência de atualização: desconhecido
Metadados como um arquivo EML download em English (17 KB)
Metadados como um arquivo RTF download em English (12 KB)

Descrição

The primary goal of the recently launched Malaria Atlas Project (MAP) is to develop the science of malaria cartography. Once we have created these global endemicity maps, these will then provide a baseline to facilitate estimation of populations at risk of malaria and more-credible predictions of disease burden. These maps will also provide a platform to help target intervention needs, and may provide a means to measure progress toward national and international malaria public health goals at a global scale. 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.

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 104 registros.

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.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

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

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Training Organization. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: fc441c8a-b612-4f10-9ce2-cd076f280e0b.  Training Organization publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Secretariat.

Palavras-chave

Occurrence; vector; disease; malaria; Plasmodium; spatial modelling; vector control

Contatos

Marianne Sinka
  • Provedor Dos Metadados ●
  • Originador ●
  • Ponto De Contato
  • PI
University of Oxford
GB
Antoinette Wiebe
  • Provedor Dos Metadados ●
  • Originador ●
  • Ponto De Contato
  • Data manager
icipe
KE

Cobertura Geográfica

Africa.

Coordenadas delimitadoras Sul Oeste [-37,16, -16,172], Norte Leste [38,273, 55,547]

Cobertura Taxonômica

Diptera, Culicidae

Gênero Anopheles (Mosquito)

Cobertura Temporal

Data Inicial 1998-01-01

Dados Sobre o Projeto

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
Descrição da Área de Estudo Initial information searches of MAP on the retrieval and archive of PR (parasitic rate) surveys undertaken across MECs (malaria endemic countries).
Descrição do Design 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.

O pessoal envolvido no projeto:

Marianne Sinka
  • Pesquisador Principal

Métodos de Amostragem

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 Estudo 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.
Controle de Qualidade 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.

Descrição dos passos do método:

  1. ● 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.

Citações bibliográficas

  1. Hay SI, Snow RW. The malaria Atlas Project: developing global maps of malaria risk. PLoS Med. 2006 Dec;3(12):e473.

Metadados Adicionais

Identificadores alternativos fc441c8a-b612-4f10-9ce2-cd076f280e0b
https://ipt.gbif.org/resource?r=map_historic_data