Test publication of Malaria Atlas Project historical data

Occurrence Observation
Versão mais recente published by Test Organization #1 on fev 3, 2025 Test Organization #1
Publication date:
3 de fevereiro de 2025
Published by:
Test Organization #1
Licença:
CC-BY 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 (15 KB)
Metadados como um arquivo RTF download em English (14 KB)

Descrição

The primary goal of the Malaria Atlas Project (MAP) is to develop the science of malaria cartography. Our approach will be fi rst to defi ne the global limits of contemporary malaria transmission; we have initiated this process [1, 2], but will substantially refi ne these layers with additional medical intelligence in future years. Within these limits, we plan to then model endemicity using a global evidence base of malaria parasite prevalence. This Health in Action concentrates mostly on how we intend to achieve this important goal. 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.

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 Malaria Atlas Project historical data. Version 1.3. Test Organization #1. Occurrence dataset. https://ipt.gbif.org/resource?r=map_historical_data_ii&v=1.3

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Test Organization #1. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: c5a227d7-2259-44ea-88aa-b6e5252cbc35.  Test Organization #1 publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Secretariat.

Palavras-chave

Occurrence; Anopheles; malaria; modelling; map; distribution; ecology; insecticide resistance; bionomics; vector; infectious disease.; Observation

Contatos

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

Cobertura Geográfica

Anopheles from Africa.

Coordenadas delimitadoras Sul Oeste [-90, -180], Norte Leste [90, 180]

Cobertura Taxonômica

Anopheles mosquitoes from Africa.

Gênero Anopheles (Mosquito)

Dados Sobre o Projeto

Nenhuma descrição disponível

Título The Malaria Atlas Project: Developing Global Maps of Malaria Risk

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). Records of sibling species occurrence, where species were identified using molecular methods, were retrieved from the published literature (from both resistance and behavioural studies) and from unpublished sources to compile a set of presence records for each species. A larger dataset, including all Anopheles surveys in the region, was used as a background dataset that captured sampling bias. From Wiebe A, Longbottom J, Gleave K, Shearer FM, Sinka ME, Massey NC, Cameron E, Bhatt S, Gething PW, Hemingway J, Smith DL, Coleman M, Moyes CL. Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance. Malar J. 2017 Feb 20;16(1):85. doi: 10.1186/s12936-017-1734-y. PMID: 28219387; PMCID: PMC5319841.

Área de Estudo Current dataset for Africa includes 38,351 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 [39], so that any uncertainty associated with the positioning could be estimated [46–49]. From Hay SI, Sinka ME, Okara RM, Kabaria CW, Mbithi PM, Tago CC, Benz D, Gething PW, Howes RE, Patil AP, Temperley WH, Bangs MJ, Chareonviriyaphap T, Elyazar IR, Harbach RE, Hemingway J, Manguin S, Mbogo CM, Rubio-Palis Y, Godfray HC. Developing global maps of the dominant anopheles vectors of human malaria. PLoS Med. 2010 Feb 9;7(2):e1000209. doi: 10.1371/journal.pmed.1000209. References 39 Guerra CA, Hay SI, Lucioparedes LS, Gikandi PW, Tatem AJ, Noor AM, Snow RW. Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project. Malar J. 2007 Feb 16;6:17. doi: 10.1186/1475-2875-6-17. 46. Chapman AD, Wieczorek J (2006) Guide to best practices for georeferencing. Copenhagen: Global Biodiversity Information Facility. 47. Wieczorek J, Guo Q, Hijmans RJ (2004) The point-radius method for georeferencing locality descriptions and calculating associated uncertainty. Int J Geogr Inf Sci 18: 745–767. 48. Guralnick RP, Wieczorek J, Beaman R, Hijmans RJ (2006) BioGeomancer: automated georeferencing to map the world’s biodiversity data. PLoS Biol 4: e381. doi:10.1371/journal.pbio.0040381. 49. Guo Q, Liu Y, Wieczorek J (2008) Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach. Int J Geogr Inf Sci 22: 1067–1090.

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. 1. Guerra CA, Hay SI, Lucioparedes LS, Gikandi PW, Tatem AJ, Noor AM, et al. Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project. Malar J. 2007;6:17. 2. Hay SI, Snow RW. The malaria Atlas Project: developing global maps of malaria risk. PLoS Med. 2006;(12):e473. 3. Hay SI, Sinka ME, Okara RM, Kabaria CW, Mbithi PM, Tago CC, et al. Developing Global Maps of the Dominant Anopheles Vectors of Human Malaria. PLoS Med [Internet]. 2010;7(2):e1000209. Available from: https://dx.plos.org/10.1371/journal.pmed.1000209 4. Sinka ME, Bangs MJ, Manguin S, Coetzee M, Mbogo CM, Hemingway J, et al. The dominant Anopheles vectors of human malaria in Africa, Europe and the Middle East: occurrence data, distribution maps and bionomic précis. Parasites & Vectors. 2010;3(1):117. Available from: https://doi.org/10.1186/1756-3305-3-117 5. Sinka ME, Bangs MJ, Manguin S, Rubio-Palis Y, Chareonviriyaphap T, Coetzee M, et al. A global map of dominant malaria vectors. Parasites Vectors. 2012;5(1):69. Available from: https://parasitesandvectors.biomedcentral.com/articles/10.1186/1756-3305-5-69 6. Wiebe A, Longbottom J, Gleave K, Shearer FM, Sinka ME, Massey NC, et al. Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance. Malar J. 2017;16(1):85.

Metadados Adicionais

Identificadores alternativos c5a227d7-2259-44ea-88aa-b6e5252cbc35
https://ipt.gbif.org/resource?r=map_historical_data_ii