Test publication of MAP historical data

データ レコード

この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、104 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

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

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Training Organization。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: fc441c8a-b612-4f10-9ce2-cd076f280e0bが割り当てられています。   GBIF Secretariat によって承認されたデータ パブリッシャーとして GBIF に登録されているTraining Organization が、このリソースをパブリッシュしました。

キーワード

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

連絡先

地理的範囲

Africa.

生物分類学的範囲

Diptera, Culicidae

時間的範囲

プロジェクトデータ

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.

プロジェクトに携わる要員:

収集方法

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).

Method step description:

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.

書誌情報の引用

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

追加のメタデータ