An integrated dataset of malaria notifications in the Legal Amazon
Abstract Objectives Malaria is an infectious disease that annually presents around 200,000 cases in Brazil. The availability of data on malaria is crucial for enabling and supporting studies that can promote actions to prevent it. Therefore, the goal of this paper is to contribute to such studies by...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-06-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13104-020-05109-y |
| _version_ | 1818232347098611712 |
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| author | Lais Baroni Marcel Pedroso Christovam Barcellos Rebecca Salles Samella Salles Balthazar Paixão Alvaro Chrispino Gustavo Guedes Eduardo Ogasawara |
| author_facet | Lais Baroni Marcel Pedroso Christovam Barcellos Rebecca Salles Samella Salles Balthazar Paixão Alvaro Chrispino Gustavo Guedes Eduardo Ogasawara |
| author_sort | Lais Baroni |
| collection | DOAJ |
| description | Abstract Objectives Malaria is an infectious disease that annually presents around 200,000 cases in Brazil. The availability of data on malaria is crucial for enabling and supporting studies that can promote actions to prevent it. Therefore, the goal of this paper is to contribute to such studies by offering an integrated dataset containing data on reported and suspected cases of malaria in the Brazilian Legal Amazon comprising the period from the years 2009 to 2019. Data description This paper presents a dataset with all medical records of patients who were tested for malaria in the Brazilian Legal Amazon from 2009 to 2019. The dataset has 40 attributes and 22,923,977 records of suspected cases of malaria. Around 12% of the data correspond to confirmed cases of malaria. The attributes include data regarding the notifications, examinations, as well as personal patient information, which are organized into health regions. |
| first_indexed | 2024-12-12T11:04:50Z |
| format | Article |
| id | doaj.art-bcee87e357cd4f52bb8129fccaaa55ff |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-12T11:04:50Z |
| publishDate | 2020-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-bcee87e357cd4f52bb8129fccaaa55ff2022-12-22T00:26:27ZengBMCBMC Research Notes1756-05002020-06-011311310.1186/s13104-020-05109-yAn integrated dataset of malaria notifications in the Legal AmazonLais Baroni0Marcel Pedroso1Christovam Barcellos2Rebecca Salles3Samella Salles4Balthazar Paixão5Alvaro Chrispino6Gustavo Guedes7Eduardo Ogasawara8Federal Center for Technological Education of Rio de Janeiro, CEFET/RJOswaldo Cruz Foundation, FiocruzOswaldo Cruz Foundation, FiocruzFederal Center for Technological Education of Rio de Janeiro, CEFET/RJFederal Institute of Rio de Janeiro, IFRJFederal Center for Technological Education of Rio de Janeiro, CEFET/RJFederal Center for Technological Education of Rio de Janeiro, CEFET/RJFederal Center for Technological Education of Rio de Janeiro, CEFET/RJFederal Center for Technological Education of Rio de Janeiro, CEFET/RJAbstract Objectives Malaria is an infectious disease that annually presents around 200,000 cases in Brazil. The availability of data on malaria is crucial for enabling and supporting studies that can promote actions to prevent it. Therefore, the goal of this paper is to contribute to such studies by offering an integrated dataset containing data on reported and suspected cases of malaria in the Brazilian Legal Amazon comprising the period from the years 2009 to 2019. Data description This paper presents a dataset with all medical records of patients who were tested for malaria in the Brazilian Legal Amazon from 2009 to 2019. The dataset has 40 attributes and 22,923,977 records of suspected cases of malaria. Around 12% of the data correspond to confirmed cases of malaria. The attributes include data regarding the notifications, examinations, as well as personal patient information, which are organized into health regions.http://link.springer.com/article/10.1186/s13104-020-05109-yMalariaHealth regionsLegal Amazon |
| spellingShingle | Lais Baroni Marcel Pedroso Christovam Barcellos Rebecca Salles Samella Salles Balthazar Paixão Alvaro Chrispino Gustavo Guedes Eduardo Ogasawara An integrated dataset of malaria notifications in the Legal Amazon BMC Research Notes Malaria Health regions Legal Amazon |
| title | An integrated dataset of malaria notifications in the Legal Amazon |
| title_full | An integrated dataset of malaria notifications in the Legal Amazon |
| title_fullStr | An integrated dataset of malaria notifications in the Legal Amazon |
| title_full_unstemmed | An integrated dataset of malaria notifications in the Legal Amazon |
| title_short | An integrated dataset of malaria notifications in the Legal Amazon |
| title_sort | integrated dataset of malaria notifications in the legal amazon |
| topic | Malaria Health regions Legal Amazon |
| url | http://link.springer.com/article/10.1186/s13104-020-05109-y |
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