An integrated dataset of malaria notifications in the Legal Amazon

• Published in: BMC research notes Vol. 13; no. 1; p. 274
• Main Authors: Baroni, Lais, Pedroso, Marcel, Barcellos, Christovam, Salles, Rebecca, Salles, Samella, Paixão, Balthazar, Chrispino, Alvaro, Guedes, Gustavo, Ogasawara, Eduardo
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 03-06-2020; BioMed Central; BMC
• Subjects: Access control; Brazil - epidemiology; Data dictionaries; Data mining; Data Note; Datasets; Datasets as Topic; Diagnosis; Epidemiological Monitoring; Health regions; Health surveillance; Humans; Infections; Infectious diseases; Informatics; Information systems; Knowledge discovery; Legal Amazon; Malaria; Malaria - epidemiology; Medical Records; Methods; Public health; Sentinel surveillance; Statistics; Brazil; Malaria; Legal Amazon; Health regions
• ISSN: 1756-0500; 1756-0500
• DOI: 10.1186/s13104-020-05109-y

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.
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.