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                <identifier>oai:data.mendeley.com/9n6b97fsbd.2</identifier>
                <datestamp>2023-07-10T20:39:14Z</datestamp>
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    <dc:creator>Monteiro, Kayo</dc:creator>
    <dc:title>Legal Amazon malaria notification records, Brazil, 2003–2022.</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset provides information on notifications of confirmed cases of Malaria. The data used in this study is derived from compulsory notifications stored in the Malaria Epidemiological Surveillance Information System (SIVEP-Malaria), covering the period from 2003 to 2022. By making this dataset available, it is expected that researchers will be better equipped to develop effective strategies to mitigate and eradicate malaria in the region. Specifically, the dataset has been constructed for use in time series modeling and training/testing of machine learning and deep learning models. This dataset consists of two CSV files: the &quot;data set.csv&quot; file contains the pre-processed dataset itself, while the &quot;attributes.csv&quot; file contains information about each attribute present in the dataset.</dc:description>
    <dc:subject>Epidemiology</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Malaria</dc:subject>
    <dc:subject>Time Series</dc:subject>
    <dc:subject>Brazil</dc:subject>
    <dc:subject>Database</dc:subject>
    <dc:contributor>Silva Rocha, Élisson da</dc:contributor>
    <dc:contributor>Rogério, Sebastião</dc:contributor>
    <dc:contributor>Carvalho Maia, Leornado de </dc:contributor>
    <dc:contributor>Peterka, Cássio</dc:contributor>
    <dc:contributor>Sampaio, Vanderson</dc:contributor>
    <dc:contributor>Dourado, Raphael</dc:contributor>
    <dc:contributor>Lynn, Theodore</dc:contributor>
    <dc:contributor>Endo, Patricia Takako</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/9n6b97fsbd.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/9n6b97fsbd.2</dc:identifier>
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    <dc:date>2023-07-10T20:39:14Z</dc:date>
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