OpenDengue: data from the OpenDengue database

The OpenDengue project aims to build and maintain a database of dengue case counts for every dengue-affected country worldwide since 1990 or earlier. We collate data from a range of publicly available sources including ministry of health websites, peer-reviewed publications and other disease databases.The complete details, methodologies, and findings associated with this dataset are available in our research paper (https://doi.org/10.1038/s41597-024-03120-7).The latest database is available on our OpenDengue website (https://opendengue.org/data.html). Past and current versions are also available in the Opendengue Github repository (https://github.com/OpenDengue/master-repo).<b>File descriptor</b><b>Global summaries of data</b>: We provide three global summaries of the data in OpenDengue. We provide the best national estimate (<b>National_extract.csv</b>), the best temporal resolution (<b>Temporal_extract.csv</b>) and the best spatial resolution (<b>Spatial_extract.csv</b>). This allows users to customise their data extraction based on their research question. Each row in the data table contains a unique, non-overlapping location and time period with the associated dengue case data. The below codebook describes each variable.adm_0_name : administrative level 0/country nameadm_1_name : administrative level 1 nameadm_2_name : administrative level 2 namefull_name : full place nameISO_A0 : ISO country codeFAO_GAUL_code : Food and Agricultural Organization Global Administrative Unit Layer CodeRNE_iso_code : RNaturalEarth ISO codeIBGE_code : Brazilian Instituto Brasileiro de Geografia e Estatística (IBGE) codecalendar_start_date : the start date in calendar time with the format YYYY-mm-ddcalendar_end_date : the end date in calendar time with the format YYYY-mm-ddYear : yeardengue_total : the total dengue case count relating to the period and place (see dengue classification protocol and dengue double count protocol)case_definition_standardised : case definition after standardisationS_res : spatial resolutionT_res : temporal resolutionUUID : Universal Unique Identifier relating to the source file from which the data originates<br>

Open登革热（OpenDengue）项目旨在构建并维护一套覆盖全球所有登革热流行国家、起始时间可追溯至1990年及更早的登革热病例数数据库。本项目从多类公开可获取的数据源整合数据，包括各国卫生部官方网站、同行评议学术出版物及其他疾病相关数据库。本数据集的完整细节、研究方法与相关研究成果已发表于我们的学术论文（https://doi.org/10.1038/s41597-024-03120-7）。最新版数据库可通过OpenDengue官方网站（https://opendengue.org/data.html）获取，过往及当前版本亦可在OpenDengue的GitHub仓库（https://github.com/OpenDengue/master-repo）中获取。
<b>文件说明</b>
<b>数据全局汇总文件</b>：我们在OpenDengue数据库中提供三类全局数据汇总文件，分别为最优国家级别估算文件（<b>National_extract.csv</b>）、最优时间分辨率文件（<b>Temporal_extract.csv</b>）以及最优空间分辨率文件（<b>Spatial_extract.csv</b>），以支持用户根据自身研究需求自定义数据提取流程。数据表中的每一行均对应唯一且无重叠的地理位置与时间区间，并附带关联的登革热病例数据。以下代码手册对各变量进行详细说明：
adm_0_name：行政级别0（国家）名称
adm_1_name：行政级别1名称
adm_2_name：行政级别2名称
full_name：地点完整名称
ISO_A0：ISO国家代码
FAO_GAUL_code：联合国粮食及农业组织全球行政单元图层（Food and Agricultural Organization Global Administrative Unit Layer, FAO GAUL）代码
RNE_iso_code：自然地球（NaturalEarth）ISO代码
IBGE_code：巴西巴西地理与统计研究所（Instituto Brasileiro de Geografia e Estatística, IBGE）代码
calendar_start_date：采用YYYY-mm-dd格式的日历起始日期
calendar_end_date：采用YYYY-mm-dd格式的日历结束日期
Year：年份
dengue_total：对应该地理位置与时间区间的登革热病例总数（详见登革热分类规程与登革热重复计数规程）
case_definition_standardised：标准化后的病例定义标准
S_res：空间分辨率
T_res：时间分辨率
UUID：关联数据源文件的通用唯一识别码（Universal Unique Identifier, UUID）