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>

开放登革热（OpenDengue）项目旨在构建并维护1990年及更早以来全球所有登革热流行国家的登革热病例数数据库。本项目从多种公开来源整合数据，包括各国卫生部官方网站、同行评议学术文献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结果均可在我们的研究论文中查阅（https://doi.org/10.1038/s41597-024-03120-7）。最新版数据库可通过开放登革热官网（https://opendengue.org/data.html）获取，历史版本与当前版本也可在OpenDengue的GitHub仓库（https://github.com/OpenDengue/master-repo）中获取。

**文件说明**
**全球数据汇总**：我们在OpenDengue中提供三类全球数据汇总文件，分别为最优国家层级估算数据集（**National_extract.csv**）、最优时间分辨率数据集（**Temporal_extract.csv**）与最优空间分辨率数据集（**Spatial_extract.csv**），以便用户根据自身研究需求自定义数据提取方案。数据表格中的每一行均对应唯一且无重叠的地域与时间段，并附带相关登革热病例数据。下文的变量代码本将对各变量进行详细说明：
adm_0_name：行政层级0（国家）名称
adm_1_name：行政层级1名称
adm_2_name：行政层级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位图层（Food and Agricultural Organization Global Administrative Unit Layer, GAUL）代码
RNE_iso_code：自然地球（NaturalEarth）ISO代码
IBGE_code：巴西地理与统计研究所（Instituto Brasileiro de Geografia e Estatística, IBGE）代码
calendar_start_date：日历时间格式的起始日期，格式为YYYY-mm-dd
calendar_end_date：日历时间格式的终止日期，格式为YYYY-mm-dd
Year：年份
dengue_total：对应地域与时间段的登革热总病例数（详见登革热分类规程与登革热重复计数规程）
case_definition_standardised：标准化后的病例判定标准
S_res：空间分辨率
T_res：时间分辨率
UUID：通用唯一识别码（Universal Unique Identifier），用于标识数据来源文件