OpenDengue V1.2

The OpenDengue project aims to build and maintain a database of dengue case counts for every dengue-affected country worldwide since 1990. 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 [URL to be confirmed].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_v1_2.csv</b>), the best temporal resolution (<b>Temporal_extract_v1_2.csv</b>) and the best spatial resolution (<b>Spatial_extract_v1_2.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<b>2.</b><b> </b><b>Source files (source_files_V1.2.zip)</b>: These source files contain the raw data used in the creation of the OpenDengue database and can be accessed by their UUIDs.<b>3. Metadata (metadata_V1.2.xlsx)</b>: Metadata relevant to the original data source category that was searched, located, and extracted is included

登革热开放项目（OpenDengue）旨在构建并维护自1990年以来全球所有登革热流行国家的登革热病例数数据库。本项目整合了来自多类公开可获取数据源的信息，涵盖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详见标注[待确认URL]的研究论文。最新版数据库可通过登革热开放项目官网（https://opendengue.org/data.html）获取，历史版本与当前版本亦可在其GitHub仓库（https://github.com/OpenDengue/master-repo）中获取。
<b>文件说明</b>
<b>全局数据汇总</b>：我们在登革热开放项目中提供三类全局数据汇总文件，分别为最优国家级估计数据集（<b>National_extract_v1_2.csv</b>）、最优时间分辨率数据集（<b>Temporal_extract_v1_2.csv</b>）与最优空间分辨率数据集（<b>Spatial_extract_v1_2.csv</b>），可支持用户根据自身研究需求自定义数据提取方式。数据表格中每一行对应唯一且无重叠的地域与时间区间，并附带对应登革热病例数据。下述变量说明表对各字段进行详细解释：
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代码（Food and Agricultural Organization Global Administrative Unit Layer Code）
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：公历起始日期，格式为YYYY-mm-dd
calendar_end_date：公历结束日期，格式为YYYY-mm-dd
Year：年份
dengue_total：对应地域与时间区间内的登革热总病例数（详见登革热分类规程与登革热重复计数规程）
case_definition_standardised：标准化后的病例定义标准
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），对应数据来源文件
<b>2.</b><b> </b><b>源文件（source_files_V1.2.zip）</b>：此类源文件包含用于构建登革热开放项目数据库的原始数据，可通过其对应的UUID进行访问。
<b>3. 元数据（metadata_V1.2.xlsx）</b>：包含针对经检索、定位与提取的原始数据源类别的相关元数据。