Counts of Dengue without warning signs reported in CAYMAN ISLANDS: 1995-2005

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:
- Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported.
- Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

Project Tycho数据集（Project Tycho）收录全球各国报告的各类疾病病例统计数据。Project Tycho数据整理团队从各类权威数据源提取此类病例数，来源通常为国家或国际卫生主管机构，例如美国疾病控制与预防中心（US Centers for Disease Control）、世界卫生组织（World Health Organization）等。上述原始数据源涵盖开放获取与受限访问两类，针对受限访问数据源，Project Tycho团队已获得数据贡献方的再分发许可。所有数据集内的病例数均与原始发布的统计数值完全一致，未被团队以任何方式篡改。Project Tycho团队还通过新增标准化疾病与位置标识符等变量对数据集完成预处理，以提升数据可解释性，并将数据统一格式化为标准数据格式。

每个Project Tycho数据集针对特定疾病（如麻疹）与特定国家（如美国）收录病例数，按时间间隔进行统计报告。除病例数本身外，数据集还包含相关属性信息，例如统计地点、年龄分组、亚人群、诊断确定性、感染来源，以及病例数的提取来源。单个数据集可包含多组病例数时间序列，例如“美国疾病控制与预防中心发布的美国麻疹病例数”“世界卫生组织发布的美国麻疹病例数”“境外输入性美国麻疹病例数”等。

根据数据集的使用场景，我们建议在开展分析前完成以下数据处理步骤：
- 缺失数据处理：Project Tycho数据集未收录无病例数报告的时间区间（部分数据集的病例数时间序列因源文档不完整而存在缺失，用户需自行补充无统计值的时间区间）；不过数据集已收录病例数为0的时间区间。
- 区分累积型与非累积型时间序列：Project Tycho数据集中的病例数时间序列可分为“累积型”与“固定间隔型”。累积型病例数时间序列由重叠的统计区间构成，所有区间起始日期一致但结束日期各不相同。例如，某累积计数序列的所有区间均始于1月1日，结束日期分别为1月7日、14日、21日等。公共卫生机构常采用累积时间区间开展病例报告工作。固定间隔型病例数序列由互斥的时间区间构成，所有区间的起止日期均不相同，但时长一致（如日、周、月、年）。鉴于两类数据的性质存在差异，团队为每个统计值新增了名为PartOfCumulativeCountSeries的属性字段，以标识其所属类型。