Counts of Dengue without warning signs reported in PHILIPPINES: 1955-2005

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 interpretabilty. 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, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, 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 inlcude 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 exxclusive 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数据集包含全球各国报告的各类疾病病例数。Project Tycho数据编目团队从各类权威来源提取上述病例数数据，来源通常为国家或国际卫生机构，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。原始数据源涵盖开放获取与受限获取两类，针对受限获取数据源，Project Tycho团队已获得数据贡献者的再分发许可。所有数据集的病例数均与原始来源发布的计数完全一致，Project Tycho团队未对任何计数进行修改。Project Tycho团队已完成数据集预处理工作，新增标准化疾病与位置标识符等变量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。

每份Project Tycho数据集对应特定疾病（如麻疹）与特定国家（如美国）的病例数，按时间间隔进行报告。除病例数外，数据集还包含相关数据属性，例如数据采集地点、年龄分组、亚群体、诊断确定性、感染地点，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报告的美国麻疹病例数""世界卫生组织报告的美国麻疹病例数""境外输入的美国麻疹病例数"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：
1. 处理缺失数据：Project Tycho数据集不会包含未报告病例数的时间区间（多数数据集的病例数时间序列因源文档不全而存在缺失，用户需补充无计数的时间区间）；且数据集仅包含报告病例数为0的时间区间。
2. 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"两类。累积型病例数时间序列由重叠的时间区间组成，所有区间均起始于同一日期，但终止日期各不相同。例如，某累积计数时间序列的每个区间均始于1月1日，终止于1月7日、14日、21日等。公共卫生机构通常会发布累积型时间区间的病例数数据。固定间隔型病例数时间序列由互斥的时间区间组成，所有区间的起止日期均不相同，但时长完全一致（如日、周、月、年）。鉴于这两类病例数数据的性质存在差异，Project Tycho团队已通过每个计数值的"PartOfCumulativeCountSeries"属性进行标注。