Counts of Dengue reported in VIRGIN ISLANDS (U.S.): 1980-2012

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疾病的病例计数。Project Tycho数据整理团队从各类权威来源提取这些病例计数，通常来自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）或世界卫生组织（World Health Organization）。这些原始数据源包括开放获取和受限获取两类。对于受限获取的数据源，Project Tycho团队已从数据贡献者处获得再分发许可。所有数据集包含的病例计数数据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团队通过添加新变量（如标准化疾病和地点标识符）对数据集进行预处理，以提升数据的可解释性。我们还将数据格式化为标准格式。每个Project Tycho数据集包含特定疾病（如麻疹）和特定国家（如美国）的病例计数。病例计数按时间间隔报告。除病例计数外，数据集还包含这些计数的相关信息（属性），例如地点、年龄组、亚群、诊断确定性、感染地点以及我们提取病例计数的来源。一个数据集可包含多个病例计数时间间隔序列，例如“美国疾病控制与预防中心报告的美国麻疹病例”、“世界卫生组织报告的美国麻疹病例”或“源自国外的美国麻疹病例”等。根据数据集的预期用途，我们建议在分析前执行以下数据处理步骤：- 分析缺失数据：Project Tycho数据集不包含未报告病例计数的时间间隔（由于源文档不完整，许多数据集的病例计数时间序列存在缺失），因此用户需添加无可用计数的时间间隔。数据集会包含报告病例计数为零的时间间隔。- 区分累积与非累积时间间隔序列：Project Tycho数据集中的病例计数时间序列可分为“累积型”或“固定间隔型”。累积型病例计数时间序列由起始日期相同但结束日期不同的重叠病例计数间隔组成。例如，累积计数时间序列中的每个间隔可始于1月1日，而结束于1月7日、14日、21日等。公共卫生机构通常会报告累积时间间隔的病例数。固定时间间隔的病例计数序列由互不重叠的时间间隔组成，所有间隔的起止日期均不同且长度一致（日、周、月、年）。鉴于这两类病例计数数据的性质不同，我们为每个计数值添加了一个名为“PartOfCumulativeCountSeries”的属性来标识其类型。