Dissemination of information in event-based surveillance, a case study of Avian Influenza - dataset

This dataset contains a set of tables corresponding to the manual analysis of outbreak-related reports detected by two event-based surveillance tools, PADI-web and HealthMap, supporting the submitted article "Dissemination of information in event-based surveillance, a case study of Avian Influenza". The reports were published between 1 July 2018 and 30^st June 2019 and described one or several avian influenza outbreaks. We collected 337 reports from PADI-web and 115 from HealthMap. Two epidemiologists identified all the reported events in the news, and classified them as official (notified to the World Organization for Animal Health) or non-official. In order to trace back the source of the event’s information, the epidemiologist manually traced the information pathway of all events mentioned in the PADI-web and HealthMap news. The pathway was deducted from the sources cited in the news. When a source was cited with a hyperlink, we followed the hyperlink to retrace the information pathway as far as possible to the primary source. For each cited source, we created a pair of emitter <em>S_E</em> and receptor sources <em>S_R</em>. We labelled each new source with its type (e.g. online news source, national veterinary authority, etc.). We also recorded their geographical focus (local, national or international) and their specialization in the animal health news coverage (general or specialized). The script for data analyses is available at https://github.com/SarahVal/EBS-network.本数据集包含一组表格，对应于两项基于事件的监测工具PADI-web与HealthMap所检测到的暴发相关报告的人工分析结果，用以支撑提交的论文《基于事件的监测中的信息传播：禽流感案例研究》。相关报告发布于2018年7月1日至2019年6月30日期间，描述了1起或多起禽流感暴发事件。我们从PADI-web中收集了337份报告，从HealthMap中收集了115份报告。两位流行病学家对新闻中的所有报告事件进行了识别，并将其划分为官方（已向世界动物卫生组织（World Organization for Animal Health）通报）与非官方两类。为追溯事件的信息来源，流行病学家手动回溯了PADI-web与HealthMap新闻中提及的所有事件的信息路径，该路径由新闻中引用的来源推导而来。当某一来源附带超链接时，我们会顺着该超链接尽可能追溯至原始来源。对于每个引用来源，我们构建了一组信息发送源<em>S_E</em>与信息接收源<em>S_R</em>的配对。我们为每个新来源标注其类型（例如在线新闻源、国家兽医主管部门等），同时记录其地理覆盖范围（本地、全国或国际），以及其在动物健康新闻报道领域的专业化程度（综合型或专业型）。数据分析脚本可在https://github.com/SarahVal/EBS-network获取。