论文标题
响应Covid-19
Mapping the South African health landscape in response to COVID-19
论文作者
论文摘要
当Covid-19疾病大流行渗透到世界上时，即时需要准确的信息。与任何爆发一样，爆发遵循明确的轨迹，随后，该爆发的支持信息需要满足与爆发阶段相关的需求。起初，有必要向公众告知与与Covid-19疾病“ WHO”有关的最初情况有关的信息。但是，随着时间的流逝，与公共医疗体系本身有关的“''where”，何时”和“如何”开始出现。公众不容易访问围绕Covid-19医院床的容量，指定的Covid-19设施位置以及与这些设施相关的一般信息的问题。此外，发现可用的信息已过时，在几个平台上分散，并且仍然存在与这些设施相关的数据差距。为了纠正这个问题，一群从事Covid19za项目的志愿者介入了协助。每个领导项目的成员都选择专注于与医院信息相关的挑战中的四个问题之一，包括：数据质量，数据完整性，数据源验证和数据可视化能力。随着项目的发展，项目的复杂性，可视化和核心功能也是如此。该项目的未来前景与渐进式Web应用程序有关，该应用程序将通过全面的映射和数据质量来为公众以及医护人员提供此信息。
When the COVID-19 disease pandemic infiltrated the world, there was an immediate need for accurate information. As with any outbreak, the outbreak follows a clear trajectory, and subsequently, the supporting information for that outbreak needs to address the needs associated with that stage of the outbreak. At first, there was a need to inform the public of the information related to the initial situation related to the "who" of the COVID-19 disease. However, as time continued, the "where", "when" and "how to" related questions started to emerge in relation to the public healthcare system themselves. Questions surrounding the health facilities including COVID-19 hospital bed capacity, locations of designated COVID-19 facilities, and general information related to these facilities were not easily accessible to the general public. Furthermore, the available information was found to be outdated, fragmented across several platforms, and still had gaps in the data related to these facilities. To rectify this problem, a group of volunteers working on the covid19za project stepped in to assist. Each member leading a part of the project chose to focus on one of four problems related to the challenges associated with the Hospital information including: data quality, data completeness, data source validation and data visualisation capacity. As the project developed, so did the sophistication of the data, visualisation and core function of the project. The future prospects of this project relate to a Progressive Web Application that will avail this information for the public as well as healthcare workers through comprehensive mapping and data quality.
