Mapping population vulnerability and community support during COVID-19: a case study from Wales.
Mapping population vulnerability and community support during COVID-19: a case study from Wales.
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DOI：
10.23889/ijpds.v5i4.1409
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发表时间：
2021-04-19
影响因子：
--
通讯作者：
Davies A
中科院分区：
文献类型：
--
作者：
Di Cara NH;Song J;Maggio V;Moreno-Stokoe C;Tanner AR;Woolf B;Davis OS;Davies A
COVID-19疫情等灾害对资源造成巨大需求，而官方机构并不总能满足这些需求。有限的资源和对危机的人力反应可能导致当地社区成员相互求助，以满足眼前的需要。这种由公民主导的自发反应对社区科普危机的能力至关重要。因此，必须了解这些举措的范围，以便在最需要的地方提供支助。然而，迅速发展的情况和不同的定义可能使社区的反应难以衡量。创建一个可访问的互动地图，以反映英国威尔士COVID-19大流行期间公民主导的社区应对需求，该地图结合了从多个数据提供商收集的信息，以反映对需求和支持的不同解释。我们从官方数据提供者和社区生成的来源收集数据，以创建14个代表需求和支持的变量。这些变量由可重复的数据管道导出，可以灵活地集成新数据。这一互动工具可在网上（www.covidresponsemap.wales）查阅，并能以两种地理分辨率绘制现有数据。用户选择他们感兴趣的变量，并解释地图的帮助下，一个链接的蜂群图。我们开发的新方法使社区各级人员能够探索和分析威尔士各地的需求和支持分布。虽然社区生成的数据的准确性可能存在限制，但我们证明它们可以与传统数据源一起有效地使用，以最大限度地了解社区行动。这增加了我们衡量社区反应和复原力的总体目标，并使各种受众能够获得复杂的人口健康数据。未来的发展包括纳入其他因素，如福祉。
Disasters such as the COVID-19 pandemic pose an overwhelming demand on resources that cannot always be met by official organisations. Limited resources and human response to crises can lead members of local communities to turn to one another to fulfil immediate needs. This spontaneous citizen-led response can be crucial to a community’s ability to cope in a crisis. It is thus essential to understand the scope of such initiatives so that support can be provided where it is most needed. Nevertheless, quickly developing situations and varying definitions can make the community response challenging to measure. To create an accessible interactive map of the citizen-led community response to need during the COVID-19 pandemic in Wales, UK that combines information gathered from multiple data providers to reflect different interpretations of need and support. We gathered data from a combination of official data providers and community-generated sources to create 14 variables representative of need and support. These variables are derived by a reproducible data pipeline that enables flexible integration of new data. The interactive tool is available online (www.covidresponsemap.wales) and can map available data at two geographic resolutions. Users choose their variables of interest, and interpretation of the map is aided by a linked bee-swarm plot. The novel approach we developed enables people at all levels of community response to explore and analyse the distribution of need and support across Wales. While there can be limitations to the accuracy of community-generated data, we demonstrate that they can be effectively used alongside traditional data sources to maximise the understanding of community action. This adds to our overall aim to measure community response and resilience, as well as to make complex population health data accessible to a range of audiences. Future developments include the integration of other factors such as well-being.
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影响因子：
7.4
作者：
Kim Y;Huang J;Emery S
通讯作者：
Emery S
DOI：
10.1073/pnas.1906364117
发表时间：
2020-05-12
影响因子：
11.1
作者：
Jaidka, Kokil;Giorgi, Salvatore;Eichstaedt, Johannes C.
通讯作者：
Eichstaedt, Johannes C.
影响因子：
6.9
作者：
Daly M;Sutin AR;Robinson E
通讯作者：
Robinson E
影响因子：
3.6
作者：
Asadi-Lari, Mohsen;Packham, Chris;Gray, David
通讯作者：
Gray, David
影响因子：
3.5
作者：
Amano, K;Sago, H;Yamakawa, K
通讯作者：
Yamakawa, K