Herrero Carmen, Villar Antonio
Department of Economics, University of Alicante, Alicante, Spain.
Department of Economics, Universidad Pablo de Olavide, Seville, Spain.
PLoS One. 2020 Sep 11;15(9):e0238970. doi: 10.1371/journal.pone.0238970. eCollection 2020.
The expansion of Covid-19 has severely hit the community's health all over the world, killing hundreds of thousands of people, subjecting health systems to an enormous stress (besides derailing economic activities and altering personal and social behavior). Two elements are essential to monitor the evolution of the pandemic as well as to analyze the effectiveness of the response measures: reliable data and useful indicators. We present an indicator that helps to assess the impact of Covid-19 on the community's health, combining two different components: the extent of the pandemics (i.e. the share of the population affected) and its severity (the intensity of the disease on those affected). The severity measure derives from the application of an evaluation protocol that allows comparing population distributions based on the proportions of those affected with different health conditions. We illustrate the functioning of this indicator over a case study regarding the situation of the Italian regions on March 9 (the beginning of the confinement) and April 8, 2020, one month later.
新冠疫情的蔓延已严重冲击全球各地的社区健康，导致数十万人死亡，使卫生系统承受巨大压力（此外还扰乱了经济活动，改变了个人和社会行为）。监测疫情演变以及分析应对措施的有效性有两个关键要素：可靠的数据和有用的指标。我们提出了一个有助于评估新冠疫情对社区健康影响的指标，它结合了两个不同的组成部分：疫情的范围（即受影响人口的比例）及其严重程度（疾病对受影响者的影响强度）。严重程度的衡量源自一种评估方案的应用，该方案允许根据不同健康状况下受影响人群的比例来比较人口分布情况。我们通过一个案例研究来说明该指标的作用，该案例涉及2020年3月9日（封锁开始时）和一个月后的4月8日意大利各地区的情况。
