The rapid spread of the new SARS-CoV-2 virus triggered a global health crisis disproportionately impacting people with pre-existing health conditions and particular demographic and socioeconomic characteristics. One of the main concerns of governments has been to avoid the overwhelm of health systems. For this reason, they have implemented a series of non-pharmaceutical measures to control the spread of the virus, with mass tests being one of the most effective control. To date, public health officials continue to promote some of these measures, mainly due to delays in mass vaccination and the emergence of new virus strains. In this study, we studied the association between COVID-19 positivity rate and hospitalization rates at the county level in California using a mixed linear model. The analysis was performed in the three waves of confirmed COVID-19 cases registered in the state to September 2021. Our findings suggest that test positivity rate is consistently associated with hospitalization rates at the county level for all waves of study. Demographic factors that seem to be related with higher hospitalization rates changed over time, as the profile of the pandemic impacted different fractions of the population in counties across California.
翻译:新的SARS-COV-2病毒的迅速传播引发了一场全球健康危机,对具有原有健康状况和特殊人口和社会经济特征的人产生了不成比例的影响。各国政府的主要关切之一是避免卫生系统的过度拥挤。因此,它们采取了一系列非药物措施控制病毒的传播,大规模测试是最有效的控制手段之一。迄今为止,公共卫生官员继续推行其中一些措施,这主要是由于大规模疫苗接种的拖延和新的病毒菌株的出现。我们在本研究中,利用混合线性模型研究了加利福尼亚县一级COVID-19阳性率和住院率之间的联系。分析是在截至2021年9月在加利福尼亚州登记的三波经证实的COVID-19病例中进行的。我们的调查结果表明,试验的假定率始终与县一级所有研究浪潮的住院率挂钩。人口因素似乎与较高的住院率有关,因为流行病的特征影响到加利福尼亚州不同人口部分。