Modeling COVID-19 positivity rates and hospitalizations in Texas

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Modeling COVID-19 positivity rates and hospitalizations in Texas

机译：建模Covid-19德克萨斯州的积极率和住院

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The aim of this study was to jointly model COVID-19 test positivity rates and hospitalizations in Texas using Bayesian joinpoint regression. The data for both test positivity rates and hospitalizations were obtained from the Texas Department of State Health Services between April 5 and October 19, 2020. The stage 1 model identifies four significant shifts in test positivity rates, three of which occur roughly 9 days after documented policy or behavioral changes statewide. Estimated positivity rates from the first model were then used to predict hospitalization rates and to estimate lag time between changes in positivity and hospitalization. The resulting lag time is 9.056 days (± 3.808). Both models are valuable to policy makers and public health officials as they study the impact of behavioral patterns on disease prevalence and resulting hospitalizations.

机译：本研究的目的是在德克萨斯州使用贝叶斯·加入点回归共同模拟Covid-19测试积极率和住院治疗。从4月5日至10月19日至10月19日至10月19日至10月19日至10月19日至10月19日至10月19日至10月19日期间获得了测试积极率和住院的数据。第1阶段模型确定了测试积极率的四个显着变化，其中三个在记录后大约9天发生策略或行为更改州所有。然后使用来自第一模型的估计积极性率来预测住院率，并估计积极性和住院变化之间的滞后时间。得到的滞后时间为9.056天（±3.808）。这两种型号都对决策者和公共卫生官员来说有价值，因为他们研究了行为模式对疾病患病率和所产生的住院治疗的影响。

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《Model assisted statistics and applications》 |2021年第1期|53-58|共6页
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COVID-19; Bayesian joinpoint model; lag time; rates; trends;

机译：Covid-19;贝叶斯·霍博特点模型;滞后时间;率;趋势;

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机译：未来Covid-19案例，住院治疗和死亡的建模，疫苗接种率和非药物干预情景 - 美国，4月至9月2021年
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机译：Covid-19 Alborz省/伊朗患者Covid-19成人住院患者的临床和实验室结果：RRT-PCR阳性和阴性的比较
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机译：低白蛋白血症：被低估，至关重要住院COVID-19阳性患者的特征？
4. Assessing the Impact of Government Interventions on the Spread of COVID-19 with Dynamic Epidemic Models: A case study of Texas [C] . Layla S. Araiinejad, Yuexin Li, Jacqueline R. Carlton, IEEE International Conference on Bioinformatics and Biomedicine . 2020

机译：评估政府干预对Covid-19带来动态流行模式的影响：德克萨斯州的案例研究
5. Epidemiological trends of influenza A positive patients hospitalized at St. Luke's Episcopal Hospital, Houston, Texas September, 2009--January, 2010. [D] . Correia, Kristen N. 2011

机译：2009年9月至2010年1月在得克萨斯州休斯敦圣卢克主教医院住院的甲型流感阳性患者的流行病学趋势。
6. Modeling the Contribution of Male Testosterone Levels to the Duration of Positive COVID Testing among Hospitalized Male COVID-19 Patients [O] . Stefano Salciccia, Michael L. Eisenberg, Martina Maggi, 2021

机译：将男性睾酮水平的贡献建模到住院雄性Covid-19患者阳性Covid试验持续时间
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Modeling COVID-19 positivity rates and hospitalizations in Texas

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