Association of COVID-19 mortality with politics and on-demand testing in 217 U.S. counties.
Association of COVID-19 mortality with politics and on-demand testing in 217 U.S. counties.
复制标题
DOI：
10.1186/s12889-021-12063-2
复制
发表时间：
2021-12-02
影响因子：
4.5
通讯作者：
Robertson LS
中科院分区：
文献类型：
--
作者：
Robertson LS
此前的研究发现，COVID-19传播的增加与政治和按需测试有关，但在同一项研究中却没有发现。本研究的目的是估计每一个的贡献校正其他和各种已知的风险因素。数据来自217个美国在2021年4月可获得检测数据的50，000多人口的县中，通过泊松和最小二乘回归检验了COVID-19死亡与政治、检测和其他风险因素的关联。对15个风险因素的统计控制未能消除COVID死亡风险与2016年唐纳德特朗普的投票百分比或每个人群的阴性测试之间的关联。每一种都是死亡率增加的独立预测因素。显然，许多SARS-CoV-2病毒检测呈阴性的人从事的活动增加了他们的风险，随着家庭检测的可用性，这个问题可能会增加。阴性检测与特朗普的投票没有关联，但根据民调数据，特朗普选民过去对公共卫生建议的抵制已经扩展到抵制接种疫苗，威胁到群体免疫的目标。
Previous research found increased COVID-19 spread associated with politics and on-demand testing but not in the same study. The objective of this study is to estimate the contribution of each corrected for the other and a variety of known risk factors. Using data from 217 U.S. counties of more than 50,000 population where testing data were available in April, 2021, the associations of COVID-19 deaths with politics, testing and other risk factors were examined by Poisson and least squares regression. Statistical controls for 15 risk factors failed to eliminate the association of COVID mortality risk with percent of vote for Donald Trump in 2016 or negative tests per population. Each is independently predictive of increased mortality. Apparently, many people who test negative for the SARS-CoV-2 virus engage in activities that increase their risk, a problem likely to increase with the availability of home tests. There is no association of negative tests with the Trump vote but, according to polling data, Trump voters’ past resistance to public health recommendations has been extended to resistance to being vaccinated, threatening the goal of herd immunity.
登录
查看更多内容
影响因子：
13.8
作者：
Lash RR;Moonan PK;Byers BL;Bonacci RA;Bonner KE;Donahue M;Donovan CV;Grome HN;Janssen JM;Magleby R;McLaughlin HP;Miller JS;Pratt CQ;Steinberg J;Varela K;Anschuetz GL;Cieslak PR;Fialkowski V;Fleischauer AT;Goddard C;Johnson SJ;Morris M;Moses J;Newman A;Prinzing L;Sulka AC;Va P;Willis M;Oeltmann JE;COVID-19 Contact Tracing Assessment Team
通讯作者：
COVID-19 Contact Tracing Assessment Team
影响因子：
13.6
作者：
Clinton J;Cohen J;Lapinski J;Trussler M
通讯作者：
Trussler M
DOI：
10.1007/s11524-021-00514-5
发表时间：
2021-04
期刊：
Journal of urban health : bulletin of the New York Academy of Medicine
影响因子：
--
作者：
Robertson LS
通讯作者：
Robertson LS
影响因子：
4.2
作者：
Adolph, Christopher;Amano, Kenya;Wilkerson, John
通讯作者：
Wilkerson, John
影响因子：
1.1
作者：
Kahane LH
通讯作者：
Kahane LH