COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data.
COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data.
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DOI：
10.1136/bmjopen-2020-043560
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发表时间：
2020-11-03
期刊：
影响因子：
2.9
通讯作者：
Montgomery S
中科院分区：
文献类型：
--
作者：
Cao Y;Hiyoshi A;Montgomery S
探讨人口和社会经济因素对全球新冠肺炎病死率的影响。公开可用的基于登记册的生态研究。世界上209个国家/地区。汇总数据包括10例 445 656例新冠肺炎确诊病例。新冠肺炎病死率和粗死因死亡率是使用来自Our World in Data网站的国家数据计算的。全球特定国家/地区的新冠肺炎CFR平均值约为 的2%-3%，高于此前报道的0.7%-1.3%。人口规模翻一番与新冠肺炎净收益增加0.48%(95%可信区间0.25%至0.70%)相关，女性吸烟者比例翻一番与新冠肺炎净收益增加0.55%(95%可信区间0.09%至1.02%)相关。开放测试策略与CFR降低2.23%(95%可信区间0.21%至4.25%)相关。反新冠肺炎措施的严格性与病死率总体上没有统计学意义上的相关性，但在拥有积极检测政策的高收入国家中，严格性指数越高，病死率越高(回归系数β=0.14，95% CI 0.01至0.27)。心血管疾病死亡率与糖尿病患病率和CFR之间存在负相关。人口规模和新冠肺炎病死率之间的关联可能意味着人口众多的国家的医疗压力和较低的治疗效率。观察到女性吸烟与新冠肺炎CFR之间的关联可能是因为发现女性吸烟者的比例大致反映了一个国家的收入水平。当检测得到保证且医疗资源充足时，严格的隔离和/或封锁措施可能会导致贫困人口过度死亡。在制定应对新冠肺炎大流行的全球联合战略和/或政策时，应考虑到数据的空间相关性和时间趋势。
To investigate the influence of demographic and socioeconomic factors on the COVID-19 case-fatality rate (CFR) globally. Publicly available register-based ecological study. Two hundred and nine countries/territories in the world. Aggregated data including 10 445 656 confirmed COVID-19 cases. COVID-19 CFR and crude cause-specific death rate were calculated using country-level data from the Our World in Data website. The average of country/territory-specific COVID-19 CFR is about 2%–3% worldwide and higher than previously reported at 0.7%–1.3%. A doubling in size of a population is associated with a 0.48% (95% CI 0.25% to 0.70%) increase in COVID-19 CFR, and a doubling in the proportion of female smokers is associated with a 0.55% (95% CI 0.09% to 1.02%) increase in COVID-19 CFR. The open testing policies are associated with a 2.23% (95% CI 0.21% to 4.25%) decrease in CFR. The strictness of anti-COVID-19 measures was not statistically significantly associated with CFR overall, but the higher Stringency Index was associated with higher CFR in higher-income countries with active testing policies (regression coefficient beta=0.14, 95% CI 0.01 to 0.27). Inverse associations were found between cardiovascular disease death rate and diabetes prevalence and CFR. The association between population size and COVID-19 CFR may imply the healthcare strain and lower treatment efficiency in countries with large populations. The observed association between smoking in women and COVID-19 CFR might be due to the finding that the proportion of female smokers reflected broadly the income level of a country. When testing is warranted and healthcare resources are sufficient, strict quarantine and/or lockdown measures might result in excess deaths in underprivileged populations. Spatial dependence and temporal trends in the data should be taken into account in global joint strategy and/or policy making against the COVID-19 pandemic.
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影响因子：
6.3
作者：
Berry SD;Ngo L;Samelson EJ;Kiel DP
通讯作者：
Kiel DP
影响因子：
4.7
作者：
Gallus S;Lugo A;Liu X;Behrakis P;Boffi R;Bosetti C;Carreras G;Chatenoud L;Clancy L;Continente X;Dobson R;Effertz T;Filippidis FT;Fu M;Geshanova G;Gorini G;Keogan S;Ivanov H;Lopez MJ;Lopez-Nicolas A;Precioso J;Przewozniak K;Radu-Loghin C;Ruprecht A;Semple S;Soriano JB;Starchenko P;Trapero-Bertran M;Tigova O;Tzortzi AS;Vardavas C;Vyzikidou VK;Colombo P;Fernandez E;TackSHS Project Investigators
通讯作者：
TackSHS Project Investigators
DOI：
10.4049/jimmunol.1601896
发表时间：
2017-05-15
期刊：
Journal of immunology (Baltimore, Md. : 1950)
影响因子：
--
作者：
Channappanavar R;Fett C;Mack M;Ten Eyck PP;Meyerholz DK;Perlman S
通讯作者：
Perlman S
影响因子：
4.6
作者：
Bram JT;Warwick-Clark B;Obeysekare E;Mehta K
通讯作者：
Mehta K
影响因子：
19.6
作者：
Cheng, Yichun;Luo, Ran;Xu, Gang
通讯作者：
Xu, Gang