Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study

Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological in...
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Autor*in:	Tan, Jinlin [verfasserIn] Wu, Zhilong Gan, Lin Zhong, Qianhong Zhu, Yajuan Li, Yufen Zhang, Dingmei

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	COVID-19 Case fatality rate Variant Vaccination Prevention and control measures

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: Journal of epidemiology and global health - Amsterdam [u.a.] : Elsevier, 2011, 12(2022), 4 vom: 26. Sept., Seite 456-471
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:4 ; day:26 ; month:09 ; pages:456-471

Links:	Volltext

DOI / URN:	10.1007/s44197-022-00064-2

Katalog-ID:	SPR048815624

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520			\|a Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR.
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allfields	10.1007/s44197-022-00064-2 doi (DE-627)SPR048815624 (SPR)s44197-022-00064-2-e DE-627 ger DE-627 rakwb eng Tan, Jinlin verfasserin aut Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. COVID-19 (dpeaa)DE-He213 Case fatality rate (dpeaa)DE-He213 Variant (dpeaa)DE-He213 Vaccination (dpeaa)DE-He213 Prevention and control measures (dpeaa)DE-He213 Wu, Zhilong aut Gan, Lin aut Zhong, Qianhong aut Zhu, Yajuan aut Li, Yufen aut Zhang, Dingmei aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 12(2022), 4 vom: 26. Sept., Seite 456-471 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:12 year:2022 number:4 day:26 month:09 pages:456-471 https://dx.doi.org/10.1007/s44197-022-00064-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 4 26 09 456-471
spelling	10.1007/s44197-022-00064-2 doi (DE-627)SPR048815624 (SPR)s44197-022-00064-2-e DE-627 ger DE-627 rakwb eng Tan, Jinlin verfasserin aut Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. COVID-19 (dpeaa)DE-He213 Case fatality rate (dpeaa)DE-He213 Variant (dpeaa)DE-He213 Vaccination (dpeaa)DE-He213 Prevention and control measures (dpeaa)DE-He213 Wu, Zhilong aut Gan, Lin aut Zhong, Qianhong aut Zhu, Yajuan aut Li, Yufen aut Zhang, Dingmei aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 12(2022), 4 vom: 26. Sept., Seite 456-471 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:12 year:2022 number:4 day:26 month:09 pages:456-471 https://dx.doi.org/10.1007/s44197-022-00064-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 4 26 09 456-471
allfields_unstemmed	10.1007/s44197-022-00064-2 doi (DE-627)SPR048815624 (SPR)s44197-022-00064-2-e DE-627 ger DE-627 rakwb eng Tan, Jinlin verfasserin aut Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. COVID-19 (dpeaa)DE-He213 Case fatality rate (dpeaa)DE-He213 Variant (dpeaa)DE-He213 Vaccination (dpeaa)DE-He213 Prevention and control measures (dpeaa)DE-He213 Wu, Zhilong aut Gan, Lin aut Zhong, Qianhong aut Zhu, Yajuan aut Li, Yufen aut Zhang, Dingmei aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 12(2022), 4 vom: 26. Sept., Seite 456-471 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:12 year:2022 number:4 day:26 month:09 pages:456-471 https://dx.doi.org/10.1007/s44197-022-00064-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 4 26 09 456-471
allfieldsGer	10.1007/s44197-022-00064-2 doi (DE-627)SPR048815624 (SPR)s44197-022-00064-2-e DE-627 ger DE-627 rakwb eng Tan, Jinlin verfasserin aut Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. COVID-19 (dpeaa)DE-He213 Case fatality rate (dpeaa)DE-He213 Variant (dpeaa)DE-He213 Vaccination (dpeaa)DE-He213 Prevention and control measures (dpeaa)DE-He213 Wu, Zhilong aut Gan, Lin aut Zhong, Qianhong aut Zhu, Yajuan aut Li, Yufen aut Zhang, Dingmei aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 12(2022), 4 vom: 26. Sept., Seite 456-471 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:12 year:2022 number:4 day:26 month:09 pages:456-471 https://dx.doi.org/10.1007/s44197-022-00064-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 4 26 09 456-471
allfieldsSound	10.1007/s44197-022-00064-2 doi (DE-627)SPR048815624 (SPR)s44197-022-00064-2-e DE-627 ger DE-627 rakwb eng Tan, Jinlin verfasserin aut Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. COVID-19 (dpeaa)DE-He213 Case fatality rate (dpeaa)DE-He213 Variant (dpeaa)DE-He213 Vaccination (dpeaa)DE-He213 Prevention and control measures (dpeaa)DE-He213 Wu, Zhilong aut Gan, Lin aut Zhong, Qianhong aut Zhu, Yajuan aut Li, Yufen aut Zhang, Dingmei aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 12(2022), 4 vom: 26. Sept., Seite 456-471 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:12 year:2022 number:4 day:26 month:09 pages:456-471 https://dx.doi.org/10.1007/s44197-022-00064-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 4 26 09 456-471
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Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. 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author	Tan, Jinlin
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topic_title	Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study COVID-19 (dpeaa)DE-He213 Case fatality rate (dpeaa)DE-He213 Variant (dpeaa)DE-He213 Vaccination (dpeaa)DE-He213 Prevention and control measures (dpeaa)DE-He213
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title_full	Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study
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author_browse	Tan, Jinlin Wu, Zhilong Gan, Lin Zhong, Qianhong Zhu, Yajuan Li, Yufen Zhang, Dingmei
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title_sort	impact of vaccination and control measures on the fatality of covid-19: an ecological study
title_auth	Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study
abstract	Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. © The Author(s) 2022
abstractGer	Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. © The Author(s) 2022
abstract_unstemmed	Background During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal. Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR. © The Author(s) 2022
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title_short	Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study
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author2	Wu, Zhilong Gan, Lin Zhong, Qianhong Zhu, Yajuan Li, Yufen Zhang, Dingmei
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up_date	2024-07-03T21:39:00.150Z
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Objective This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures. Methods This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality. Results Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%. Conclusion A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COVID-19</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Case fatality rate</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Variant</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vaccination</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prevention and control measures</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Zhilong</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gan, Lin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhong, Qianhong</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhu, Yajuan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Yufen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Dingmei</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of epidemiology and global health</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 2011</subfield><subfield code="g">12(2022), 4 vom: 26. 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