Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study
BackgroundCOVID-19, which emerged in December 2019, has spread rapidly around the world and has become a serious public health event endangering human life. With regard to COVID-19, there are still many unknowns, such as the exact case fatality rate (CFR). Objecti...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2022-02-01
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| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2022/2/e32638 |
| _version_ | 1797735317046820864 |
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| author | Mengqing Yan Wenjun Kang Zhifeng Guo Qi Wang Peizhong Peter Wang Yun Zhu Yongli Yang Wei Wang |
| author_facet | Mengqing Yan Wenjun Kang Zhifeng Guo Qi Wang Peizhong Peter Wang Yun Zhu Yongli Yang Wei Wang |
| author_sort | Mengqing Yan |
| collection | DOAJ |
| description |
BackgroundCOVID-19, which emerged in December 2019, has spread rapidly around the world and has become a serious public health event endangering human life. With regard to COVID-19, there are still many unknowns, such as the exact case fatality rate (CFR).
ObjectiveThe main objective of this study was to explore the value of the discharged CFR (DCFR) to make more accurate forecasts of epidemic trends of COVID-19 in Italy.
MethodsWe retrieved the epidemiological data of COVID-19 in Italy published by the John Hopkins Coronavirus Resource Center. We then used the proportion of deaths to discharged cases（including deaths and recovered cases） to calculate the total DCFR (tDCFR), monthly DCFR (mDCFR), and stage DCFR (sDCFR). Furthermore, we analyzed the trend in the mDCFR between January and December 2020 using joinpoint regression analysis, used ArcGIS version 10.7 to visualize the spatial distribution of the epidemic CFR, and assigned different colors to each province based on the CFR or tDCFR.
ResultsWe calculated the numbers and obtained the new indices of the tDCFR and mDCFR for calculating the fatality rate. The results showed that the tDCFR and mDCFR fluctuated greatly from January to May. They first showed a rapid increase followed by a rapid decline after reaching the peak. The map showed that the provinces with a high tDCFR were Emilia-Romagna, Puglia, and Lombardia. The change trend of the mDCFR over time was divided into the following 2 stages: the first stage (from January to May) and the second stage (from June to December). With regard to worldwide COVID-19 statistics, among 6 selected countries, the United States had the highest tDCFR (4.26%), while the tDCFR of the remaining countries was between 0.98% and 2.72%.
ConclusionsWe provide a new perspective for assessing the fatality of COVID-19 in Italy, which can use ever-changing data to calculate a more accurate CFR and scientifically predict the development trend of the epidemic. |
| first_indexed | 2024-03-12T12:57:18Z |
| format | Article |
| id | doaj.art-2cf174c6ebe541e88c52ffda3534fe6f |
| institution | Directory Open Access Journal |
| issn | 2369-2960 |
| language | English |
| last_indexed | 2024-03-12T12:57:18Z |
| publishDate | 2022-02-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj.art-2cf174c6ebe541e88c52ffda3534fe6f2023-08-28T20:46:40ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602022-02-0182e3263810.2196/32638Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological StudyMengqing Yanhttps://orcid.org/0000-0002-8711-8786Wenjun Kanghttps://orcid.org/0000-0003-3893-6835Zhifeng Guohttps://orcid.org/0000-0001-6890-2519Qi Wanghttps://orcid.org/0000-0002-7091-5666Peizhong Peter Wanghttps://orcid.org/0000-0002-0682-6861Yun Zhuhttps://orcid.org/0000-0002-5864-0794Yongli Yanghttps://orcid.org/0000-0002-8220-8133Wei Wanghttps://orcid.org/0000-0001-7492-6795 BackgroundCOVID-19, which emerged in December 2019, has spread rapidly around the world and has become a serious public health event endangering human life. With regard to COVID-19, there are still many unknowns, such as the exact case fatality rate (CFR). ObjectiveThe main objective of this study was to explore the value of the discharged CFR (DCFR) to make more accurate forecasts of epidemic trends of COVID-19 in Italy. MethodsWe retrieved the epidemiological data of COVID-19 in Italy published by the John Hopkins Coronavirus Resource Center. We then used the proportion of deaths to discharged cases（including deaths and recovered cases） to calculate the total DCFR (tDCFR), monthly DCFR (mDCFR), and stage DCFR (sDCFR). Furthermore, we analyzed the trend in the mDCFR between January and December 2020 using joinpoint regression analysis, used ArcGIS version 10.7 to visualize the spatial distribution of the epidemic CFR, and assigned different colors to each province based on the CFR or tDCFR. ResultsWe calculated the numbers and obtained the new indices of the tDCFR and mDCFR for calculating the fatality rate. The results showed that the tDCFR and mDCFR fluctuated greatly from January to May. They first showed a rapid increase followed by a rapid decline after reaching the peak. The map showed that the provinces with a high tDCFR were Emilia-Romagna, Puglia, and Lombardia. The change trend of the mDCFR over time was divided into the following 2 stages: the first stage (from January to May) and the second stage (from June to December). With regard to worldwide COVID-19 statistics, among 6 selected countries, the United States had the highest tDCFR (4.26%), while the tDCFR of the remaining countries was between 0.98% and 2.72%. ConclusionsWe provide a new perspective for assessing the fatality of COVID-19 in Italy, which can use ever-changing data to calculate a more accurate CFR and scientifically predict the development trend of the epidemic.https://publichealth.jmir.org/2022/2/e32638 |
| spellingShingle | Mengqing Yan Wenjun Kang Zhifeng Guo Qi Wang Peizhong Peter Wang Yun Zhu Yongli Yang Wei Wang Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study JMIR Public Health and Surveillance |
| title | Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study |
| title_full | Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study |
| title_fullStr | Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study |
| title_full_unstemmed | Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study |
| title_short | Determining the Case Fatality Rate of COVID-19 in Italy: Novel Epidemiological Study |
| title_sort | determining the case fatality rate of covid 19 in italy novel epidemiological study |
| url | https://publichealth.jmir.org/2022/2/e32638 |
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