Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave (150 views)
Health Policy (ISSN: 0168-8510, 0168-8510linking), 2021 Nov; 125(11): 1441-1447.
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Paper type: Research, Journal Article,
Impact factor: 2.98, 5-year impact factor: 2.296
Url: https://www.sciencedirect.com/science/article/pii/S0168851021002414
Keywords: Covid-19, Sars-Cov-2, Lockdown, Modelling, Health Policy, Public Health, Communicable Disease Control , Humans , Pandemics Prevention, Spain Epidemiology,
Affiliations:
*** IBB - CNR ***
National Research Council, Institute of Biostructure and Bioimaging, Via Tommaso de Amicis, Naples 80145, Italy. Electronic address: rosario.megna@cnr.it.
References:
Not available.
Health Policy (ISSN: 0168-8510, 0168-8510linking), 2021 Nov; 125(11): 1441-1447.
Export to BibTeX Export to EndNote
Paper type: Research, Journal Article,
Impact factor: 2.98, 5-year impact factor: 2.296
Url: https://www.sciencedirect.com/science/article/pii/S0168851021002414
Keywords: Covid-19, Sars-Cov-2, Lockdown, Modelling, Health Policy, Public Health, Communicable Disease Control , Humans , Pandemics Prevention, Spain Epidemiology,
Affiliations:
*** IBB - CNR ***
National Research Council, Institute of Biostructure and Bioimaging, Via Tommaso de Amicis, Naples 80145, Italy. Electronic address: rosario.megna@cnr.it.
References:
Not available.
Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave
The large number of infected persons due to the COVID-19 pandemic and the need of hospital care for many of them induced the majority of world governments to implement lockdown measures. We developed an analytical model to evaluate the trend of the SARS-CoV-2 pandemic. This model was applied to the first four months of the epidemiological data of the most affected countries in Europe and Russia, in order to evaluate the effect of the lockdown on the epidemic curves during the first wave. According to our model, the difference between the beginning of the lockdown and the slope change of the curve representing the daily distribution of counts was: Germany and Spain 6 days, France 7 days, the United Kingdom 9 days, Italy 21 days, and Russia 30 days. On the basis
of these results, we infer a possible cause-effect relationship between the lockdown imposed in countries taken into account and the curve representing the daily distribution of new cases. Lockdown measures imposed by governments slowed the spread of the pandemic and reduced the number of infected persons. In economic terms, the damage was considerable, with entire production sectors in crisis. On the other hand, the efforts and innovations implemented to produce vaccines and effective treatments against the pandemic could be applied also in other fields of public health.
The large number of infected persons due to the COVID-19 pandemic and the need of hospital care for many of them induced the majority of world governments to implement lockdown measures. We developed an analytical model to evaluate the trend of the SARS-CoV-2 pandemic. This model was applied to the first four months of the epidemiological data of the most affected countries in Europe and Russia, in order to evaluate the effect of the lockdown on the epidemic curves during the first wave. According to our model, the difference between the beginning of the lockdown and the slope change of the curve representing the daily distribution of counts was: Germany and Spain 6 days, France 7 days, the United Kingdom 9 days, Italy 21 days, and Russia 30 days. On the basis
of these results, we infer a possible cause-effect relationship between the lockdown imposed in countries taken into account and the curve representing the daily distribution of new cases. Lockdown measures imposed by governments slowed the spread of the pandemic and reduced the number of infected persons. In economic terms, the damage was considerable, with entire production sectors in crisis. On the other hand, the efforts and innovations implemented to produce vaccines and effective treatments against the pandemic could be applied also in other fields of public health.
Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave
Inferring a cause-effect relationship between lockdown restrictions and COVID-19 pandemic trend during the first wave
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View Export to BibTeX Export to EndNote
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Ponsiglione A, Nappi C, Imbriaco M, Ascione R, Megna R, Petretta M, Cuocolo A
* Cardiac magnetic resonance imaging during the COVID-19 pandemic: A southern Italian single-center experience (153 views)
Eur J Radiol Open (ISSN: 2352-0477electronic, 2352-0477linking), 2021; 8: 100319-100319.
Impact Factor: 0.654
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Vincenzi M, Leone M
* The fight against human viruses: how NMR can help (147 views)
Curr Med Chem (ISSN: 0929-8673linking, 1875-533xelectronic), 2021; 28(22): 4380-4453.
Impact Factor: 4.184
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Squeglia F, Romano M, Ruggiero A, Maga G, Berisio R
* Host DDX Helicases as Possible SARS-CoV-2 Proviral Factors: A Structural Overview of Their Hijacking Through Multiple Viral Proteins (150 views)
Front Chem (ISSN: 2296-2646linking), 2020 Dec 10; 8: 602162-602162.
Impact Factor: 3.693
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Megna R
* First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast (489 views)
Glob Health Res Policy (ISSN: 2397-0642linking), 2020 Oct 1; 5: 43-43.
Impact Factor: 8.7
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Pirone L, Del Gatto A, Di Gaetano S, Saviano M, Capasso D, Zaccaro L, Pedone E
* A Multi-Targeting Approach to Fight SARS-CoV-2 Attachment (700 views) (PDF 181 views)
Front Mol Biosci (ISSN: 2296-889xlinking), 2020 Aug 3; 7: 186-186.
Impact Factor: 4.188
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Scarpellini E, Fagoonee S, Rinninella E, Rasetti C, Aquila I, Larussa T, Ricci P, Luzza F, Abenavoli L
* Gut Microbiota and Liver Interaction through Immune System Cross-Talk: A Comprehensive Review at the Time of the SARS-CoV-2 Pandemic (164 views)
J Clin Med (ISSN: 2077-0383linking, 2077-0383electronic), 2020 Aug 3; 9(8): N/D-N/D.
Impact Factor: 6.78
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Romano M, Ruggiero A, Squeglia F, Maga G, Berisio R
* A Structural View of SARS-CoV-2 RNA Replication Machinery: RNA Synthesis, Proofreading and Final Capping (760 views)
Cells (ISSN: 2073-4409linking, 2073-4409electronic), 2020 May 20; 9(5): 1297-1297.
Impact Factor: 6.6
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Costanzo M, De Giglio MAR, Roviello GN
* SARS-CoV-2: Recent Reports on Antiviral Therapies Based on Lopinavir/Ritonavir, Darunavir/Umifenovir, Hydroxychloroquine, Remdesivir, Favipiravir and other Drugs for the Treatment of the New Coronavirus (503 views)
Curr Med Chem (ISSN: 0929-8673linking, 1875-533xelectronic), 2020 Apr 16; 27(27): 4536-4541.
Impact Factor: 4.184
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35 Records (34 excluding Abstracts).
Total impact factor: 165.767 (162.074 excluding Abstracts).
Total 5 year impact factor: 134.365 (130.526 excluding Abstracts).
Total impact factor: 165.767 (162.074 excluding Abstracts).
Total 5 year impact factor: 134.365 (130.526 excluding Abstracts).
150 views. Last view on Monday 02 September 2024, 13:26:52
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