PUBLIC HEALTH - Journal - Bridge of Knowledge

PUBLIC HEALTH

ISSN:

0033-3506

eISSN:

1476-5616

Disciplines
(Field of Science):

culture and religion studies (Humanities)
biomedical engineering (Engineering and Technology)
medical biology (Medical and Health Sciences )
pharmacology and pharmacy (Medical and Health Sciences )
medical sciences (Medical and Health Sciences )
health sciences (Medical and Health Sciences )
food and nutrition technology (Agricultural sciences)

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Ministry points: Help

Ministry points - current year
Year	Points	List
Year 2024	70	Ministry scored journals list 2024

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Ministry points - previous years
Year	Points	List
2024	70	Ministry scored journals list 2024
2023	70	Ministry Scored Journals List
2022	70	Ministry Scored Journals List 2019-2022
2021	70	Ministry Scored Journals List 2019-2022
2020	70	Ministry Scored Journals List 2019-2022
2019	70	Ministry Scored Journals List 2019-2022
2018	25	A
2017	25	A
2016	25	A
2015	25	A
2014	25	A
2013	25	A
2012	25	A
2011	25	A
2010	20	A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year	Points
Year 2023	7.6

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Points CiteScore - previous years
Year	Points
2023	7.6
2022	6.5
2021	4.5
2020	3.6
2019	3.3
2018	2.9
2017	2.4
2016	2.4
2015	2.8
2014	2.9
2013	2.6
2012	2.8
2011	3

Impact Factor:

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Sherpa Romeo:

https://v2.sherpa.ac.uk/id/publication/4816

Papers published in journal

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total: 2

Year 2023

Unmasking the COVID-19 pandemic prevention gains: excess mortality reversal in 2022
Publication
- M. Walkowiak
- J. Domaradzki
- D. Walkowiak
- J. Domaradzki
- PUBLIC HEALTH - Year 2023
Full text to download in external service
Unmasking the COVID-19 Pandemic Prevention Gains: Excess Mortality Reversal in 2022
Publication
- J. Domaradzki
- D. Walkowiak
- M. P. Walkowiak
- PUBLIC HEALTH - Year 2023
Objectives: The purpose of this study was to assess the long-term effectiveness of COVID-19 pandemic prevention measures in saving lives after European governments began to lift restrictions. Study design: Excess mortality interrupted time series.Methods: Country-level weekly data on deaths were fitted to the Poisson mixed linear model to estimate excess deaths. Based on this estimate, the percentage of excess deaths...

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