Improved strategies to counter the COVID-19 pandemic: Lockdowns vs. primary and community healthcare

Farsalinos, Konstantinos; Poulas, Konstantinos; Kouretas, Demetrios; Vantarakis, Apostolos; Leotsinidis, Michalis; Kouvelas, Dimitrios; Docea, Anca Oana; Kostoff, Ronald N.; Gerotziafas, G.; Antoniou, Michael; Polosa, Riccardo; Barbouni, Anastastia; Yiakoumaki, Vassiliki; Giannouchos, Theodoros V.; Bagos, Pantelis G.; Lazopoulos, George; Izotov, Boris N.; Tutelyan, V A; Aschner, Michael; Hartung, Thomas; Wallace, Heather M.; Carvalho, Félix; Domingo, José L.; Tsatsakis, Aristidis

doi:10.1016/j.toxrep.2020.12.001

Cited by 103 publications

(95 citation statements)

References 71 publications

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“…There are no specific treatments for COVID-19 infection yet, although many candidate therapies are being evaluated in clinical trials [ [5] , [6] , [7] , [8] ] and several COVID-19 vaccines are approved or under evaluation for approval by authorities [ [9] , [10] , [11] ]. Initially, social distancing, along with increasing population testing, are the only effective measures to control the pandemic but with several consequences on long-term [ [12] , [13] , [14] ]. Public health measures include non-pharmacological interventions that can be used to reduce and delay community transmission [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

COVID-19 pandemic and alcohol consumption: Impacts and interconnections

et al. 2021

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Section: Introductionmentioning

confidence: 99%

COVID-19 pandemic and alcohol consumption: Impacts and interconnections

et al. 2021

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“…2 Underlying diseases included heart disease, respiratory disease, kidney disease, diabetes, and hypertension. 3 Tokyo metropolitan area included Tokyo, Kanagawa, Saitama, and Chiba prefectures. 4 p-value was calculated using the chi-square test.…”

Section: Resultsmentioning

confidence: 99%

“…2 The independent variables were the factors in model 1 plus perceived likelihood of becoming infected with COVID-19 in the future, perceived severity of a COVID-19 infection, perceived effectiveness of a COVID-19 vaccine, willingness to protect others by getting vaccinated, and the significance of identified factors influencing respondents' decision-making regarding vaccination (three items). 3 Underlying diseases included heart disease, respiratory disease, kidney disease, diabetes, and hypertension. 4 Tokyo metropolitan area included Tokyo, Kanagawa, Saitama, and Chiba prefecture.…”

Section: Resultsmentioning

confidence: 99%

“…The coronavirus disease 2019 (COVID-19) pandemic is a public health threat [ 1 ]. Various COVID-19 pandemic mitigation strategies, such as large-scale physical distancing measures and movement restrictions, often referred to as ‘lockdowns’, have been implemented in various countries [ 2 , 3 ], but the pandemic is still ongoing despite such efforts. Although implementation of personal protective measures by ordinary citizens is key to managing the spread of this infectious disease, vaccination could be a key protective measure against COVID-19 [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Acceptance of a COVID-19 Vaccine in Japan during the COVID-19 Pandemic

et al. 2021

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Vaccination could be a key protective measure against coronavirus disease 2019 (COVID-19), and it is important to understand the acceptability of the COVID-19 vaccine among the general public. However, there is no study on the acceptance of a COVID-19 vaccine in Japan. Therefore, this study aimed to describe the COVID-19 vaccine acceptance and hesitancy situation in Japan and assess the factors associated with such issues. This was a cross-sectional study based on an internet survey completed by 2956 people. Participants were asked to indicate how likely they were to get vaccinated for COVID-19. In addition, the participants responded to questions regarding sociodemographic factors, attitudes, and beliefs regarding COVID-19 infection and vaccination. The proportion of participants with a high likelihood of getting a COVID-19 vaccine was 62.1%. Multiple logistic regression analysis showed that vaccine acceptance was lower among several sociodemographic groups, such as women, adults aged 20–49 years, and those with a low-income level. Several psychological factors, especially the perceived effectiveness of the COVID-19 vaccine, and willingness to protect others by getting oneself vaccinated, were associated with vaccine acceptance. Our results indicate that the perceived effectiveness of the vaccine and willingness to protect others may play an important role in the acceptance of the COVID-19 vaccine.

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“…Many-sometimes contradicting-prediction models offered temporal, and locally isolated results based on local outbreaks 16–18,21,22 , while each country implemented their strategy to combat the outbreak, including controversial approaches such as “herd immunity” 23–25 . At the same time, different forms of local lockdowns have been tested to successfully mitigate viral spread as non-pharmaceutical interventions (NPIs) 22,26–28 . While previous studies offer extremely valuable insights into the history of viral transmission and the effectiveness of locally implemented NPIs, they tend to overlook the inland spread (migration) of the virus in order to provide a unified mitigation strategy that complements local implementations.…”

Section: Introductionmentioning

confidence: 99%

Genetic determination of regional connectivity in modelling the spread of COVID-19 outbreak for improved mitigation strategies

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Warrell

Cevasco

et al. 2021

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Covid-19 has resulted in the death of more than 1,500,000 individuals. Due to the pandemic’s severity, thousands of genomes have been sequenced and publicly stored with extensive records, an unprecedented amount of data for an outbreak in a single year. Simultaneously, prediction models offered region-specific and often contradicting results, while states or countries implemented mitigation strategies with little information on success, precision, or agreement with neighboring regions. Even though viral transmissions have been already documented in a historical and geographical context, few studies aimed to model geographic and temporal flow from viral sequence information. Here, using a case study of 7 states, we model the flow of the Covid-19 outbreak with respect to phylogenetic information, viral migration, inter- and intra- regional connectivity, epidemiologic and demographic characteristics. By assessing regional connectivity from genomic variants, we can significantly improve predictions in modeling the viral spread and intensity.Contrary to previous results, our study shows that the vast majority of the first outbreak can be traced to very few lineages, despite the existence of multiple worldwide transmissions. Moreover, our results show that while the distance from hotspots is initially important, connectivity becomes increasingly significant as the virus establishes itself. Similarly, isolated local strategies-such as relying on herd immunity-can negatively impact neighboring states. Our work suggests that we can achieve more efficient unified mitigation strategies with selective interventions.

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Improved strategies to counter the COVID-19 pandemic: Lockdowns vs. primary and community healthcare

Cited by 103 publications

References 71 publications

COVID-19 pandemic and alcohol consumption: Impacts and interconnections

COVID-19 pandemic and alcohol consumption: Impacts and interconnections

Acceptance of a COVID-19 Vaccine in Japan during the COVID-19 Pandemic

Genetic determination of regional connectivity in modelling the spread of COVID-19 outbreak for improved mitigation strategies

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