From Isolation to Containment: Perceived Fear of Infectivity and Protective Behavioral Changes during the COVID-19 Vaccination Campaign

Kaim, Arielle; Siman‐Tov, Maya; Jaffe, Eli; Adini, Bruria

doi:10.3390/ijerph18126503

Cited by 17 publications

(13 citation statements)

References 57 publications

(81 reference statements)

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“…Indeed, one out of five respondents were willing to engage in these three measures after receiving the second dose of the vaccination compared to the behavior before the pandemic began. A plausible interpretation of these changes is that the application of these measures prevents the spread of COVID-19 [9][10][11][12]. In addition, the willingness to engage in the three main public health measures after receiving the second dose of the vaccination did not differ compared to the behaviors before receiving the first dose.…”

Section: Discussionmentioning

confidence: 95%

Changes in Behaviors and Attitudes in Response to COVID-19 Pandemic and Vaccination in Healthcare Workers and University Students in Italy

et al. 2021

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The objectives of the cross-sectional study were to measure how behaviors and attitudes about preventive measures toward COVID-19 changed over time among Italian vaccinated healthcare workers and university students, and the associated characteristics. The study was carried out between February and March 2021 in the city of Naples, Campania region, Southern Italy. The perceived personal risk of being infected by SARS-CoV-2 after the vaccination was significantly higher among males, in those having a higher perceived personal risk of being infected by SARS-CoV-2 before the vaccination, and in those who were more concerned about the efficacy of the vaccination. The fear of getting the disease as reason to have the COVID-19 vaccination was reported more frequently in younger participants, in those with at least one chronic medical condition, in those with a higher concern about the severity of COVID-19, in those with a higher level of trust in the information received, and in those who acquired information from scientific journals. Overall, 21.3% were willing to engage the three main public health measures (wearing a mask, careful hand washing, physical distancing) after receiving the second dose of the vaccination compared to the behavior before the pandemic began. This willingness was predicted by a higher level of trust in the information received and by a lower self-rated health status. Only 0.1% of participants were willing to engage all three measures after receiving the second dose of the vaccination compared to the behavior before receiving the first dose. These findings are useful in order to develop information strategies regarding vaccine safety and efficacy and the importance of public health measures against COVID-19.

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Section: Discussionmentioning

confidence: 95%

Changes in Behaviors and Attitudes in Response to COVID-19 Pandemic and Vaccination in Healthcare Workers and University Students in Italy

et al. 2021

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“…However, Kaim et al. (2021) ascertained that, in an Israeli sample in the context of COVID-19 vaccination, risk compensation behavior (e.g.…”

Section: Discussionmentioning

confidence: 99%

An examination and extension of the Peltzman effect during the Covid-19 pandemic

Henk

Rosing

Wolff

et al. 2023

Current Research in Ecological and Social Psychology

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“…In this article, our main goal is to investigate the impact of Covid‐19 cases based on population size and tourism factors in certain regions of Italy with visual data analysis. Kaim et al investigated the impact of Covid‐19 in Israel through a tool 50 . Study of Mirri et al explored the potential relationship between the daily distribution of PM2.5 air pollutants and the initial spread of Covid‐19 in New York 51 .…”

Section: Discussionmentioning

confidence: 99%

The effect of population and tourism factors on Covid‐19 cases in Italy: Visual data analysis and forecasting approach

Uğuz

Yağanoğlu

Ozyer

et al. 2021

Concurrency and Computation

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At the beginning of 2020, the new coronavirus disease (Covid-19), a deadly viral illness, is declared as a public health emergency situation by WHO. Consequently, it is accepted as pandemic that affected millions of people worldwide. Italy is one of the most affected countries by Covid-19 disease among the world. In this article, our main goal is to investigate the effect of intensity of Covid-19 cases based on the population size and tourism factors in certain regions of Italy by visual data analysis. The regions of Lombardia, Veneto, Campania, Emilia-Romagna, Piemonte are the top five regions covering 58.50% of the total Covid-19 cases diagnosed in Italy. It has been shown by visual data analysis that population and tourism factors play an important role in the spread of Covid-19 cases in these five regions. In addition, a prediction model was created using Bi-LSTM and ARIMA algorithms to forecast the number of Covid-19 cases occurring in these five regions in order to take early action. We can conclude that these northern regions have been affected mostly by Covid-19 and the distribution of the resident population and tourist flow factors affected the number of Covid-19 cases in Italy. K E Y W O R D S coronavirus, Covid-19, forecasting method, visual data analysis 1 INTRODUCTION A new coronavirus disease that can cause fatal effects on humans, much like the Middle East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS), emerged in late 2019. The symptoms of the disease first became evident in China in December 2019, and the disease was diagnosed worldwide as Covid-19 at the beginning of the January 2020. 1 According to the Covid-19 timeline drawn up by the World Health Organization (WHO) Covid-19, patients in China who were eventually diagnosed as having Covid-19 on December 31, 2019 showed symptoms similar tothose of pneumonia. The disease was then reported to be a new coronavirus disease. The WHO established its Incident Management Support Team to address the spread and impacts of the new coronavirus disease on January 1, 2020. On January 13, 2020, it was reported that the first Covid-19 case outside of China occurred in Thailand on January 8, 2020. In addition, as per official statements, the spread of the coronavirus disease was attributed to one patient who traveled to Wuhan, China and returned to Thailand. 2 The WHO's status report on January 30, 2020, revealed a total of 7.818 cases of Covid-19 worldwide, 82 of which were located in 18 countries outside China. 3 According to the WHO's case report of January 31, 2020, Covid-19 had spread to an additional country, taking the total to 19 countries outside China. 4 The country that reported these new Covid-19 cases was Italy. With the addition of Italy, the number of European countries that had reported Covid-19 cases rose to four. Reports of Covid-19 in Italy started with two people, who mentioned the city of Wuhan as being part of their travel histories. Marta et al. explained that these two cases, which were recorded in Rome, includ...

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From Isolation to Containment: Perceived Fear of Infectivity and Protective Behavioral Changes during the COVID-19 Vaccination Campaign

Cited by 17 publications

References 57 publications

Changes in Behaviors and Attitudes in Response to COVID-19 Pandemic and Vaccination in Healthcare Workers and University Students in Italy

Changes in Behaviors and Attitudes in Response to COVID-19 Pandemic and Vaccination in Healthcare Workers and University Students in Italy

An examination and extension of the Peltzman effect during the Covid-19 pandemic

The effect of population and tourism factors on Covid‐19 cases in Italy: Visual data analysis and forecasting approach

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