COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10)

Lazarus, Jeffrey V.; Ratzan, Scott C.; Palayew, Adam; Billari, Francesco C.; Binagwaho, Agnès; Kimball, Spencer; Larson, Heidi; Melegaro, Alessia; Rabin, Kenneth; White, Trenton M; El-Mohandes, Ayman

doi:10.1371/journal.pone.0240011

Cited by 184 publications

(200 citation statements)

References 38 publications

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“…It is remarkable that overall the variables being affected in terms of mental health-a factor that can enhance threat appraisal, vulnerability-and the feeling of being well informed-a factor that can enhance efficacy-belonged to the most frequent predictors of both outcomes across countries [22]. These results that are in line with other recently published findings from cross-national research [56] emphasize the urgent importance of competent information by governments and authorities. They also underline the need for further investments in mental health services, including low-threshold programs-not only to support those already affected and to prevent a future increase in mental disorders, but especially with regard to COVID-19, to improve adherence to behavioral interventions to control the pandemic.…”

Section: Discussionsupporting

confidence: 82%

“…This can reduce the feeling of being left alone during the pandemic. Overall, it can enhance the trust in and the satisfaction with the governmental actions which both are important predictors of adherence to the measures [41,56].…”

Section: Discussionmentioning

confidence: 99%

“…personality traits such as sensationalism [70], self-esteem [71], fear [19], seas of control [16], and past experience with extraordinary situations [72]. Moreover, future studies are recommended to use a recently developed ten-item instrument COVID-SCORE-10 that assesses the individual evaluation of the governmental communication and actions towards COVID-19 [56]. This instrument that was published after our data collection can contribute to further prediction of the population adherence to the anti-COVID-19 measures and thus complement our present findings.…”

Section: Discussionmentioning

confidence: 99%

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Behavioral measures to fight COVID-19: An 8-country study of perceived usefulness, adherence and their predictors

2020

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Behavioral measures, such as the wearing of facemasks and maintaining of distance to other people, have been central in fighting the COVID-19 pandemic and will continue to be important in curbing its spread. We therefore investigated their perceived usefulness, adherence and their predictors in representative online samples in eight countries (France, Germany, Poland, Russia, Spain, Sweden, U.K., U.S.). Of the 7,658 participants, 77.4% rated governmental measures (highest: Germany, lowest: France) as useful and 91.7% reported adherence to them. Adherence was lowest in Russia and Poland, where people felt particularly left alone and not well supported, and in the U.S. and Sweden, where governments showed ambivalent attitudes towards the measures. The highest adherence was reported in countries with very high mortality (U.K., Spain, France) or very positively perceived government communication (Germany). Female gender, higher age, belonging to a risk group, being affected physically and mentally, perception of governmental communication as guided by the interests of people, feeling of being well informed and the level of positive mental health positively predicted both outcomes, while being affected economically negatively predicted both outcomes. Country-specific results are considered in the light of the protection motivation theory and the theory of planned behavior together with potential ways to improve active participation of the population. Overall, we recommend the governments and authorities to stress that each individual can contribute to the control of the COVID-19 situation by adherence to the measures in the public communication. Moreover, they should emphasize the risk of unconscious infection of older individuals by younger people, as well as the importance of physical activity for the protection of mental and physical health especially during the pandemic.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Behavioral measures to fight COVID-19: An 8-country study of perceived usefulness, adherence and their predictors

2020

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“…But with the rapid increase in confirmed COVID-19 cases globally, the COVID-19 epidemic shows no signs of slowing down. It is essential to support global cooperation and concerted prevention and control of COVID-19 ( Lazarus et al, 2020 ). Therefore, it has become an urgent scientific issue to grasp the temporal and spatial changes of COVID-19 transmission and clarify its driving mechanism.…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial analysis of COVID-19 transmission in China and its influencing factors

Wang¹,

Dong²,

Yang³

et al. 2021

International Journal of Infectious Diseases

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Objectives The purpose of this study was to explore the temporal and spatial characteristics of COVID-19 transmission and its influencing factors in China from January to October 2020. Methods About 81,000 COVID-19 confirmed case data, Baidu migration index data, air pollutants, meteorological data, and government response strictness index data were collected from 31 provincial-level regions (excluding Hong Kong, Macao, and Taiwan) and 337 prefecture-level cities. The spatio-temporal characteristics of COVID-19 were explored using spatial autocorrelation, hot spot, and spatio-temporal scanning statistics. At the same time, Spearman rank correlation analysis and multiple linear regression were used to explore the relationship between influencing factors and confirmed COVID-19 cases. Results The distribution of COVID-19 in China tends to be stable over time, with spatial correlation and obvious clustering regions. spatio-temporal scanning analysis showed that most COVID-19 high incidence months were from January to March at the beginning of the epidemic, and the area with the highest aggregation risk was Hubei Province (RR = 491.57), which was 491.57 times the aggregation risk of other regions. Among the meteorological variables, the daily average temperature, wind speed, precipitation, and new COVID-19 cases were negatively correlated. The air pollution concentration and migration index were positively correlated with new confirmed cases, and the government response strict index was strongly negatively correlated with confirmed COVID-19 cases. Conclusions Environmental temperature has a certain inhibitory effect on the transmission of COVID-19, and the air pollution concentration and migration index have a certain promoting effect on the transmission of COVID-19. The strict government response index indicates that the greater the intensity of government intervention, the fewer COVID-19 cases will occur.

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“…However, the use of conceptual frameworks is essential for research into public health interventions [21]. In addition, the methodological challenges of such a survey in Africa are signi cant [22,23], as there is no national sampling frame and the many web-based surveys of knowledge about the disease [17] or government responses [24] continent have signi cant methodological limitations.…”

Section: Introductionmentioning

confidence: 99%

Acceptability of Government Measures Against Covid-19 Pandemic in Senegal: a Mixed Methods Study

Ridde

Kane²,

Gaye³

et al. 2020

Preprint

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Background: While the first case of COVID-19 was declared on March 2 2020 in Senegal, the government banned the attendance of places of worship on 14 March. On March 23, it introduced a curfew, a ban on movement between regions, and the closure of markets. These measures were lifted in May and June 2020. The objective of this study is to measure and understand the acceptability of these four governmental measures as well as the level of public trust in the state to fight the pandemic. Methods: We carried out a mixed-method research with an explanatory sequential estimate. The acceptability variables were defined using the theoretical framework of acceptability (TFA). At the quantitative level, we carried out a telephone survey (June/July 2020) at the national level (n=813) with a sampling strategy by marginal quotas. To understand these results, we conducted a qualitative survey (August/September 2020) with a nested sample (n=30). Results: The results show a relatively high acceptability of the measures but a heterogeneity of responses. People considered curfews to be much more important (85.7% [83.2%; 88.0%]) than the closure of places of worship (55.4%; [51.9%; 58.7%]), which is least in line with the values and positive affective attitude. With the lifting of certain measures, respondents questioned the consistency of the decisions. Several positive unintended effects of the curfew were stated (security and social/family cohesion). People over the age of 60 have more confidence in the government to fight the pandemic than people under the age of 25 (7.72 ± 3.12 vs. 7.07 ± 3.11, p = 0.1); and they are more in favour of the closure of places of worship. Men have less confidence in the government than women (6.84 ± 3.21 vs. 7.47 ± 3.05; p = 0.001). The more regions are affected by the pandemic, the less confidence respondents report in the government and the less they perceive the measures as effective.Conclusions: The results confirm the importance of government communication and trust in the state to strengthen the acceptability of pandemic measures. Important differences in acceptability show the need to adapt measures and their explanations, instead of unqualified universal action.

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COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10)

Cited by 184 publications

References 38 publications

Behavioral measures to fight COVID-19: An 8-country study of perceived usefulness, adherence and their predictors

Behavioral measures to fight COVID-19: An 8-country study of perceived usefulness, adherence and their predictors

Temporal and spatial analysis of COVID-19 transmission in China and its influencing factors

Acceptability of Government Measures Against Covid-19 Pandemic in Senegal: a Mixed Methods Study

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