Probing into the effectiveness of self-isolation policies in epidemic control

Crokidakis, Nuno; Queirós, Sı́lvio M. Duarte

doi:10.1088/1742-5468/2012/06/p06003

Cited by 17 publications

(15 citation statements)

References 46 publications

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“…Table 4 shows the crude and adjusted models for the multiple regressions of changes in the willingness to self-isolate when facing a large-scale infectious disease according to changes in PBC, ATT, and SN. The adjusted R 2 of the benchmark model is lower than that of models (2)-(4), which means that those models are more appropriate than model (1) and that PBC, ATT, and SN are important factors of SI. Overall, respondents with a higher education level had a higher willingness to self-isolate when facing a pandemic.…”

Section: Influencing Factors Of Simentioning

confidence: 86%

“…In particular, ATT, SN, and PBC were positively related to SI. We first regressed on SI with the control variables as a benchmark model (1). Then, we added PBC, ATT, and SN sequentially to the model.…”

Section: Influencing Factors Of Simentioning

confidence: 99%

“…Alongside wars and natural disasters, plagues and epidemic (pandemic) diseases have had the highest death tolls in human history [1]. The WHO reported that the next influenza pandemic "is a matter of when, not if" [2], and the world must prepare for the next inevitable flu pandemic.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations

Zhang

Wang

Zhu

et al. 2019

IJERPH

101

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Infected people are isolated to minimize the spread of pandemic diseases. Therefore, the factors related to self-isolation (SI) should not be neglected, and it is important to investigate the factors leading the infected (or possibly infected) people to choose to self-isolate. In this paper, we tried to show that the theory of planned behavior provides a useful conceptual framework for SI when facing a pandemic risk, and a regression method with Chinese provincial (Guangdong Province) data was applied to investigate how attitude (ATT), subjective norms (SN), and perceived behavioral control (PBC) influence SI when facing a pandemic emergency. The results and the robustness tests confirm that ATT, SN, and PBC have a significant positive influence on SI when facing a pandemic emergency. ATT plays the most important role, followed by SN and then PBC. Based on the factors of SI, we found, through theoretical and empirical analyses, at least three important aspects that local governments need to consider to encourage citizens to self-isolate when facing a pandemic.

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Section: Influencing Factors Of Simentioning

confidence: 86%

Section: Influencing Factors Of Simentioning

confidence: 99%

See 1 more Smart Citation

Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations

Zhang

Wang

Zhu

et al. 2019

IJERPH

101

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“…With the increase of α, the epidemic prevalence reduces sharply versus r and the continuous transition could be observed. By the way, it will change to a total isolation of infected individuals for r = 1, which seems to be the most effective way in controlling the contagion [40,41].…”

Section: Resultsmentioning

confidence: 99%

Epidemic dynamics on information-driven adaptive networks

Zhan

Liu

Sun

et al. 2018

Chaos, Solitons & Fractals

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a b s t r a c tResearch on the interplay between the dynamics on the network and the dynamics of the network has attracted much attention in recent years. In this work, we propose an information-driven adaptive model, where disease and disease information can evolve simultaneously. For the information-driven adaptive process, susceptible (infected) individuals who have abilities to recognize the disease would break the links of their infected (susceptible) neighbors to prevent the epidemic from further spreading. Simulation results and numerical analyses based on the pairwise approach indicate that the information-driven adaptive process can not only slow down the speed of epidemic spreading, but can also diminish the epidemic prevalence at the final state significantly. In addition, the disease spreading and information diffusion pattern on the lattice as well as on a real-world network give visual representations about how the disease is trapped into an isolated field with the information-driven adaptive process. Furthermore, we perform the local bifurcation analysis on four types of dynamical regions, including healthy, a continuous dynamic behavior, bistable and endemic, to understand the evolution of the observed dynamical behaviors. This work may shed some lights on understanding how information affects human activities on responding to epidemic spreading.

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“…Comparisons of the intersecting points (fV c, fR) of the curves for x = 1.0 and 0.02 predicted by Eqs. (27), (22), and (24) with those obtained from direct stochastic simulations, with different values of . = 0.05 = 0.1 = 0.2 = 0.3 0.470, 0.237(6) a 0.477, 0.228(5) 0.482, 0.210(2) 0.507, 0.175(5) 0.473, 0.235(7) b 0.478, 0.227 (7) 0.491, 0.206(4) 0.512, 0.171 (5) a Results of (f V c , f R ) obtained from stochastic simulations.…”

Section: Appendix Bmentioning

confidence: 99%

Behavior of susceptible-vaccinated–infected–recovered epidemics with diversity in the infection rate of individuals

Cai

Guan

2013

Phys. Rev. E

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We study a susceptible-vaccinated-infected-recovered (SVIR) epidemic-spreading model with diversity of infection rate of the individuals. By means of analytical arguments as well as extensive computer simulations, we demonstrate that the heterogeneity in infection rate can either impede or accelerate the epidemic spreading, which depends on the amount of vaccinated individuals introduced in the population as well as the contact pattern among the individuals. Remarkably, as long as the individuals with different capability of acquiring the disease interact with unequal frequency, there always exist a cross point for the fraction of vaccinated, below which the diversity of infection rate hinders the epidemic spreading and above which expedites it. The overall results are robust to the SVIR dynamics defined on different population models; the possible applications of the results are discussed.

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Probing into the effectiveness of self-isolation policies in epidemic control

Cited by 17 publications

References 46 publications

Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations

Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations

Epidemic dynamics on information-driven adaptive networks

Behavior of susceptible-vaccinated–infected–recovered epidemics with diversity in the infection rate of individuals

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