Can informal social distancing interventions minimize demand for antiviral treatment during a severe pandemic?

Greer, Amy L.

doi:10.1186/1471-2458-13-669

Cited by 8 publications

(8 citation statements)

References 57 publications

(46 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Avoidance behaviors, such as canceling or postponing social events, reducing the use of public transport, keeping children out of school, and avoiding crowded places due to fear of transmission frequently occur during pandemic outbreaks [34,39,40]. Individual avoidance behaviors that limit contact with others are forms of social distancing known as 'informal social distancing' [41]. Previous studies suggest that social distancing behaviors among large numbers of people within a population can damage daily lives, lead to adverse social implications, and even lead to greater risk [40,42].…”

Section: Introductionmentioning

confidence: 99%

Psychological and Behavioral Responses in South Korea During the Early Stages of Coronavirus Disease 2019 (COVID-19)

Lee

You

2020

IJERPH

285

316

View full text Add to dashboard Cite

Background: The psychological and behavioral responses during the early stage of Coronavirus disease 2019 in South Korea were investigated to guide the public as full and active participants of public health emergency preparedness (PHEP), which is essential to improving resilience and reducing the population's fundamental vulnerability. Methods: Data were collected through an online survey four weeks after the Korea Centers for Disease Control and Prevention (KCDC) confirmed the first case in South Korea; 973 subjects were included in the analysis. Results: Respondents' perceived risk of COVID-19 infection; the majority of respondents reported that their perceived chance of infection was "neither high nor low" (51.3%). The average perceived severity score was higher than perceived susceptibility; 48.6 % reported that the severity would be "high," while 19.9% reported "very high." Many respondents reported taking precautions, 67.8% reported always practicing hand hygiene, and 63.2% reported always wearing a facial mask when outside. Approximately 50% reported postponing or canceling social events, and 41.5% were avoiding crowded places. Practicing precautionary behaviors associated strongly with perceived risk and response efficacy of the behavior. Conclusions: Our study confirmed the significance of the psychological responses, which associated with behavioral responses and significantly influenced the public's level of public health emergency preparedness regarding the COVID-19 pandemic. This result has consequences not only for implementing public health strategies for the pandemic but also for understanding future emerging infectious diseases.

show abstract

Section: Introductionmentioning

confidence: 99%

Psychological and Behavioral Responses in South Korea During the Early Stages of Coronavirus Disease 2019 (COVID-19)

Lee

You

2020

IJERPH

285

316

View full text Add to dashboard Cite

show abstract

“…Several studies have used simulation to illustrate the potential public health benefits of avoidance behaviour [ 15 , 16 ]. Empirical efforts to quantify individuals' responses to infectious disease risk are often based on one-off surveys in the wake of the epidemic, but not coupled with epidemiological dynamics [ 17 – 20 ], or infer potential avoidance behaviour ex post from observed epidemic outcomes [ 21 – 23 ]. While these studies provide empirical insights into the role of avoidance behaviour during an epidemic, no study has quantified avoidance behaviour based on observable time-use data and coupled that behavioural shift with an epidemiological model to provide an empirical estimate of the public health consequences of avoidance behaviour.…”

Section: Introductionmentioning

confidence: 99%

Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic

et al. 2015

View full text Add to dashboard Cite

Managing infectious disease is among the foremost challenges for public health policy. Interpersonal contacts play a critical role in infectious disease transmission, and recent advances in epidemiological theory suggest a central role for adaptive human behaviour with respect to changing contact patterns. However, theoretical studies cannot answer the following question: are individual responses to disease of sufficient magnitude to shape epidemiological dynamics and infectious disease risk? We provide empirical evidence that Americans voluntarily reduced their time spent in public places during the 2009 A/H1N1 swine flu, and that these behavioural shifts were of a magnitude capable of reducing the total number of cases. We simulate 10 years of epidemics (2003–2012) based on mixing patterns derived from individual time-use data to show that the mixing patterns in 2009 yield the lowest number of total infections relative to if the epidemic had occurred in any of the other nine years. The World Health Organization and other public health bodies have emphasized an important role for ‘distancing’ or non-pharmaceutical interventions. Our empirical results suggest that neglect for voluntary avoidance behaviour in epidemic models may overestimate the public health benefits of public social distancing policies.

show abstract

“…3.8.1. Exogenous behaviour formation (16/178)We retrieved 16 papers[14,45,51,56,64,72,73,[83][84][85]97,98,103,111,170,187] describing BCMs in which there is no two-way interaction with a disease transmission model. Morin et al[84] provide an example of such a model by assessing the Information gathering.…”

mentioning

confidence: 99%

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Verelst

Willem

Beutels

2016

J. R. Soc. Interface.

326

311

View full text Add to dashboard Cite

We review behavioural change models (BCMs) for infectious disease transmission in humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our systematic search and selection yielded 178 papers covering the period 2010–2015. We observe an increasing trend in published BCMs, frequently coupled to (re)emergence events, and propose a categorization by distinguishing how information translates into preventive actions. Behaviour is usually captured by introducing information as a dynamic parameter (76/178) or by introducing an economic objective function, either with (26/178) or without (37/178) imitation. Approaches using information thresholds (29/178) and exogenous behaviour formation (16/178) are also popular. We further classify according to disease, prevention measure, transmission model (with 81/178 population, 6/178 metapopulation and 91/178 individual-level models) and the way prevention impacts transmission. We highlight the minority (15%) of studies that use any real-life data for parametrization or validation and note that BCMs increasingly use social media data and generally incorporate multiple sources of information (16/178), multiple types of information (17/178) or both (9/178). We conclude that individual-level models are increasingly used and useful to model behaviour changes. Despite recent advancements, we remain concerned that most models are purely theoretical and lack representative data and a validation process.

show abstract

Can informal social distancing interventions minimize demand for antiviral treatment during a severe pandemic?

Cited by 8 publications

References 57 publications

Psychological and Behavioral Responses in South Korea During the Early Stages of Coronavirus Disease 2019 (COVID-19)

Psychological and Behavioral Responses in South Korea During the Early Stages of Coronavirus Disease 2019 (COVID-19)

Measured voluntary avoidance behaviour during the 2009 A/H1N1 epidemic

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Contact Info

Product

Resources

About