Emotional determinants of public responses to the risk of epidemics and pandemics: a systematic review

2021 ◽  
Author(s):  
Antonis A. Kousoulis ◽  
Mark R. Francis ◽  
Imogen Grant ◽  
Heidi J Larson
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Systematic Review ◽  
Public Health Intervention ◽  
Disease Outbreaks ◽  
Population Level ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Infectious Disease Outbreaks ◽  
Intervention Uptake

Abstract Background Understanding how people’s emotions influence their health decisions and behaviours at a population level is fundamental to designing effective communication strategies and public health interventions for infectious disease outbreaks. This review identifies relevant research to assess the role of emotional determinants and their impact on public responses to the risk of infectious disease outbreaks, specifically in relation to the uptake of public health interventions. Methods A comprehensive systematic review was conducted exploring the differences in public responses by emotion, infection, outcome and region. A basic consensus approach was followed in which emotional stimuli were categorised as being either pleasant or unpleasant, and predisposing people to bivalent behaviour (i.e., approach or withdrawal). All primary research studies published in five global databases between 1988-2019 were eligible for inclusion. Binomial tests (against a test proportion of 0.5 or 50% for each study outcome) were performed using the direction of effect observed in each study, i.e., either favouring or not favouring intervention uptake. Results A total of 75 studies from 28 different nations were eligible for inclusion in the review. A total of 97 correlations were made between 12 emotions, 10 infectious diseases, and the uptake of seven types of public health interventions. Unpleasant emotions were evoked much more often than pleasant following public health risk communications, with fear and anxiety being the most common. Overall, moderate anxiety-related emotions (worry, anxiety, stress, concern) seemed to be much more significant motivators for public action compared to extreme unpleasant emotions (fear, panic, hopelessness, shame), which had a statistically significantly negative effect on the uptake of public health interventions in several cases. Pleasant emotions (empathy, hope) also showed promise as motivators for public health intervention uptake, but more research is needed to corroborate this. Conclusions The results of this review show that the public’s emotional responses to epidemics in the past 30 years have played a clear role in determining how successful the rollout of public health interventions has been. Emotions need to be considered in crisis communications, and these research findings can help inform communications strategies in the evolving context of the COVID-19 pandemic and future infectious disease outbreaks.

scholarly journals If long-term suppression is not possible, how do we minimize mortality for COVID-19 and other emerging infectious disease outbreaks?

2020 ◽  
Author(s):  
Andreas Handel ◽  
Joel C. Miller ◽  
Yang Ge ◽  
Isaac Chun-Hai Fung
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Health Care ◽  
Health Care System ◽  
Disease Outbreaks ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Infectious Disease Outbreaks ◽  
Long Time

As COVID-19 continues to spread, public health interventions are crucial to minimize its impact. The most desirable goal is to drive the pathogen quickly to extinction. This generally involves applying interventions as strongly as possible, which worked for SARS, but so far has failed for COVID-19. If fast eradication is not achievable, the next best goal is to delay the spread and minimize cases and burden on the health care system until suitable drugs or vaccines are available. This suppression approach also calls for strong interventions, potentially applied for a long time.

scholarly journals A case study of the evaluation of a public health intervention

2006 ◽  
Vol 30 (4) ◽  
pp. 458 ◽  
Author(s):  
Bradley Forssman ◽  
Leena Gupta ◽  
Graham Burgess
Keyword(s):  
Public Health ◽  
Public Health Intervention ◽  
Disease Outbreaks ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Public Health Action ◽  
Infectious Disease Outbreaks ◽  
Evaluation Approach ◽  
South Wales ◽  
Health Action

Large public health interventions to control infectious disease outbreaks are common, but rigorous evaluation to improve the quality and effectiveness of these is rarely undertaken. Following a large community-based clinic to prevent a hepatitis A outbreak, a multifaceted and multidisciplinary evaluation was conducted involving consumers, health professionals and industry partners. The results of this evaluation were used to produce practical operational guidelines for the planning and conduct of future interventions. These guidelines have been distributed to all public health units in New South Wales and may be included in the next edition of the NSW Health notifiable diseases manual. The evaluation approach can be applied to all public health interventions across NSW and Australia to assist in the development of operational guidelines, in order to increase the quality of public health action in outbreak prevention.

Use and effectiveness of mHealth technologies in tracking the spread of infectious disease outbreaks and their implications for the COVID-19 pandemic: a systematic review protocol (Preprint)

2020 ◽  
Author(s):  
Madison Milne-Ives ◽  
Simon Rowland ◽  
Alison McGregor ◽  
J Edward Fitzgerald ◽  
Edward Meinert
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Systematic Review ◽  
Public Health Practice ◽  
Disease Outbreaks ◽  
Digital Technologies ◽  
World Health ◽  
Health Practice ◽  
Public Health Response ◽  
Infectious Disease Outbreaks

BACKGROUND The World Health Organisation (WHO) defines mHealth as medical and public health practice supported by mobile devices. A number of mHealth devices, primarily apps designed to support contact tracing, have been utilised as part of the public health response to the Covid-19 pandemic. The value of mHealth devices in augmenting public health practice is however yet to be defined. OBJECTIVE The study aims to address three research questions: (1) What digital technologies are being used to track the symptoms and spread of infectious disease outbreaks and what strategies do they use to do so? (2) How effective and cost-effective are digital technologies at tracking the spread of infectious disease outbreaks and what are their strengths and limitations? (3) What are the user perspectives on the usability and effectiveness of these technologies? METHODS The PICOS template and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) will be followed for this systematic review. The review will be composed of a literature search, article selection, data extraction, quality appraisal, data analysis, and a discussion of the implications of the data for the current COVID-19 pandemic. RESULTS N/A CONCLUSIONS This systematic review will summarise the available evidence for use of mHealth devices for tracking the spread of infectious disease outbreaks. These results are potentially valuable for informing public health policy during infectious disease outbreaks such as the current Covid-19 pandemic.

scholarly journals Accessibility and Acceptability of Infectious Disease Interventions Among Migrants in the EU/EEA: A CERQual Systematic Review

2018 ◽  
Vol 15 (11) ◽  
pp. 2329 ◽  
Author(s):  
Matt Driedger ◽  
Alain Mayhew ◽  
Vivian Welch ◽  
Eric Agbata ◽  
Doug Gruner ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Systematic Review ◽  
Health Beliefs ◽  
Health Interventions ◽  
Health Practitioner ◽  
Framework Analysis ◽  
Public Health Interventions ◽  
Practitioner Education ◽  
The Eu

In the EU/EEA, subgroups of international migrants have an increased prevalence of certain infectious diseases. The objective of this study was to examine migrants’ acceptability, value placed on outcomes, and accessibility of infectious disease interventions. We conducted a systematic review of qualitative reviews adhering to the PRISMA reporting guidelines. We searched MEDLINE, EMBASE, CINAHL, DARE, and CDSR, and assessed review quality using AMSTAR. We conducted a framework analysis based on the Health Beliefs Model, which was used to organize our preliminary findings with respect to the beliefs that underlie preventive health behavior, including knowledge of risk factors, perceived susceptibility, severity and barriers, and cues to action. We assessed confidence in findings using an adapted GRADE CERQual tool. We included 11 qualitative systematic reviews from 2111 articles. In these studies, migrants report several facilitators to public health interventions. Acceptability depended on migrants’ relationship with healthcare practitioners, knowledge of the disease, and degree of disease-related stigma. Facilitators to public health interventions relevant for migrant populations may provide clues for implementation. Trust, cultural sensitivity, and communication skills also have implications for linkage to care and public health practitioner education. Recommendations from practitioners continue to play a key role in the acceptance of infectious disease interventions.

scholarly journals Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review

2021 ◽  
Vol 18 (9) ◽  
pp. 4499
Author(s):  
Anil Babu Payedimarri ◽  
Diego Concina ◽  
Luigi Portinale ◽  
Massimo Canonico ◽  
Deborah Seys ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Systematic Review ◽  
Public Transportation ◽  
Prediction Models ◽  
Positive Impact ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Commercial Activities

Artificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological curve. This systematic review aims to evaluate the effectiveness of the use of AI and ML when applied to public health interventions to contain the spread of SARS-CoV-2. Our findings showed that quarantine should be the best strategy for containing COVID-19. Nationwide lockdown also showed positive impact, whereas social distancing should be considered to be effective only in combination with other interventions including the closure of schools and commercial activities and the limitation of public transportation. Our findings also showed that all the interventions should be initiated early in the pandemic and continued for a sustained period. Despite the study limitation, we concluded that AI and ML could be of help for policy makers to define the strategies for containing the COVID-19 pandemic.

scholarly journals Leveraging Rich Data and Machine Learning to Facilitate Policy Making on Public Health Interventions in Fighting to Contain the COVID-19 Pandemic

2020 ◽  
Author(s):  
Robin Qiu
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Public Health Intervention ◽  
Research Direction ◽  
Health Interventions ◽  
Mitigation Measures ◽  
Public Health Interventions ◽  
Short Article ◽  
The World ◽  
Rich Data

<p>This is a short article, focusing on promoting more study on SEIR modeling by leveraging rich data and machine learning. We believe that this is extremely critical as many regions at the country or state/provincial levels have been struggling with their public health intervention policies on fighting the COVID-19 pandemic. Some recent published papers on mitigation measures show promising SEIR modeling results, which could shred the light for other policymakers at different community levels. We present our perspective on this research direction. Hopefully, we can stimulate more studies and help the world win this “war” against the invisible enemy “coronavirus” sooner rather than later. </p>

scholarly journals The Impact of Organisational Characteristics of Staff and Facility on Infectious Disease Outbreaks in Care Homes: a Systematic Review

2021 ◽  
Author(s):  
Ann Liljas ◽  
Lenke Morath ◽  
Bo Burström ◽  
Pär Schön ◽  
Janne Agerholm
Keyword(s):  
Infectious Disease ◽  
Systematic Review ◽  
Older People ◽  
Disease Outbreaks ◽  
Care Homes ◽  
Facility Design ◽  
Infectious Disease Outbreaks ◽  
Facility Size ◽  
The Impact ◽  
Nurse Aides

Abstract Background: Infectious disease outbreaks are common in care homes, often with substantial impact on the rates of infection and mortality of the residents, who primarily are older people vulnerable to infections. There is growing evidence that organisational characteristics of staff and facility might play a role in infection outbreaks however such evidence have not previously been systematically reviewed. Therefore, this systematic review aims to examine the impact of facility and staff characteristics on the risk of infectious disease outbreaks in care homes.Methods: Five databases were searched. Studies considered for inclusion were of any design reporting on an outbreak of any infectious disease in one or more care homes providing care for primarily older people with original data on: facility size, facility location (urban/rural), facility design, use of temporary hired staff, staff compartmentalizing, residence of staff, and/or nursing aides hours per resident. Retrieved studies were screened, assessed for quality, and analysed employing a narrative synthesis.Results: Sixteen studies (8 cohort studies, 6 cross-sectional studies, 2 case-control) were included from the search which generated 10,424 unique records. COVID-19 was the most commonly reported cause of outbreak (n=11). The other studies focused on influenza, respiratory and gastrointestinal outbreaks. Most studies reported on the impact of facility size (n=11) followed by facility design (n=4), use of temporary hired staff (n=3), facility location (n=2), staff compartmentalizing (n=2), nurse aides hours (n=2) and residence of staff (n=1). Findings suggest that urban location and larger facility size may be associated with greater risks of an infectious outbreak. Additionally, the risk of a larger outbreak seems lower in larger facilities. Whilst staff compartmentalizing may be associated with lower risk of an outbreak, staff residing in highly infected areas may be associated with greater risk of outbreak. The influence of facility design, use of temporary staff, and nurse aides hours remains unclear.Conclusions: This systematic review suggests that larger facilities have greater risks of infectious outbreaks, yet the risk of a larger outbreak seems lower in larger facilities. Due to lack of robust findings the impact of facility and staff characteristics on infectious outbreaks remain largely unknown.PROSPERO: CRD42020213585

scholarly journals What makes health systems resilient against infectious disease outbreaks and natural hazards? Results from a scoping review

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jennifer B. Nuzzo ◽  
Diane Meyer ◽  
Michael Snyder ◽  
Sanjana J. Ravi ◽  
Ana Lapascu ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Health System ◽  
Natural Hazards ◽  
Health Systems ◽  
Scoping Review ◽  
Disease Outbreaks ◽  
World Health ◽  
Infectious Disease Outbreaks ◽  
System Resilience

Abstract Background The 2014–2016 Ebola outbreak was a wake-up call regarding the critical importance of resilient health systems. Fragile health systems can become overwhelmed during public health crises, further exacerbating the human, economic, and political toll. Important work has been done to describe the general attributes of a health system resilient to these crises, and the next step will be to identify the specific capacities that health systems need to develop and maintain to achieve resiliency. Methods We conducted a scoping review of the literature to identify recurring themes and capacities needed for health system resiliency to infectious disease outbreaks and natural hazards and any existing implementation frameworks that highlight these capacities. We also sought to identify the overlap of the identified themes and capacities with those highlighted in the World Health Organization’s Joint External Evaluation. Sources of evidence included PubMed, Web of Science, OAIster, and the websites of relevant major public health organizations. Results We identified 16 themes of health system resilience, including: the need to develop plans for altered standards of care during emergencies, the need to develop plans for post-event recovery, and a commitment to quality improvement. Most of the literature described the general attributes of a resilient health system; no implementation frameworks were identified that could translate these elements into specific capacities that health system actors can employ to improve resilience to outbreaks and natural hazards in a variety of settings. Conclusions An implementation-oriented health system resilience framework could help translate the important components of a health system identified in this review into specific capacities that actors in the health system could work to develop to improve resilience to public health crises. However, there remains a need to further refine the concept of resilience so that health systems can simultaneously achieve sustainable transformations in healthcare practice and health service delivery as well as improve their preparedness for emergencies.

scholarly journals Ethics of instantaneous contact tracing using mobile phone apps in the control of the COVID-19 pandemic

2020 ◽  
Vol 46 (7) ◽  
pp. 427-431 ◽  
Author(s):  
Michael J Parker ◽  
Christophe Fraser ◽  
Lucie Abeler-Dörner ◽  
David Bonsall
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Mobile Phone ◽  
Public Health Practice ◽  
Disease Outbreaks ◽  
Contact Tracing ◽  
Mobile Phone Data ◽  
Public Health Response ◽  
Infectious Disease Outbreaks ◽  
Ethical Implications

In this paper we discuss ethical implications of the use of mobile phone apps in the control of the COVID-19 pandemic. Contact tracing is a well-established feature of public health practice during infectious disease outbreaks and epidemics. However, the high proportion of pre-symptomatic transmission in COVID-19 means that standard contact tracing methods are too slow to stop the progression of infection through the population. To address this problem, many countries around the world have deployed or are developing mobile phone apps capable of supporting instantaneous contact tracing. Informed by the on-going mapping of ‘proximity events’ these apps are intended both to inform public health policy and to provide alerts to individuals who have been in contact with a person with the infection. The proposed use of mobile phone data for ‘intelligent physical distancing’ in such contexts raises a number of important ethical questions. In our paper, we outline some ethical considerations that need to be addressed in any deployment of this kind of approach as part of a multidimensional public health response. We also, briefly, explore the implications for its use in future infectious disease outbreaks.

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