Hotel branding and COVID-19 managed isolation and quarantine (MIQ) facilities: consequences and lessons learnt

Purpose: This study aims to understand the consequences of the decision by some hotels during the COVID-19 pandemic to contract their accommodation to be used as managed isolation and quarantine (MIQ) facilities. Specifically, this study aims to understand the impact of this decision in terms of corporate brand image, brand loyalty, negative word of mouth (NWOM) and purchase intention. Design/methodology/approach: Data were collected through a quasi-experimental research design and was analysed through a t-test. Findings: This study hypothesises that the use of a hotel brand as a COVID-19 MIQ facility will be detrimental to its corporate brand image because of the expectation disconfirmation theory and attribution theory, thus reducing brand loyalty and increasing NWOM. The result supports the hypotheses. Research limitations/implications: This study does not factor in a time period for the observed effects. While the results indicate that hotels used for MIQ purposes have reduced corporate brand image, brand loyalty and purchase intention, this study does not establish the duration of the damage. Originality/value: This study provides insight into consumers' perceptions of hotel brands that served as COVID-19 MIQ facilities. The originality lies in the discovery that the decision by hoteliers to opt to use their facilities for COVID-19 MIQ facilities was detrimental to corporate brand image and brand loyalty. © 2023, Emerald Publishing Limited.

Telehealth Monitoring for Individuals Experiencing Homelessness During the Early COVID-19 Pandemic: An Innovative Clinical and Medical Education Model.

BACKGROUND: People experiencing homelessness (PEH) are recognized as members of a vulnerable population with significant health and social disparities. Due to the COVID-19 pandemic, these populations are at risk for increased morbidity and mortality. The Herbert Wertheim College of Medicine (HWCOM) of Florida International University (FIU) in collaboration with the Miami-Dade County Homeless Trust presents this case series based on the results of the Telemedicine Homeless Monitoring Project, launched in April 2020. METHODS: Utilizing a faculty-student educational model, medical students at FIU HWCOM called PEH patients residing in isolation hotels on a daily basis to monitor their symptoms using a COVID-19 risk assessment template. Thirty-one PEH patients were followed for the duration of 12 weeks between April 2020 and August 2020. A retrospective chart review was then conducted, and four exemplar patients were chosen, highlighting common themes. Variables in the risk assessment included demographics, comorbidities, past medical history, indications for isolation or quarantine, length of stay, clinical and social needs identified, and qualitative data regarding barriers or successes of the telehealth platform. RESULTS: Thirty-one patients, between the ages of 20 and 84 and with an average age of 50.74, were followed in the program. There were eight females and 23 males in the study. Four exemplar PEH patients were discussed, highlighting the common themes identified; the lack of basic necessities that PEH face, the burden of chronic medical illnesses, a lack of health literacy, the burden of mental illnesses, and the acute stress caused by COVID-19 itself. CONCLUSION: Our research identified numerous characteristics of the homeless population that providers should pay special attention to during the pandemic. The relationship between the Homeless Trust and FIU HWCOM provided medical students with an excellent learning opportunity by letting them participate in clinical care while under lockdown due to the COVID-19 outbreak. Based on the results of the study, we believe that models like this will be useful in the event of a future epidemic.

Planning and Implementation of COVID-19 Isolation and Quarantine Facilities in Hawaii: A Public Health Case Report.

In response to the second surge of COVID-19 cases in Hawaii in the fall of 2020, the Hawaii State Department of Health Behavioral Health Administration led and contracted a coalition of agencies to plan and implement an isolation and quarantine facility placement service that included food, testing, and transportation assistance for a state capitol and major urban center. The goal of the program was to provide safe isolation and quarantine options for individual residents at risk of not being able to comply with isolation and quarantine mandates. Drawing upon historical lived experiences in planning and implementing the system for isolation and quarantine facilities, this qualitative public health case study report applies the plan-do-study-act (PDSA) improvement model and framework to review and summarize the implementation of this system. This case study also offers lessons for a unique opportunity for collaboration led by a public behavioral health leadership that expands upon traditionally narrow infectious disease control, by developing a continuum of care that not only addresses immediate COVID-19 concerns but also longer-term supports and services including housing, access to mental health services, and other social services. This case study highlights the role of a state agency in building a coalition of agencies, including a public university, to respond to the pandemic. The case study also discusses how continuous learning was executed to improve delivery of care.

Mitigation Planning and Policies Informed by COVID-19 Modeling: A Framework and Case Study of the State of Hawaii.

In the face of great uncertainty and a global crisis from COVID-19, mathematical and epidemiologic COVID-19 models proliferated during the pandemic. Yet, many models were not created with the explicit audience of policymakers, the intention of informing specific scenarios, or explicit communication of assumptions, limitations, and complexities. This study presents a case study of the roles, uses, and approaches to COVID-19 modeling and forecasting in one state jurisdiction in the United States. Based on an account of the historical real-world events through lived experiences, we first examine the specific modeling considerations used to inform policy decisions. Then, we review the real-world policy use cases and key decisions that were informed by modeling during the pandemic including the role of modeling in informing planning for hospital capacity, isolation and quarantine facilities, and broad public communication. Key lessons are examined through the real-world application of modeling, noting the importance of locally tailored models, the role of a scientific and technical advisory group, and the challenges of communicating technical considerations to a public audience.

To isolate or not to isolate: the impact of changing behavior on COVID-19 transmission.

BACKGROUND: The COVID-19 pandemic has caused more than 25 million cases and 800 thousand deaths worldwide to date. In early days of the pandemic, neither vaccines nor therapeutic drugs were available for this novel coronavirus. All measures to prevent the spread of COVID-19 are thus based on reducing contact between infected and susceptible individuals. Most of these measures such as quarantine and self-isolation require voluntary compliance by the population. However, humans may act in their (perceived) self-interest only. METHODS: We construct a mathematical model of COVID-19 transmission with quarantine and hospitalization coupled with a dynamic game model of adaptive human behavior. Susceptible and infected individuals adopt various behavioral strategies based on perceived prevalence and burden of the disease and sensitivity to isolation measures, and they evolve their strategies using a social learning algorithm (imitation dynamics). RESULTS: This results in complex interplay between the epidemiological model, which affects success of different strategies, and the game-theoretic behavioral model, which in turn affects the spread of the disease. We found that the second wave of the pandemic, which has been observed in the US, can be attributed to rational behavior of susceptible individuals, and that multiple waves of the pandemic are possible if the rate of social learning of infected individuals is sufficiently high. CONCLUSIONS: To reduce the burden of the disease on the society, it is necessary to incentivize such altruistic behavior by infected individuals as voluntary self-isolation.

A Quantitative Estimate of the Expected Shortening of the Median Isolation Period of Patients With COVID-19 After the Adoption of a Symptom-Based Strategy.

A long period of isolation was observed in patients hospitalized for COVID-19 in Milan over March-September 2020 (45; IQR: 37-54 days). A significantly shorter period would have been observed by the application of May-WHO (22, IQR: 17-30 days, P < 0.001) and October-Italian (26, IQR: 21-34 days, P < 0.001) Guidelines. The adoption of the new symptom-based criteria is likely to lead to a significant reduction in the length of the isolation period with potential social, economic and psychological benefits, particularly in the younger population with mild/moderate disease and no comorbidities. In our opinion, the release from isolation after 21 days from symptoms onset, even without a PCR diagnostic test, in most cases seems the most adequate strategy that could balance precautions to prevent SARS CoV-2 transmission and unnecessary prolonged isolation or overuse of diagnostic testing.

From leisure to isolation: a call to explore hotel sectors' role during COVID-19 pandemic.

In a recent correspondence, authors discussed the role of private companies in fulfilling their corporate social responsibility (CSR) by coming up with their own vaccination program for their employees during the COVID-19 pandemic. This paper supports the invitation for companies to act in accordance with their CSR and by emphasizing the various roles of companies just like what selected hotels do as isolation and quarantine facilities during the pandemic. However, certain considerations and issues must also be addressed by hotel sectors in accomplishing their CSR especially in time of public health crisis.

Managing the risk of a COVID-19 outbreak from border arrivals.

In an attempt to maintain the elimination of COVID-19 in New Zealand, all international arrivals are required to spend 14 days in government-managed quarantine and to return a negative test result before being released. We model the testing, isolation and transmission of COVID-19 within quarantine facilities to estimate the risk of community outbreaks being seeded at the border. We use a simple branching process model for COVID-19 transmission that includes a time-dependent probability of a false-negative test result. We show that the combination of 14-day quarantine with two tests is highly effective in preventing an infectious case entering the community, provided there is no transmission within quarantine facilities. Shorter quarantine periods, or reliance on testing only with no quarantine, substantially increases the risk of an infectious case being released. We calculate the fraction of cases detected in the second week of their two-week stay and show that this may be a useful indicator of the likelihood of transmission occurring within quarantine facilities. Frontline staff working at the border risk exposure to infected individuals and this has the potential to lead to a community outbreak. We use the model to test surveillance strategies and evaluate the likely size of the outbreak at the time it is first detected. We conclude with some recommendations for managing the risk of potential future outbreaks originating from the border.

COVID-19 health system response monitor, Thailand

The COVID-19 Health System Response Monitor presents findings from a systematic approach to collect and synthesize up-to-date information on Singapore’s policy response to the COVID-19 outbreak. This publication is part of the APO’s COVID-19 HSRM series which presents detailed information on country-specific responses to COVID-19, to facilitate easy comparisons of health systems and public health, and policy responses to COVID-19. It also aims to strengthen evidence on the global response to the pandemic and allow for easy comparison of activities at national and sub-national levels. The series is updated to reflect changes in the health systems and policies to the COVID-19 response.

Epidemiological and Clinical Features of SARS-CoV-2: A Retrospective Study from East Karachi, Pakistan.

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to almost every country on the globe, and each country is reporting the symptomatic presentation of their patients to give better insight into the various clinical presentations of SARS-CoV-2. However, the epidemiological literature from Pakistan is scanty. Methods We retrospectively analyzed data from 412 patients who were residents of East Karachi and tested positive for SARS-CoV-2 between February 26 to April 24, 2020. Patients' demographics, symptoms, travel and contact history, and outcomes were recorded. All statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 22 (IBM SPSS Statistics for Windows, IBM Corp, Armonk, NY). Results Most of the patients were male (64.6%), the majority (43.3%) belonging to the 21- to 40-year age group. Most of the patients (65.5%) were residents of Gulshan Iqbal. A total of 15.8% of the patients were admitted to the hospital, and 3.9% of patients expired. The three most common presenting symptoms were fever (74.8%), cough (60.4%), and flu (35.5%). The majority of patients (89.3%) gave a history of contact with SARS-CoV-2 patients. Conclusion The number of SARS-CoV-2 cases is rapidly increasing in Karachi, Pakistan. There is a need to educate the population about the most common sign and symptoms of the virus so that individuals can identify these symptoms and get themselves tested. The concerned authorities should devise an adequate and effective plan to flatten the infectivity curve.

Only strict quarantine measures can curb the coronavirus disease (COVID-19) outbreak in Italy, 2020.

Several Italian towns are under lockdown to contain the COVID-19 outbreak. The level of transmission reduction required for physical distancing interventions to mitigate the epidemic is a crucial question. We show that very high adherence to community quarantine (total stay-home policy) and a small household size is necessary for curbing the outbreak in a locked-down town. The larger the household size and amount of time in the public, the longer the lockdown period needed.

COVID-19 outbreak on the Diamond Princess cruise ship: estimating the epidemic potential and effectiveness of public health countermeasures.

BACKGROUND: Cruise ships carry a large number of people in confined spaces with relative homogeneous mixing. On 3 February, 2020, an outbreak of COVID-19 on cruise ship Diamond Princess was reported with 10 initial cases, following an index case on board around 21-25th January. By 4th February, public health measures such as removal and isolation of ill passengers and quarantine of non-ill passengers were implemented. By 20th February, 619 of 3700 passengers and crew (17%) were tested positive. METHODS: We estimated the basic reproduction number from the initial period of the outbreak using SEIR models. We calibrated the models with transient functions of countermeasures to incidence data. We additionally estimated a counterfactual scenario in absence of countermeasures, and established a model stratified by crew and guests to study the impact of differential contact rates among the groups. We also compared scenarios of an earlier versus later evacuation of the ship. RESULTS: The basic reproduction rate was initially 4 times higher on-board compared to the ${R}_0$ in the epicentre in Wuhan, but the countermeasures lowered it substantially. Based on the modeled initial ${R}_0$ of 14.8, we estimated that without any interventions within the time period of 21 January to 19 February, 2920 out of the 3700 (79%) would have been infected. Isolation and quarantine therefore prevented 2307 cases, and lowered the ${R}_0$ to 1.78. We showed that an early evacuation of all passengers on 3 February would have been associated with 76 infected persons in their incubation time. CONCLUSIONS: The cruise ship conditions clearly amplified an already highly transmissible disease. The public health measures prevented more than 2000 additional cases compared to no interventions. However, evacuating all passengers and crew early on in the outbreak would have prevented many more passengers and crew from infection.