Since the beginning of the coronavirus disease (COVID-19) pandemic, several frontline workers have expressed their concerns about reduced emergency department (ED) utilization. We aimed to examine the changes in ED utilization during the early phase of the COVID-19 pandemic, in a country with a well-developed primary care system.

A retrospective analysis of ED utilization was performed in 3 Dutch hospitals during a 60-day period, starting on February 15, 2020. The identical period in 2019 was used as a reference. ED visits were labeled as COVID-related (defined as COVID-19 suspected) or non-COVID-related. Admission rates were compared using chi-square tests, and the reduction in ED visits was assessed descriptively.

During the study period, daily ED volume was 18% lower compared to that of 2019. ED utilization further declined (-29%) during lockdown. Combined admission rates were higher in 2020 compared to those in 2019 (P < 0.001), and they were higher for COVID-19 versus non-COVID-19 ED visits (P < 0.001).

ED utilization was markedly reduced during the local rise of COVID-19 in a region with a well-developed primary care system and relatively low ED self-referral rates. Although it cannot directly be concluded from the findings of our study, this observation likely reflects a complex interaction between pure lockdown effects and viral fear, which warrants further research.

We study the effect of the coronavirus disease 2019 (COVID-19) in India and model the epidemic to guide those involved in formulating policy and building health-care capacity.

This effect is studied using the Susceptible-Exposed-Infected-Recovered (SEIR) compartmental model. We estimate the infection rate using a least square method with Poisson noise and calculate the reproduction number.

The infection rate is estimated to be 0.270 and the reproduction number to be 2.70. The approximate peak of the epidemic will be August 9, 2020. A 25% drop in infection rate will delay the peak by 11 d for a 1-mo intervention period. The total infected individuals in India will be 9% of the total population.

The predictions are sensitive to changes in the behavior of people and their practice of social distancing.

In South Korea, many individuals were self-quarantined for the coronavirus disease 2019 (COVID-19) after the quarantine criteria were extended to all overseas travelers. This study was conducted to identify the noncompliance rate of self-quarantine for COVID-19 cases and assess the impact of a 1-strike out policy and an increased amount of penalty for the violating self-quarantine in South Korea.

The self-quarantine noncompliance rate for COVID-19 was examined using publicly available data. We collected the daily number of quarantine and quarantine violation cases from March 22 to June 10, 2020. A Poisson regression analysis was conducted to identify the impact of additional sanctions for the quarantine violation.

The median number of individuals quarantined per day was 36,561 (interquartile range, 34,408-41,961). The median number of daily self-quarantine violations was 6 (range, 0-13). The median rate of self-quarantine violations was 1.6 per 10,000 self-quarantined individuals (range, 0.0-8.0 per 10,000 self-quarantined individuals). The additional sanction has no significant impact on the number of violations among quarantine individuals (P = 0.99).

The additional sanction for the violation of quarantined individuals did not reduce the self-quarantine violations. Further studies are warranted to strengthen the compliance of self-quarantine for future pandemics.

Little is known regarding how home care is affected by extreme weather. In February 2018, Fukui City in Japan experienced unprecedented levels of snowfall. We examined snowfall impact on the provision of home care to elucidate whether patients incurred any harm.

A retrospective observational study using clinical and administrative records from a clinic in Fukui City was conducted on 294 patients (mean age = 69.9 ± 27.7 years; women = 60.5%, median age = 81). The study period was from February 5 to February 18, 2018. We analysed the patients’ characteristics, daily trend of planned/actual patient visits, emergency transportation situations, and local snow accumulation. We summarized the situation in the clinic.

There were 326 planned home visits, however only 121 (37%) occurred. Despite this, there were only 2 emergency transfers. Although the available clinical staff was limited, they managed to contact most patients via telephone and social networking services.

Although the number of home visits dramatically decreased, the number of emergency transfers did not increase. This study therefore highlights the necessity for effective disaster preparation, such as assessment training, or use of telemedicine, and on-site decision-making to maintain home care during disasters.

Evaluate the relevance of the coronavirus disease 2019 (COVID-19) positive case detection policy or model implemented by the Ministry of Public Health (MPH) of Ecuador and to compare it with the experiences of other countries.

Data contained the daily reports publicized by the MPH. The formulations were carried out under the Conditioned Probability modality applying Bayes’ Theorem. All the COVID-19 tests applied in relation to the confirmed cases per million inhabitants were considered to obtain their level of positivity, and compared with the experience of Iceland and South Korea.

The probability of detecting positive cases of COVID-19 in Ecuador was higher than Iceland and South Korea, because the diagnostic tests were aimed at symptomatic patients, without identifying asymptomatic or mild symptomatic, who play an important role in the transmission of the disease. In addition, many symptomatic patients were examined but will remain undiagnosed due to the unavailability of tests and the low quality of many of them.

The daily reports on the behavior of the COVID-19 issued by the Ecuadorian government do not adequately represent the growth in the number of those infected each day, nor the actual behavior of the epidemic, affecting possible control measures.

The 2019 coronavirus disease (COVID-19) has spread to most countries around the world, infecting millions of people and resulting in the pandemic. This presents great challenges for dental professionals. It is necessary to explore preventive measures for COVID-19 in dental treatments.

In this paper, we outline several measures designed to prevent COVID-19 in dental treatments, such as 3-level pre-examination triage and 2-body temperature tests, 3-level protection for medical personnel, gargling before oral treatment, implementing the 4-hand operation, suctioning saliva during oral treatment, using a rubber dam, and strict enforcement of hand hygiene. These measures include recommendations for medical staff and give practical advice for managing treatment.

The epidemic has been brought under control, and routine oral examination and treatments have gradually been resumed from March 9, 2020, in Hunan Province, China. From January 24 to March 8, 2020, a total of 4272 patients received oral therapy during the COVID-19 epidemic in our hospital. We followed these guidelines during the COVID-19 epidemic, and none of the clinical dental staff, other workers, or patients were infected with COVID-19.

These preventive measures for COVID-19 in dental treatments can be used as a reference for oral clinics and stomatological hospitals.

Following stay-at-home (SAH) orders issued for coronavirus disease (COVID-19), state-level economic concerns increased and many let these orders expire. As a method to measure public preparedness, we sought to explore the association between public interest in preventive measures and the easing of SAH orders – specifically the increases in COVID-19 cases and fatalities after the orders expired.

Search volume was collected from Google Trends for “hand sanitizer,” “social distancing,” “COVID testing,” and “contact tracing” for each state. Bivariate correlations were computed to analyze associations between public interest in preventive measures, changes in confirmed COVID-19 cases after SAH expirations, COVID-19 case-fatality rates, and by-state presidential voting percentages.

A higher interest in preventive measures was associated with lower rates of confirmed cases after SAH orders had expired (r = −0.33), higher state-wide deaths per capita (r = 0.42), and case-fatality rates (r = 0.60). Moderate to strong negative correlations were found between states’ percentage of voters supporting the Republican nominee in 2016 and proportion of queries for average preventive measures (r = −0.77).

Our investigation shows that increased public interest in COVID-19 prevention was associated with longer SAH orders and less COVID-19 cases after the SAH orders’ expiration; however, it was also associated with higher case-fatality rates.