The imposition of protective health protocols in public spaces to curb the spread of coronavirus disease (COVID-19) has confronted the ritual of congregational prayers in mosques for Muslims. This study examines the adoption of protective behaviors in the early stage of the COVID-19 outbreak and the influence of religion on risk perception by comparing precautionary behaviors in public and in mosques.

Data were collected through an online survey of 327 Muslim men across the Aceh Province, Indonesia, from April 21, 2020, to May 2, 2020. The Wilcoxon signed-rank test and the paired t-test were employed to compare the uptake of protective behaviors in public and mosques.

The adoption of protective behaviors was higher in public rather than in mosques. It further revealed that the understanding of Islamic teachings during the pandemic has influenced perceived risk and the way Muslim men comply with the protective guidelines. Those who have complete, incomplete, or no compliance of precautionary behaviors have their own interpretation of Islamic teachings that inform their individual actions to manage the risk.

This study suggests the significance of religious views for developing public health preparedness during the current and future pandemics in Aceh and other Muslim majority regions.

The study’s aim is to identify the challenges in estimating personal damages in the early stages of a disaster.

The study reviewed personal damage data in the reports on the Great East Japan earthquake and tsunami published by Japanese public agencies from 2011 to 2020, including 159 situation reports by the Fire and Disaster Management Agency and 17 disaster-related indirect death reports by the Reconstruction Agency. The study compared the reported number of deaths, missing persons, and injuries with the latest statistics to evaluate how soon the disaster’s real damages were estimated.

The reported number of deaths significantly increased in the first 1.5 years, whereas the number of missing persons spiked in the first 30 days. It required approximately 1 year until the numbers approximated the current reference rate. The total casualties included 3739 indirect deaths.

The results indicated an overestimation of missing persons, a possible underestimation of injuries, and the excess deaths due to indirect causes that complicated the estimation. The limitations of the current data collection approaches are the delay in reporting from the field and incomplete and unreliable information. A novel system is proposed, which directly collects data from all affected individuals anonymously.

To assess the hospital beds and intensive care unit (ICU) beds with a ventilator surge capacity of the health system in Kingdom of Saudi Arabia (KSA) during the coronavirus disease (COVID-19) pandemic.

This study used relevant data from the National Health Emergency Operation Center to estimate general hospital and ICU bed surge capacity and tipping points under 3 distinct transmission scenarios.

The study results reveal that hospitals in the KSA need to be supplied with additional 4372 hospital beds to care for COVID-19 positive cases if the pandemic continues over a 6 months’ period. At the same time, it requires additional 2192 or 1461 hospital beds if the pandemic persists over a 12- or 18-month period, respectively, to manage hospitalized COVID-19 overloads. The health system surge capacity would suffer from a shortage of 1600, 797, and 540 ICU beds under the 3 transmission scenarios to absorb critical and intensive care COVID-19 cases.

Our findings highlight the urgent need for additional hospital and ICU beds in the face of critical COVID-19 cases in KSA. The study recommends further assessment measures to the health system surge capacity to keep the Saudi health system prepared during the COVID-19 pandemic.

The sudden outbreak of the COVID-19 pandemic has caused tremendous challenges to the medical system. The government and hospitals have taken robust measures to curb the spread of the deadly virus. Its impact on routine medical services is gradually being taken seriously.

To identify the impact of the novel Coronavirus pandemic on emergency department (ED) patient flow and the performance of the routine ED service.

This retrospective cohort study was undertaken in a tertiary public teaching hospital ED in Chengdu, China. ED data of patients were routinely collected to compare demographic, clinical characteristics and outcomes during an 8-week period from January 1, 2019 to February 25, 2020. Data were analyzed with the chi-square statistical test.

Over the study periods, there were 31855 and 25244 patients presented to the ED in 2019 and 2020 respectively. During the pandemic period in 2020, the daily number of average ED visits was lower than that in 2019 (430 ± 134.9 versus 572 ± 38.6, P = 0.00), with fewer triage 1&2 cases (145 ± 33.3 versus 178 ± 15.0, P = 0.00). Nevertheless, the mortality increased remarkably during the pandemic period in 2020 (0.2% versus 0.1%, P = 0.009), with higher APACHE II scores (28 versus 19, P = 0.022) and shorter ED elapsed time (0.2 versus 1.4 days, P = 0.016) among these death cases.

The COVID-19 pandemic had an evident impact on the patient’s behavioral patterns and routine emergency services, which caused higher ED mortality.

Since December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been discovered in Wuhan and spread rapidly across China and worldwide. Characteristics of infected patients are needed to get insight into the full spectrum of the disease.

Epidemiological and clinical information of 1738 diagnosed patients during February 7-26, 2020 in Wuhan Dongxihu Fangcang Hospital were analyzed. A total of 709 patients were followed up on symptom, mental health, isolation site, and medication after discharge.

There were 852 males and 886 females in the cohort. The average age of the patients was 48.8 y. A total of 79.98% of the patients were from Wuhan, Hubei Province. The most common initial symptoms were fever, cough, and shortness of breath. Among all the patients, 1463 had complications, with respiratory distress as the most common complication. The average duration of hospitalization was 15.95 ± 14.69 d. The most common postdischarge symptom is cough. After discharge, most patients were full of energy and chose hotel as their self-isolation site. Coronavirus disease 2019 (COVID-19) Chinese medicine No.2 prescription is the medication used most commonly by the patients after discharge.

The population is generally susceptible to SARS-CoV-2. After receiving aggressive treatment of combined Chinese and Western medicine, most patients had a good prognosis and mental health after discharge.

This research aimed to examine health-care workers’ grief counseling for bereaved families of coronavirus disease 2019 (COVID-19) victims in China. Our research may provide a new opportunity to stimulate development of grief counseling in China.

A cross-sectional survey was conducted with 724 health-care workers selected by convenience sampling from 7 hospitals in Wuhan. Data collection tools included a sociodemographic questionnaire, the skills of grief counseling scale (SGCS), and the attitudes of grief counseling scale (AGCS).

The average SGCS score was 18.96 ± 4.66, whose influencing factors consisted of sense of responsibility, frequency of contact with bereaved families, and relevant training (P < 0.05). The average AGCS score was 33.36 ± 8.70, whose influencing factors consisted of other grief counseling skills, communication skills, education background, and relevant training (P < 0.05).

The skills and attitudes toward grief counseling among health-care workers combating COVID-19 were at a lower level in Wuhan, China, indicating the need to build a comprehensive grief counseling system, establish a standardized training course, and strengthen the popularization of grief counseling services to the public.

In this manuscript, we discuss the implementation and deployment of mobile integrated health and community paramedicine (MIH/CP) testing sites to provide screening, testing, and community outreach during the first months of the 2019 coronavirus disease (COVID-19) pandemic in the metropolitan region of Charlotte, North Carolina. This program addresses the need for an agile testing strategy during the current pandemic. We disclose the number of patients evaluated as “persons under investigation” and the proportion with positive severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) results from these sites. We describe how the programs were applied to patient care and include considerations on how additional staffing, scalability, and flexibility of these services may be applied to future patient and health care crises.

This is a descriptive report of the implementation of MIH/CP test sites in our health care system’s early response to the COVID-19 pandemic in March 2020. Retrospective data on the number of patients and their associated demographics are reported here as raw data. No statistical analysis was performed.

Between March 15, 2020, and April 15, 2020, our 6 MIH/CP test sites evaluated 4342 patients. Of these, 401 patients (9.2%) had positive test results, 62.8% of whom were women. The estimated duration of each patient encounter under investigation was 3 to 5 minutes. The paramedics were able to perform a brief history, specific physical examination, and screening for signs of hypoxemic respiratory failure. There were no cases of accidental exposure or failure of personal protective equipment for the MIH/CP paramedics.

In our health care system, we pivoted the traditional MIH/CP model to rapidly initiate remote drive-through testing for COVID-19 in pre-screened individuals. This model allowed us to test patients with suspected COVID-19 patients away from traditional health care sites and mitigate exposure to health care workers and other patients.

Community responses are important for the management of early-phase outbreaks of coronavirus disease 2019 (COVID-19). Perceived susceptibility and severity are considered key elements that motivate people to adopt nonpharmaceutical interventions. This study aimed to (i) explore perceived susceptibility and severity of the COVID-19 pandemic, (ii) examine the practice of nonpharmaceutical interventions, and (iii) assess the potential association of perceived COVID-19 susceptibility and severity with the practice of nonpharmaceutical interventions among people living in Afghanistan.

A cross-sectional design was used, using online surveys disseminated from April to May 2020. Convenience sampling was used to recruit the participants of this study. The previously developed scales were used to assess the participants’ demographic information, perceived risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and perceived severity of COVID-19. Multivariate analyses were conducted to assess the potential association of perceived COVID-19 susceptibility and severity with the practice of nonpharmaceutical interventions.

The Internet was the main source for obtaining COVID-19 information among participants in this study. While 45.8% of the participants believed it was “very unlikely” for them to get infected with COVID-19, 76.7% perceived COVID-19 as a severe disease. Similarly, 37.5% believed the chance of being cured if infected with COVID-19 is “unlikely/very unlikely.” The majority of participants (95.6%) perceived their health to be in “good” and “very good” status. Overall, 74.2% mentioned that they stopped visiting public places, 49.7% started using gloves, and 70.4% started wearing a mask. Participants who believed they have a low probability of survival if infected with COVID-19 were more likely to wear masks and practice hand washing.

It appears that communities’ psychological and behavioral responses were affected by the early phase of the COVID-19 pandemic in Afghanistan, especially among young Internet users. The findings gained from a timely behavioral assessment of the community might be useful to develop interventions and risk communication strategies in epidemics within and beyond COVID-19.

The aim of this study was to test the appearance of negative dominance in coronavirus disease (COVID-19) vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events related to the vaccine, that negative content would attract more engagement on social media than other vaccine-related posts, and posts referencing adverse events related to COVID-19 vaccination would have a higher average toxicity score.

We collected data using Google Trends for search behavior, CrowdTangle for social media data, and Media Cloud for media stories, and compared them against the dates of key adverse events related to COVID-19. We used Communalytic to analyze the toxicity of social media posts by platform and topic.

While our first hypothesis was partially supported, with peaks in search behavior for image and YouTube videos driven by adverse events, we did not find negative dominance in other types of searches or patterns of attention by news media or on social media.

We did not find evidence in our data to prove the negative dominance of adverse events related to COVID-19 vaccination on social media. Future studies should corroborate these findings and, if consistent, focus on explaining why this may be the case.

The aim of this study was to evaluate the mortality rates of 566,602 patients with coronavirus disease (COVID-19) based on sex, age, and the presence or absence of underlying diseases and determine whether the underlying disease provides prognostic information specifically related to death.

The mortality rate was evaluated using conditional probability to identify the significant factors, and adjusted odds ratios (ORs) using a multivariable logistic regression analysis were estimated.

The mortality rate of patients with underlying health conditions was 12%, which was 4 times higher than that of patients without underlying health conditions. Furthermore, the mortality rates of women and men with underlying health conditions were 5.5 and 3.4 times higher than the mortality rates of patients without underlying health conditions, respectively. In a multivariable logistic regression analysis including sex, age, and underlying health conditions, male sex (OR: 1.83), age ≥ 41 y (ORs > 2.70), and underlying health conditions (OR: 2.20) were confirmed as risk factors for death.

More attention should be paid to older patients with underlying diseases and male patients with underlying diseases as the probability of death in this population was significantly higher.

This study aims to identify error-prone operational steps and key sites of self-contamination during donning and doffing of personal protective equipment (PPE).

A total of 56 health care workers, including 37 nurses and 19 physicians, were recruited to don and doff the PPE recommended by the Chinese Center for Disease Control and Prevention. Operational errors and sites of self-contamination were recorded using UV-fluorescent labeling and video surveillance.

Three main errors during donning were identified: choosing a loose-fitting coverall that was difficult to handle; ignoring to inspect the seal of N95 respirator or gloves; and forgetting to pull up the zipper completely. Four main errors during doffing were identified: removing the N95 respirator in a wrong way; touching the scrubs with contaminated hands and elbows; touching contaminated external surfaces of the goggles; and performing insufficient hand hygiene. Key sites that were easily contaminated during the doffing of PPE included left hand and wrist, left lower leg, chest, and left abdomen.

Identifying the steps prone to errors and key sites of self-contamination in the process of PPE donning and doffing can facilitate the training of PPE use and provide detailed evidence for optimizing standardized protocols to reduce contamination.