Little is known about how flood risk of health-care facilities (HCFs) is evaluated by emergency preparedness professionals and HCFs administrators. This study assessed knowledge of emergency preparedness and HCF management professionals regarding locations of floodplains in relation to HCFs. A Web-based interactive map of floodplains and HCF was developed and users of the map were asked to evaluate it.

An online survey was completed by administrators of HCFs and public health emergency preparedness professionals in Illinois, before and after an interactive online map of floodplains and HCFs was provided.

Forty Illinois HCFs located in floodplains were identified, including 12 long-term care facilities. Preparedness professionals have limited knowledge of whether local HCFs were in floodplains, and few reported availability of geographic information system (GIS) resources at baseline. Respondents intended to use the interactive map for planning and stakeholder communications.

Given that HCFs are located in floodplains, this first assessment of using interactive maps of floodplains and HCFs may promote a shift to reliable data sources of floodplain locations in relation to HCFs. Similar approaches may be useful in other settings.

This paper: (1) explores the real and perceived threats to Emergency Departments (EDs) in addressing infectious disease cases in the US, like measles, and (2) identifies priorities for protecting employees, patients, and others stakeholders through hospital preparedness while streamlining processes and managing costs.

A case study approach was used to describe the events that triggered an infectious disease emergency response in 1 ED in the southeast. Development of the case study was informed by emergency preparedness literature on Homeland Security Exercise and Evaluation Program processes.

Hospital staff and administrators identified a number of factors that either positively contributed to disease containment or exacerbated conditions for disease transmission. Successes included early recognition of the potential threat, development of a multidisciplinary taskforce, and implementation of a pre-incident response plan. Challenges comprised of patient flow in crisis response, lab turnaround time, and employee records.

The threat of exposure challenged daily operations and raised situational awareness among administrators and providers to issues that might arise during an infectious disease exposure. Recording emergency preparedness successes, remediating challenges, and sharing information with others may help minimize the threat of communicable diseases within hospital settings in the future.

To analyze the cost of the terror attack in Nice in a single pediatric institution.

We carried out descriptive analyses of the data coming from the Lenval University Children’s Hospital of Nice database after the July 14, 2016 terror attack. The medical cost for each patient was estimated from the invoice that the hospital sent to public insurance. The indirect costs were calculated from the hospital’s accounting, as the items that were previously absent or the difference between costs in 2016 versus the previous year.

The costs total 1.56 million USD, corresponding to 2% of Lenval Hospital’s 2016 annual budget. Direct medical costs represented 9% of the total cost. The indirect costs were related to human resources (overtime, sick leave), revenue shortfall, and security and psychiatric reinforcement.

Indirect costs had a greater impact than did direct medical costs. Examining the level and variety of direct and indirect costs will lead to a better understanding of the consequences of terror acts and to improved preparation for future attacks.

This study was intended to demonstrate the applicability of the hackathon in idea generation for managing emergencies and disasters with a particular focus on flash floods.

A 4-day hackathon event was held, having 60 students, 9 mentors and 6 judges gathered to explore different ideas, and to solve problems of Iran flooding from mid-March to April, 2019. Of these, 10 teams with 6 students were accordingly formed to brainstorm and discuss the idea, while 9 mentors offered advice and guided them to manage their ideas. Then, all teams focused on designing their business models. Finally, the hackathon teams finalized their lean canvas and presented their ideas to the judging panel and the other participants.

A total of 10 ideas were presented, and based on the knowledge and experience of the judges, 3 ideas that were more practical and useful were selected.

As participants in a hackathon identify and present real-world problems, while ensuring that the prototype solutions address the end-user’s needs, it could be used to drive innovation, generate ideas, promote change in emergencies and disasters, and can increase our preparedness for future events. It helps us to develop tools and applications to better respond to these events.

Coronavirus disease (COVID-19) has emerged as a global pandemic for public health due to the large scale outbreak, therefore there is an urgent need to detect the infected cases quickly and isolate them in order to suppress the further spread of the disease. This study tries to identify a suitable pool testing method and algorithm for COVID-19.

This study tries to derive a general equation for the number of tests required for a pooled sample to detect every infected individual in the specific pool. The gain in pool testing over the normal procedure is quantified by the percentage of tests required compared to individual testing.

The percentage of tests required by the pool testing strategy varies according to the different splitting procedures, the size of the pooled sample, and the probability of an individual being infected in the population. If the probability of infection is 0.05, then for a pool size of 32, only 14 tests are sufficient to detect every infected individual.

The number of tests required to detect infected individuals by using the pooling method is much lower than individual testing. This may help us with increasing our testing capacity for COVID-19 by testing a large number of individuals in less time with limited resources.

This article considers how health education organizations in the World Health Organization's 9 Vaccine Safety Network (VSN) use Twitter to communicate about vaccines with the public, and whether they answer questions and engage in conversations. Almost no research in public health, to our knowledge, has explored conversational structure on social media among posts sent by different accounts.

Starting with 1,017,176 tweets by relevant users, we constructed 2 corpuses of multi-tweet conversations. The first was 1,814 conversations that included VSN members directly, whereas the second was 2,283 conversations mentioning vaccines or vaccine denialism. The tweets and user metadata were then analyzed using an adaptation of rhetorical structure theory.

In the studied data, VSN members tweeted 12,677 times within conversations, compared to their 37,587 lone tweets. Their conversations were shorter than those in the comparison corpus (P < 0.0001), and they were involved in fewer multilogues (P < 0.0001).

While there is diversity among organizations, most were tied to the pre-social media broadcast model. In the future, they should try to converse more, rather than tweet more, and embrace best practices in risk communication.

We aimed to investigate knowledge, attitudes, and practices regarding the new coronavirus in a sample of the general Pakistani population.

This survey was carried out through The University of Faisalabad (TUF), Pakistan, between February 2020 and April 2020. The questionnaire was circulated on various online platforms to gather information. The data were analyzed on SPSS-22.

Out of 2121 respondents (13.7% were male, and 86.3% were females), 7.4% were married, 4.5% had a high income, and 5.8% had fewer family members. Coronavirus disease (COVID-19) knowledge scores were significantly low in the < 21 years age group as compared to the 21 to 25 years age group (P < 0.001) and > 25 years age group (P < 0.001). The males, married community, high income people, and few family members groups had significantly higher coronavirus knowledge than their respective groups (P = 0.033; P = 0.001; P < 0.001; P = 0.042, respectively).

Our findings suggest that the knowledge score among our study population was not up to the mark. However, a positive correlation between the correct knowledge and appropriate attitude and practice was found among study participants. Older age groups and the high income group were associated with adequate knowledge scores.

The aim of this study was to investigate risk factors and psychological stress of health-care workers (HCWs) with coronavirus disease 2019 (COVID-19) in a nonfrontline clinical department.

Data of 2 source patients and all HCWs with infection risk were obtained in a department in Wuhan from January to February 2020. A questionnaire was designed to evaluate psychological stress of COVID-19 on HCWs.

The overall infection rate was 4.8% in HCWs. Ten of 25 HCWs who contacted with 2 source patients were diagnosed with confirmed COVID-19 (8/10) and suspected COVID-19 (2/10). Other 2 HCWs were transmitted by other patients or colleagues. Close care behaviors included physical examination (6/12), life nursing (4/12), ward rounds (4/12), endoscopic examination (2/12). Contacts fluctuated from 1 to 24 times and each contact was short (8.1 min ± 5.6 min). HCWs wore surgical masks (11/12), gloves (7/12), and isolation clothing (3/12) when providing medical care. Most HCWs experienced a mild course with 2 asymptomatic infections, taking 9.8 d and 20.9 d to obtain viral shedding and clinical cure, respectively. Psychological stress included worry (58.3%), anxiety (83.3%), depression (58.3%), and insomnia (58.3%).

Close contact with COVID-19 patients and insufficient protection were key risk factors. Precaution measures and psychological support on COVID-19 is urgently required for HCWs.

Identification of hospital preparedness challenges against biological events such as coronavirus disease 2019 (COVID-19) is essential to improve dynamics, quality, and business continuity confidence in the health system. Accordingly, the purpose of the present study is to evaluate the challenges of hospital preparedness in biological events.

This study used a qualitative method using content analysis in which 20 health-care managers and experts who are experienced in biological events were selected through purposeful sampling. The data collection was done through semi-structured interviews, which continued until data saturation. The data were analyzed using qualitative content analysis as well as the Landman and Graneheim Approach.

Six main concepts (training and practice, resource management, safety and health, patient management, risk communication, and laboratory and surveillance) and 14 subconcepts were extracted on hospital preparedness challenges in biological events through analyzing interviews.

The present study indicated that the health system of the country faces many challenges in response to biological events and threats. Moreover, study participants indicated that Iranian hospitals were not prepared for biological events. It is recommended to design preparedness plans of hospitals based on preparedness standards for biological events. In addition, comprehensive measures are required to enhance their capacity to respond to biological emergencies.

This study aims to assess the knowledge and awareness, and to identify the practice reflection of knowledge concerning Middle East Respiratory Syndrome (MERS) on hospital visitor’s daily life.

A cross-sectional study, conducted in 2 tertiary referral hospitals in Riyadh Saudi Arabia, from February 2015 to February 2016. A total random sample of 305 hospital visitors consented to participate. Data were collected through a self-administered questionnaire consisting of questions regarding awareness and practice of measures to prevent the spread of infection.

Study showed that participants have a fair knowledge regarding the cause of MERS (N = 228; 74.8%). Nearly half of them (47%) stated that camels are the source of the spread of MERS. Approximately 70% of the participants preferred both sanitization and wearing facemasks as preventive measures for MERS. However, only 3.95% practiced not eating camel products, such as milk and meat.

Although hospital visitors showed some knowledge and positive awareness in several aspects of MERS awareness, there are weak areas where knowledge and awareness were not up to recommended guidelines. Continued educational programs are needed to improve awareness and knowledge of all the public toward MERS-coronavirus infection. This study may assist in the development of future strategies on preventive measures of the disease.

Nurses and paramedics by being the frontline workers of the health-care profession need to be equipped with the relevant knowledge, skills, and protective gears against different forms of infection, including coronavirus disease 2019 (COVID-19). Although the governments and concerned stakeholders have provided personal protective equipment (PPE), training and information to protect the health-care professionals; however, until now the scientific literature has virtually not reported the impact of PPE availability, training, and practices on the COVID-19 sero-prevalence among the nurses and paramedics. This study aimed to assess the impact of PPE availability, training, and practices on COVID-19 sero-prevalence among nurses and paramedics in teaching hospitals of Peshawar, Pakistan.

A cross-sectional survey was conducted with a total of 133 nurses and paramedics as subjects of the study.

A univariate analysis was done for 4 variables. The findings indicate that the health-care professionals (nurses and paramedics) who have received PPE on time at the start of COVID-19 emergence have fewer chances of contracting the COVID-19 infection (odds ratio = 0.96); while the odds for PPE supplies was 0.73, and the odds of hand hygiene training was 0.95.

The study concluded that the availability of the PPE, COVID-19–related training, and compliance with World Health Organization recommended practices against COVID-19 were instrumental in protection against the infection and its spread.

The coronavirus disease (COVID-19) pandemic was initiated in Wuhan Province of mainland China in December 2019 and has spread over the world. This study analyzes the effects of COVID-19 based on likely positive cases and fatality in India during and after the lockdown period from March 24, 2020, to May 24, 2020.

Python has been used as the main programming language for data analysis and forecasting using the Prophet model, a time series analysis model. The data set has been preprocessed by grouping together the days for total numbers of cases and deaths on few selected dates and removing missing values present in some states.

The Prophet model performs better in terms of precision on the real data. Prediction depicts that, during the lockdown, the total cases were rising but in a controlled manner with an accuracy of 87%. After the relaxation of lockdown rules, the predictions have shown an obstreperous situation with an accuracy of 60%.

The resilience could have been better if the lockdown with strict norms was continued without much relaxation. The situation after lockdown has been found to be uncertain as observed by the experimental study conducted in this work.

Personal protective equipment (PPE) use is frequently construed as inconvenient and disturbing by health care professionals (HCPs). We hypothesized that new-onset symptoms among HCPs may be associated with extended use of PPE and aimed to investigate risk factors related with new-onset symptoms. In addition, the effects of new-onset symptoms on working performance were evaluated.

In this cross-sectional study, 315 participants filled out a questionnaire that contains 4 main parts: (1) demographics, (2) new-onset symptoms with PPE use, (3) PPE usage hours, and (4) personal opinion about the effect of sensed symptoms on working performance.

The mean age was 31.58 ± 4.6 years, and 50.5% (n = 159) were female. New-onset symptom rate was 66% (n = 208). The most common new-onset symptom was headache (n = 115, 36.5%) followed by breathing difficulty-palpitation (n = 79, 25.1%), and dermatitis (n = 64, 20.3%). Extended use of PPE, smoking, and overweight were independently associated with developing new-onset symptoms. A clear majority of symptomatic participants pointed out the impact on working performance (193/208, 92.7%).

Hospitals should take the necessary precautions (eg, shorter shifts and more frequent breaks) to prevent symptoms associated with PPE and ensure that HCPs comply with these precautions.

The aim of this study was to develop a context-bound model of hospital triage in disasters and mass casualty incidents in the health system of Iran.

This study was done using a sequential mixed method. Data were analyzed using Expert Choice software program.

In the qualitative phase, 27 specialists were interviewed. Walking and purposeful movement, airway and respiration, circulatory status, and mental indices were included in the finalized model. In the quantitative phase, 21 participants responded to a questionnaire for weighting and ranking the final indices based on 3 competing options, including clinical importance of the index, lack of complexity and simplicity in implementation, and speed of implementation. The index of walking and purposeful movements weighing 0.300 and ranking 1, airway and respiration weighing 0.276 and ranking 2, blood circulatory status weighing 0.245 and ranking 3, and finally mental status weighing 0.179 and ranking 4 were obtained.

This is the first attempt to design and develop a new context-bound model of hospital triage in disasters and mass casualties in Iran. The development of new triage models is a dynamic and continuous process, and changes will be applied to them, in case further developments and improvements are required.

In response to increasing caseloads of foodborne illnesses and high consequence infectious disease investigations, the Texas Department of State Health Services (DSHS) requested funding from the Texas Legislature in 2013 and 2015 for a new state-funded epidemiologist (SFE) program.

Primary cross-sectional survey data were collected from 32 of 40 local health departments (LHDs) via an online instrument and analyzed to quantify roles, responsibilities, and training of epidemiologists in Texas in 2017 and compared to similar state health department assessments.

Sixty-six percent of SFEs had epidemiology-specific training (eg, master’s in public health) compared to 45% in state health department estimates. For LHDs included in this study, the mean number of epidemiologists per 100 000 was 0.73 in medium LHDs and 0.46 in large LHDs. SFE positions make up approximately 40% of the LHD epidemiology workforce of all sizes and 56% of medium-sized LHD epidemiology staff in Texas specifically.

Through this program, DSHS increased epidemiology capacity almost twofold from 0.28 to 0.47 epidemiologists per 100 000 people. These findings suggest that capacity funding programs like this improve epidemiology capacity in local jurisdictions and should be considered in other regions to improve general public health preparedness and epidemiology capacity.

To review Emergency Department internet connectivity, cyber risk factors, perception of risks and preparedness, security policies, training and mitigation strategies.

A validated targeted survey was sent to Canadian ED physicians and nurses between March 5, 2019 and April 28, 2019.

There were 349 responses, with physicians making up 84% of the respondents (59% urban teaching, 35% community teaching, 6% community non-teaching hospitals). All had multiple passwords, 93% had more than 1 user account, over 90% had to log repeatedly each workday, 52% had to change their passwords every 3 months, 75% had multiple methods of authentication and 53% reported using a terminal where someone else was already logged in. Passwords were used to review laboratory and radiology data, access medical records and manage patient flow. Majority of the respondents (51%) did not know if they worked with internet linked devices. Only 7% identified an ‘air gapped’ computer in their facility and 76% used personal devices for patient care, with less than a third of those allowing the IT department to review their device. A total of 26 respondents received no cyber security training.

This paper revealed significant computer-human interface dysfunctionality and readiness gaps in the event of an IT failure. These stemmed from poor system design, poor planning and lack of training. The paper identified areas with technical or training solutions and suggested mitigation strategies.

This study evaluated the relationships between the occurrence of recent and recurring natural disasters on the incidence of acute and chronic health outcomes at the census tract level in 500 cities across the United States between 2001 and 2015.

Using the Centers for Disease Control and Prevention (CDC) 500 cities data set, the CDC Social Vulnerability Index, and the US Small Business Administration (SBA) Disaster Loan Database, we modeled the incidence of self-reported, poor mental and physical health, or a clinical diagnosis of high blood pressure or asthma in census tracts (N = 27 204 tracts in 500 cities) that had experienced recent or recurring natural disasters while controlling for social and environmental risk factors.

Communities that experienced a natural disaster in the previous 5 years compared to those that had not had a higher incidence of poor mental health (RR: 1.02, 95% CI: 1.01-1.02), poor physical health (RR: 1.03, 95% CI: 1.02-1.04), high blood pressure (RR: 1.04, 95% CI: 1.02-1.05), and asthma (RR: 1.01, 95% CI: 1.01-1.02). The incidence of these poor health outcomes increased 1-2% with each additional year that a community experienced a disaster.

Prevention and preparedness plans that work to build resilience in communities before disasters should focus on closing the gap in environmental and social determinants that have been linked with disproportionate health burdens and slow recovery post-disaster.