The purpose of this study is to analyze a strategy for the assignment and transportation of injured patients to hospital to decrease the demand on transportation, in both predisaster and postdisaster periods, on the Anatolian side of Istanbul.

Two approaches are used in this study: a Voronoi diagram, and a heuristic approach to the problem of scheduling. A Voronoi diagram is used to divide the city into 74 regions, where each hospital has a certain region of responsibility. The transportation strategy of 1 hospital is modeled by minimizing the makespan (ie, the maximal completion time) and the work-in-process, which are used as different objectives in scheduling theory.

The total waiting time of 100 injured people was minimized to 13,036 min when a total of 3 vehicles was used in the studied region, on the Asian side of Istanbul. The transportation capacity and total operating capacity of the hospitals should be approximately equal.

The people of Istanbul will be in a safer position if the suggested measures are implemented. This is an important consideration, as Istanbul is situated in a region where serious earthquakes are possible at any moment.

Operation based exercises represent simulation activities, which are of great importance for emergency preparedness, as they simulate real experiences in a guided manner. Whereas their primary purpose is to address the organizational emergency preparedness, little is known about the personal benefits of involved participants and whether these positive changes endure over time.

Immediate and medium term assessment of the effectiveness on individual preparedness and benefits of participants, based on self-perception, after participating in a set of 4 interdisciplinary field exercises organized as part of the MSc in Global Health-Disaster Medicine of the Medical School of the National and Kapodistrian University of Athens, Greece. The field exercises were carried out yearly, from 2016 to 2019. Data were collected via questionnaires pre- and post-exercise (1 week and 10 months after participation). The sample size was 228 trainees, with a response rate of 88%.

The majority (95%) stated that Mass Casualty Incident (MCI) exercises are appropriate for disaster management training in terms of comprehending theory, and for team-building training. In the case of a real MCI, 22% of the participants declared themselves to be ready to respond prior to MCI exercises. Upon completion, the overall perception of readiness among the participants increased to 77%. Trainee feedback indicated enhancement of both technical and non-technical skills (87%), which were persistent over time, and revealed a high level of satisfaction with the training.

This study shows a positive immediate and medium-term impact of operation-based exercises on technical, non-technical skills, and self-perception of participants.

This study analyzes the effects of the Pedernales earthquake (April 2016) on Ecuador’s health care system.

A research was carried out in Chone Canton, which combined documentary, quantitative, and qualitative techniques. Epidemiological and service production information taken from official documents was analyzed systematically. In-depth interviews and surveys were conducted with health care program directors and technicians from the Health Centres of the Ministry of Public Health and the users.

Deficiencies in the health care system were already observed in Chone Canton prior to the earthquake mainly due to the lack of doctors, nurses, and hospital beds. According to the interviewees, the health district was not prepared for an emergency like the earthquake. Some buildings fell after the earthquake, and Chone Hospital was disabled. These problems coupled with preventive action failures at the community level led to an increase in diseases after the earthquake.

The shortage of personnel and physical infrastructure, weaknesses in primary health care in the Ecuadorian health system, the lack of preparation, and limited availability of information on health indicators were the causes of the sharp increase in pre-existing diseases in the area, and of new epidemic outbreaks after the earthquake.

This study examined the relationship of perceived safety and confidence in local law enforcement and government to changes in daily life activities during the Washington, DC, sniper attacks.

Participants were 1238 residents from the Washington, DC metropolitan area who were assessed using an Internet survey that included items related to safety at work, at home, and in general, confidence in law enforcement/government, and changes in routine daily life activities.

A majority of participants (52%, n = 640) reported changing their daily life activities, with approximately one-third identifying changes related to being in large places and getting gas. Perceived safety was associated with confidence in local law enforcement/government. After adjusting for demographics, lower feelings of safety and less confidence in law enforcement/government were related to a higher likelihood of altered daily activities. Confidence in local law enforcement/government modified the association of safety with changes in daily activities. Among participants with high safety, less confidence in local law enforcement/government was associated with greater changes in daily life activities.

Serial shooting events affect feelings of safety and disrupt routine life activities. Focus on enhancing experiences of safety and confidence in local law enforcement and government may decrease the life disruption associated with terrorist shootings.

This study evaluates the effectiveness of our game-based pedagogical technique by comparing the learning, enjoyment, interest, and motivation of medical students who learned about best practices for patient surge in a natural disaster with a novel game-based computer application, with those of medical students who learned about it with a traditional lecture.

We conducted our study by modifying an existing optional course in disaster medicine that we taught at Sichuan University. More specifically, in 2017, while our application was still in development, we taught this course by lecture. In this iteration, 63 third-grade medical students voluntarily joined our course as our ‘lecture group.’ Once our application was complete in 2018, 68 third-grade medical students voluntarily joined this course as the ‘game group.’ We examined the different effects of these learning methods on student achievement using pre -, post -, and final tests.

Both teaching methods significantly increased short-term knowledge and there was no statistical difference between the 2 methods (p > 0.05). However, the game group demonstrated significantly higher knowledge retention than the traditional lecture group (p < 0.05).

Our game-based computer application proved to be an effective tool for teaching medical students best practices for caring for patient surge in a natural disaster.

Originating in China in December 2019, coronavirus disease 2019 (COVID-19) rapidly spread to more than 216 countries in the world by May 2020. Because dentists are at a higher risk of contracting the disease, the present study assessed the fear and anxiety among dental practitioners of becoming infected with COVID-19.

An online cross-sectional questionnaire survey comprising of 9 questions was conducted among dental practitioners of Telangana. Age, gender, qualification, type of practice, years of practice, and place of residence were the demographic variables recorded. The response to each question was recorded in a YES or NO format, and mean fear score was calculated to categorize answers into low and high levels of fear. Comparison of mean fear score was done using t-test for 2 variables and analysis of variance for 3 or more than 3 variables. Multiple logistic regression analysis of the levels of fear with demographic variables was done. P < 0.05 was considered statistically significant.

The mean fear and anxiety score of this study population reported was high 6.57 ± 2.07, with 58.31% of the population presenting with a low level of fear and anxiety. Only qualification (P = 0.045) and gender (P = 0.035) revealed a significant difference in fear to Q7and Q8, respectively. Irrespective of the age, gender, qualification, type of practice, and years in practice, the levels of fear reported in the present study were very similar. Respondents between 41 and 60 y of age (6.70 ± 2.01 y) and those with individual practices (6.70 ± 2.06 y) exhibited high fear scores.

The present study demonstrates cross-sectional data of fear and anxiety among dental practitioners during the COVID-19 outbreak. Heightened levels of fear observed in this study call for a nationwide analysis of fear among dentists and deliberate management strategies for the same.

The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might affect the successful dissemination by and adoption of public health messages from public health officials and health agencies.

We focused on conversations on Twitter during 3 key communication events from late January to early June of 2020. We used Netlytic, a Web-based software that collects publicly available data from social media sites such as Twitter.

We found that the network of conversations around COVID-19 is highly decentralized, fragmented, and loosely connected; these characteristics can hinder the successful dissemination of public health messages in a network. Competing conversations and misinformation can hamper risk communication efforts in a way that imperil public health.

Looking at basic metrics might create a misleading picture of the effectiveness of risk communication efforts on social media if not analyzed within the context of the larger network. Social network analysis of conversations on social media should be an integral part of how public health officials and agencies plan, monitor, and evaluate risk communication efforts.

The main objective of this research was to generate a consensus on the conceptual definition of household emergency preparedness from experts representing multiple disciplines and countries, in order to facilitate the development of an all-hazards, comprehensive, valid, and reliable instrument.

Questions were generated via 3 methods: literature search, using existing instruments, and expert panels using the Delphi technique.

Panelists (n = 154) representing 36 countries came to a consensus that household emergency preparedness is defined as the completion of several preparedness actions and assembling a kit that can be transported in an evacuation. The new 51-question instrument demonstrates face, content, and criterion validity and internal consistency reliability (α = 0.96). The instrument assesses whether specific preparedness actions have been taken, and the presence or absence of essential supplies that could enable households to safely endure conditions that disasters would likely present (loss of power, water limitations, and/or lack of access to additional supplies for a few days).

A valid and reliable instrument provides researchers with a replicable approach to assessment of preparedness levels, which is necessary to plan mitigation strategies, enhance health promotion, prevent injuries, and increase resilience for individuals and communities. The instrument can provide evidence to support interventions addressing health needs of community members following a disaster.

The disease burden of infectious diarrhea cannot be underestimated. Its seasonal patterns indicate that weather patterns may play an important role and have an important effect on it. The objective of this study was to clarify the relationship between temperature and infectious diarrhea, and diarrhea-like illness.

Distributed lag non-linear model, which was based on the definition of a cross-basis, was used to examine the effect.

Viral diarrhea usually had high incidence in autumn-winter and spring with a peak at -6°C; Norovirus circulated throughout the year with an insignificant peak at 8°C, while related bacteria usually tested positive in summer and peaked at 22°C. The lag-response curve of the proportion of diarrhea-like cases in outpatient and emergency cases revealed that at -6°C, with the lag days increasing, the proportion increased. Similar phenomena were observed at the beginning of the curves of virus and bacterial positive rate, showing that the risk increased as the lag days increased, peaking on days 16 and 9, respectively. The shape of lag-response curve of norovirus positive rate was different from others, presenting m-type, with 2 peaks on day 3 and day 18.

Weather patterns should be taken into account when developing surveillance programs and formulating relevant public health intervention strategies.

There is a paucity of scientific analysis that has examined spatial heterogeneities in the socioeconomic vulnerabilities related to coronavirus disease 2019 (COVID-19) risk and potential mitigation strategies at the sub-national level in India. The present study examined the demographic, socioeconomic, and health system-related vulnerabilities shaping COVID-19 risk across 36 states and union territories in India.

Using secondary data from the Ministry of Health and Family Welfare (MoHFW), Government of India; Census of India, 2011; National Family Health Survey, 2015-16; and various rounds of the National Sample Survey, we examined socioeconomic vulnerabilities associated with COVID-19 risk at the sub-national level in India from March 16, 2020, to May 3, 2020. Descriptive statistics, principal component analysis, and the negative binomial regression model were used to examine the predictors of COVID-19 risk in India.

There persist substantial heterogeneities in the COVID-19 risk across states and union territories in India. The underlying demographic, socioeconomic, and health infrastructure characteristics drive the vulnerabilities related to COVID-19 in India.

This study emphasizes that concerted socially inclusive policy action and sustained livelihood/economic support for the most vulnerable population groups is critical to mitigate the impact of the COVID-19 pandemic in India.

The focus of this study is to monitor the effect of lockdown on the various air pollutants due to the coronavirus disease (COVID-19) pandemic and identify the ones that affect COVID-19 fatalities so that measures to control the pollution could be enforced.

Various machine learning techniques: Decision Trees, Linear Regression, and Random Forest have been applied to correlate air pollutants and COVID-19 fatalities in Delhi. Furthermore, a comparison between the concentration of various air pollutants and the air quality index during the lockdown period and last two years, 2018 and 2019, has been presented.

From the experimental work, it has been observed that the pollutants ozone and toluene have increased during the lockdown period. It has also been deduced that the pollutants that may impact the mortalities due to COVID-19 are ozone, NH3, NO2, and PM10.

The novel coronavirus has led to environmental restoration due to lockdown. However, there is a need to impose measures to control ozone pollution, as there has been a significant increase in its concentration and it also impacts the COVID-19 mortality rate.

Our purpose was to determine the intensive care units’ (ICU’s) medical staff surge capacity during the coronavirus disease 2019 (COVID-19) outbreak in Spring 2020 in Spain.

A multicenter retrospective survey was performed addressing the medical specialties present in the ICUs and the increase in bed capacity during this period.

Sixty-seven centers (62.04%) answered the questionnaire. The ICU bed capacity during the pandemic outbreak increased by 160% (95% confidence interval [CI], 128.97-191.03%). The average number of beds per intensive care medicine (ICM) specialist was 1.5 ± 0.60 and 3.71 ± 2.44 beds/specialist before and during the COVID-19 outbreak, respectively. Non-ICM specialists and residents were present in 50 (74.63%) and 23 (34.3%) ICUs during the outbreak, respectively. The number of physicians (ICM and non-ICM residents and specialists) in the ICU increased by 89.40% (95% CI, 64.26114.53%). The increase in ICM specialists was, however, 4.94% (95% CI, −1.35-11.23%). Most non-ICM physicians were anesthetists, followed by pediatricians and cardiologists.

The majority of ICUs in our study were able to rapidly expand critical care capacity by adapting areas outside of the normal ICU to manage critically ill patients, and by extending the critical care staff with noncritical care physicians working as force multipliers.

This study was conducted to assess the feasibility of extended use of N95 masks in our hospital during the coronavirus disease 2019 (COVID-19) pandemic. We also studied the use pattern, user satisfaction, and issues faced during extended use of the mask.

This cross-sectional study was conducted among health-care providers in a large tertiary care teaching hospital in northern India from April 1 to May 31, 2020. A list was prepared from the institute’s register, and participants were chosen by random sampling. The data collected from the physical forms were transferred to excel sheets.

A total of 1121 responses were received. The most common problem stated with reuse of N95 masks was loss of fit followed by damage to the slings, highlighted by 44.6% and 44.4% of the participants, respectively. A total of 476 (42.5%) participants responded that they would prefer “cup-shaped N95 mask with respirator”. The median scores regarding the satisfaction with the quality of masks and their fit was also 4 each.

It was concluded that the extended use of N95 masks was acceptable, with more than 96% of the participants using these masks.

During the coronavirus disease (COVID-19) pandemic, Indian nationals evacuated from Iran were quarantined at Jaisalmer, Rajasthan. We wished to study the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in this closed population.

A basic susceptible, exposed, infected, and removed (SEIR) compartmental model was developed using the daily stepwise approach in Microsoft Excel. An advanced model using standard differential equations in Python software version 3.6 was used to estimate R0 based on model fit to actual data.

Forty-eight SARS-CoV-2 infections were found among the 474 quarantined individuals. Out of these, 44 (92%) were asymptomatic. R0 for the overall duration was found to be 2.29 (95% CI: 1.84–2.78). Male gender and age ≥ 60 years were associated with SARS-CoV-2 infection (RR = 4.33, 95% CI: 2.07–9.05 and 5.32, 95% CI: 3.13–9.04, respectively). Isolation of infected individuals and stricter quarantine of remaining individuals reduced the R0 from 2.41 initially to 1.17 subsequently.

R0 value was found comparable to the earlier studies indicating similar transmission dynamics among quarantined individuals in India. Universal testing and prompt isolation of infected individuals reduced the transmission of SARS-CoV-2. Smaller group sizes should be preferred to large groups during facility-based quarantine in evacuation situations. The role of asymptomatic individuals appears to be strong in SARS-CoV-2 transmission within closed populations.

Iran is facing a big challenge controlling the coronavirus disease 2019 (COVID-19) outbreak, and it is unclear to how individuals are engaging in preventive behaviors. This study aimed to investigate changes in preventive behaviors during the first 3 mo of the COVID-19 outbreak in Iran.

This cross-sectional survey was conducted on 1477 adults aged 18 y and older in 31 provinces of Iran. Data were collected by an anonymous online questionnaire.

Overall, engagement in preventive behaviors was relatively acceptable, and more than 45% of subjects always carried out all preventive behaviors. Engaging in all preventive behaviors had a peak in the second month and obviously declined during third month. Engagement in some preventive behaviors, such as “wearing a face mask” and “keeping a safe distance from others,” was observed less than other behaviors. There was a statistically significant difference in the engagement in preventive behaviors by gender and occupation (P < 0.001).

Although engagement in preventive behaviors was relatively acceptable for the first 2 mo of the outbreak, it has declined gradually. This is a warning for public health decision makers. COVID-19 is still a crucial issue in Iran, and it is necessary that government decision be based on the fact that Iranian people must live with a coronavirus for months, with full caution and compliance toward all preventive care protocols.

Disasters can have impact on the demand and supply of blood, with such a difficult perspective, planning of an appropriate response to counterbalance the need for blood is of paramount importance. The primary objective of this study was to evaluate how the impact of blood imbalances may be absorbed by inert recruitment of donors during 2 life-threatening earthquakes that shook Taiwan on the same date in 2016 and 2018.

A retrospective database search from blood bank registries was developed.

Despite the public efforts to restrain the flow, a 3- to 4-fold increase in volunteers responded to the earthquakes. This surge alleviated after a day and did not contribute to sub-par collections. Those who donated more than usual immediately after the event were identified as first-time, younger, and female populations. The hospitals providing inpatient care to the injured transfused a slightly decreased amount of packed red cells, whereas the use of whole blood, platelets, and plasma remained stable. The inert recruiting was effective in reducing the duration of donor overabundance.

Compared with other examples, the inert recruiting approach was effective in reducing the duration of donor overabundance to 1 day and may be useful for disaster preparedness of transfusion supplies.

To analyze the evacuation preparedness of hospitals within the European Union (EU).

This study consisted of 2 steps. In the first step, a systematic review of the subject matter, according to the PRISMA flow diagram, was performed. Using Scopus (Elsevier, Amsterdam, Netherlands), PubMed (National Library of Medicine, Bethesda, MD), and Gothenburg University´s search engine, 11 questions were extracted from the review and were sent to representatives from 15 European Union (EU)- and non-EU countries.

The findings indicate that there is neither a full preparedness nor a standard guideline for evacuation within the EU or other non-EU countries in this study. A major shortcoming revealed by this study is the lack of awareness of the untoward consequences of medical decision-making during an evacuation. Some countries did not respond to the questions due to the lack of relevant guidelines, instructions, or time.

Hospitals are exposed to internal and external incidents and require an adequate evacuation plan. Despite many publications, reports, and conclusions on successful and unsuccessful evacuation, there is still no common guide for evacuation, and many hospitals lack the proper preparedness. There is a need for a multinational collaboration, specifically within the EU, to establish such an evacuation planning or guideline to be used mutually within the union and the international community.

Recent terror attacks led the Norwegian government to develop a procedure for emergency and law enforcement services cooperation during Active Violent Incidents (AVI, abbreviated PLIVO in Norwegian). To address further national initiatives to improve preparedness for mass casualty events and penetrating injuries among emergency medical services (EMS) in Norway, training and equipment status were mapped.

All EMS regions in Norway were invited to participate in an electronic nation-wide survey about practical medical training in PLIVO scenario training and specific training in hemorrhage control and penetrating injuries.

Ninety percent (842/938) had attended at least 1 PLIVO training scenario. Of these, 76% (642/938) reported only evacuation training during the exercise, while only 20% (168/938) had practiced hemorrhage control. Eighty-one percent (760/938) respondents reported that they were equipped with tourniquets and 91% (853/938) were equipped with gauze to pack wounds. However, only 52% (487/938) and 48% (450/938) reported practical training in tourniquet application and wound packing, respectively, while 30% (280/938) reported that they had no training or only theoretical education in tourniquet application. Supervised practical training on penetrating thoracic injuries was reported by <20%, and <50% reported practical training in needle decompression of a tension pneumothorax.

Enhanced focus on training in hemorrhage control and penetrating injuries is needed. This supports the recent decision from the Norwegian government to strengthen the training for EMS in AVI (PLIVO) exercises, by focusing on medical procedures in addition to evacuation training. Although the estimated response rate is 17%, we believe the large number of respondents still make the results valuable.

Early Identification of disaster victims with mental health problems may be useful, but information within a short period after a disaster is scarce in developing countries. This study examined anxiety, depression, and post-traumatic stress symptoms at 1 month following 2019 Cyclone Fani in Odisha, India.

Post-traumatic stress symptoms (PTSS) were assessed by the Primary care PTSD screen for DSM 5 (PC-PTSD-5), anxiety symptoms by the Generalised Anxiety Disorder (GAD-7), and depression by the Patient Health Questionnaire (PHQ-9). The survey included participants’ disaster experience e.g., evacuation, fear of death, injury, death in family, damage to house, difficulty for food, displacement, and effect on livelihood.

Proportion of sample (n = 80) with probable PTSD was 42.9%, with severe anxiety was 36.7%, moderately severe depression was 16.5%, and severe depression was 3.8%. Suicidal cognitions were reported to increase by 14%. Comorbidity was common; with significant (P < 0.01) correlation between PTSS and anxiety (r = 0.69), depression (r = 0.596), and between anxiety and depression (r = 0.63). Damage of house and displacement were associated significantly with PTSD; evacuation and displacement with moderate and severe depression; and displacement with severe anxiety. No specific demographic factors were significantly linked to the psychiatric morbidities.

A considerable proportion of victims had psychiatric morbidities at 1 month. Associated risk factors included housing damages, evacuation, and displacement, suggesting the need to improve the disaster-management process.