1.Estimating the medical capacity required to administer mass prophylaxis: a hypothetical outbreak of smallpox virus infection in Korea
Sangwoo TAK ; Soomin LIM ; Heesu KIM
Epidemiology and Health 2019;41(1):2019044-
OBJECTIVES: The aim of this study was to estimate the medical surge capacity required for mass prophylaxis based on a hypothetical outbreak of smallpox.METHODS: We performed a simulation using the Bioterrorism and Epidemic Outbreak Response Model and varied some important parameters, such as the number of core medical personnel and the number of dispensing clinics.RESULTS: Gaps were identified in the medical surge capacity of the Korean government, especially in the number of medical personnel who could respond to the need for mass prophylaxis against smallpox.CONCLUSIONS: The Korean government will need to train 1,000 or more medical personnel for such an event, and will need to prepare many more dispensing centers than are currently available.
Bioterrorism
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Korea
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Smallpox
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Surge Capacity
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Vaccination
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Variola virus
2.Assessment of current hospital capacity in Beijing in responding to potential influenza pandemic: an application on Flu Surge model.
Ying SHI ; Guang ZENG ; Hui-Lai MA ; Guo-Qing SHI ; Hao-Jie ZHONG ; Feng-Man DOU ; Ping ZHANG ; Feng RUAN ; Jun ZHANG ; Hui SUN
Chinese Journal of Epidemiology 2008;29(2):191-194
INTRODUCTIONBased on the estimate results of the capacity and preparedness of Beijing hospitals to respond to pandemic influenza, using flu surge model to evaluate its applicable hypothesis and to provide government with sentient strategy in planning pandemic influenza. Through collection of medical resources information, we calculated the possible impaction on hospitals by Flu Surge model and explored the applicable hypothesis in model operation through a questionnaire, direct observation and group discussion in 3 hospitals in Beijing. Based on flu surge model estimation during a 6-week epidemic from a pandemic virus with 35% attack rate, Beijing would have had an estimation of 5 383 000 influenza illnesses, 2 691 500 influenza outpatients, 76 450 influenza hospitalizations and 14 508 excess deaths. For a 6-week period with 35% attack rate, there would be a peak demand for 8% of beds, 210% of ICU beds, and 128% of ventilators estimated. Outpatients in different level hospital were quite disproportionated with 1742/ hospital/day, 650/hospital/day, and 139/hospital/day respectively. The sampled health workers had a mastery of 63.4% of the total knowledge and skills of diagnosing and treating of influenza, 73.5% of them washed their hands and 63.5% used PPE correctly. The total beds capacity, medical beds capacity and respiratory medical beds capacity would increase 8%, 35% and 128% respectively.
CONCLUSIONThe estimation results could be referenced when planning the pandemic strategy, but the results should be treated objectively when considering the hypothesis and practical situation in this model being used.
Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Disease Outbreaks ; statistics & numerical data ; Female ; Hospital Bed Capacity ; Hospital Planning ; Hospitalization ; statistics & numerical data ; Humans ; Infant ; Infant, Newborn ; Influenza, Human ; epidemiology ; Male ; Middle Aged ; Models, Statistical ; Surge Capacity ; Young Adult
3.A descriptive analysis of injury triage, surge of medical demand, and resource use in an university hospital after 8.12 Tianjin Port Explosion, China.
Guo-Qiang LI ; Shi-Ke HOU ; Xin YU ; Xiang-Tao MENG ; Liang-Liang LIU ; Peng-Bo YAN ; Meng-Na TIAN ; Shao-Lei CHEN ; Hui-Juan HAN
Chinese Journal of Traumatology 2015;18(6):314-319
OBJECTIVEThe 8.12 Tianjin Port Explosion in 2015 caused heavy casualties. Pingjin Hospital, an affiliated college hospital in Tianjin, China participated in the rescue activities. This study aims to analyze the emergency medical response to this event and share experience with trauma physicians to optimize the use of medical resource and reduce mortality of critical patients.
METHODSAs a trauma centre at the accident city, our hospital treated 298 patients. We retrospectively analyzed the data of emergency medical response, including injury triage, injury type, ICU patient flow, and medical resource use.
RESULTSThere were totally 165 deaths, 8 missing, and 797 non-fatal injuries in this explosion. Our hospital treated 298 casualties in two surges of medical demand. The first one appeared at 1 h after explosion when 147 wounded were received and the second one at 4 h when 31 seriously injured patients were received, among whom 29 were transferred from Tianjin Emergency Center which was responsible for the scene injury triage. After reexamination and triage, only 11 cases were defined as critical ill patients. The over-triage rate reached as high as 62.07%. Seventeen patients underwent surgery and 17 patients were admitted to the intensive care unit.
CONCLUSIONSThe present pre-hospital system is incomplete and may induce two surges of medical demand. The first one has a much larger number of casualties than predicted but the injury level is mild; while the second one has less wounded but almost all of them are critical patients. The over-triage rate is high. The hospital emergency response can be improved by an effective re-triage and implementation of a hospital-wide damage control.
Blast Injuries ; mortality ; therapy ; China ; Explosions ; Female ; Health Services Needs and Demand ; Hospitals, University ; organization & administration ; Humans ; Injury Severity Score ; Male ; Mass Casualty Incidents ; Retrospective Studies ; Surge Capacity ; Trauma Centers ; Triage