Emergency Management of TB Emergency Public Health Events

Author(s):  
Wei-ye Yu ◽  
Xu-jun Guo ◽  
Sheng-yuan Liu
2022 ◽  
Author(s):  
Bingjie Lu ◽  
Lilong Zhu

Abstract Public health events endanger the citizen health, economic development, social stability and national security seriously. Emergency management requires the joint participation of multiple parties. Therefore, we construct an evolutionary game model involving government department, pharmaceutical enterprises, citizens and new media, analyze the evolutionary stability, solve the stable equilibrium points using the Lyapunov first method and conduct the simulation analysis with Matlab 2020b. The results show that, firstly, the greater the probability of citizens making true evaluation, the more inclined the government department is to strictly implement the emergency management system, and when true evaluation causes the government department to bear more punishment, the probability that the government department doesn't strictly implement is smaller; secondly, when the probability of citizens making true evaluation decreases, new media are more inclined to report after verification, and when new media lose more pageview value or should be punished more for reporting without verification, the probability that they report without verification is smaller; thirdly, the greater the probability of citizens making false evaluation, the less enthusiasm of pharmaceutical enterprises to participate in emergency management, which indicates that false evaluation is detrimental to prompt pharmaceutical enterprises to participate; what's more, the greater the probability of new media reporting after verification, the greater the probability of pharmaceutical enterprises actively participating, which shows that new media's verification to citizens' evaluation is beneficial to emergency management. So, this paper provides suggestions for the emergency management and supervision.


Author(s):  
Alexander Siedschlag ◽  
Tiangeng Lu ◽  
Andrea Jerković ◽  
Weston Kensinger

Abstract This article presents and discusses, in the new context of COVID-19, findings from a tabletop exercise on response and resilience in the ongoing opioid crisis in Pennsylvania. The exercise was organized by [identifying information removed] and held at the Pennsylvania Emergency Management Agency (PEMA), in further collaboration with the Governor’s Office of Homeland Security, the Pennsylvania Department of Health, and with the participation of several additional agencies and institutions. It addressed first-responder and whole-community response and resilience to the ongoing opioid crisis. More than 50 experts participated in the one-day program that involved state and local agencies, first-responder organizations, as well as academia in a discussion about effectuating comprehensive response to overdose incidents. Participant experts represented a wide array of backgrounds, including state and local law enforcement agencies; emergency medical technicians; public health and health care professionals; and scholars from the fields of law, security studies, public policy, and public health, among other relevant areas. Participants addressed specific challenges, including resource sharing among responders; capacity-building for long-term recovery; effective integration of non-traditional partners, such as spontaneous volunteers and donors; and public education and outreach to improve prevention. The exercise aimed to strengthen the whole-community approach to emergency response.


2016 ◽  
Vol 22 (4) ◽  
pp. 720-722 ◽  
Author(s):  
Trong T. Ao ◽  
Mahmudur Rahman ◽  
Farhana Haque ◽  
Apurba Chakraborty ◽  
M. Jahangir Hossain ◽  
...  

2014 ◽  
Vol 129 (6_suppl4) ◽  
pp. 87-95 ◽  
Author(s):  
Anne L. Dunlop ◽  
Kristi M. Logue ◽  
Alexander P. Isakov

Objective. Using comparative analysis, we examined the factors that influence the engagement of academic institutions in community disaster response. Methods. We identified colleges and universities located in counties affected by four Federal Emergency Management Agency-declared disasters (Kentucky ice storms, Hurricanes Ike and Gustav, California wildfires, and the Columbia space shuttle disintegration) and performed key informant interviews with officials from public health, emergency management, and academic institutions in those counties. We used a comparative case study approach to explore particular resources provided by academic institutions, processes for engagement, and reasons for engagement or lack thereof in the community disaster response. Results. Academic institutions contribute a broad range of resources to community disaster response. Their involvement and the extent of their engagement is variable and influenced by ( 1) their resources, ( 2) preexisting relationships with public health and emergency management organizations, ( 3) the structure and organizational placement of the school's disaster planning and response office, and ( 4) perceptions of liability and lines of authority. Facilitators of engagement include ( 1) the availability of faculty expertise or special training programs, ( 2) academic staff presence on public health and emergency management planning boards, ( 3) faculty contracts and student practica, ( 4) incident command system or emergency operations training of academic staff, and ( 5) the existence of mutual aid or memoranda of agreements. Conclusion. While a range of relationships exist between academic institutions that engage with public health and emergency management agencies in community disaster response, recurrent win-win themes include co-appointed faculty and staff; field experience opportunities for students; and shared planning and training for academic, public health, and emergency management personnel.


2021 ◽  
Author(s):  
Amanda MY Chu ◽  
Jacky NL Chan ◽  
Jenny TY Tsang ◽  
Agnes Tiwari ◽  
Mike KP So

UNSTRUCTURED Communicable diseases including COVID-19 pose a major threat to public health worldwide. To curb the spread of communicable diseases effectively, timely surveillance and prediction of the risk of pandemics are essential. The aim of this study is to analyze free and publicly available data to construct useful travel data records for network statistics other than common descriptive statistics. This study describes analytical findings of time-series plots and spatial-temporal maps to illustrate or visualize pandemic connectedness. We analyzed data retrieved from the web-based Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, which contains up-to-date and comprehensive meta-information on civil flights from 193 national governments in accordance with the airport, country, city, latitude, and the longitude of flight origin and the destination. We used the database to visualize pandemic connectedness through the workflow of travel data collection, network construction, data aggregation, travel statistics calculation, and visualization with time-series plots and spatial-temporal maps. We observed similar patterns in the time-series plots of worldwide daily flights from January to early-March of 2019 and 2020. A sharp reduction in the number of daily flights recorded in mid-March 2020 was likely related to large-scale air travel restrictions owing to the COVID-19 pandemic. The levels of connectedness between places are strong indicators of the risk of a pandemic. Since the initial reports of COVID-19 cases worldwide, a high network density and reciprocity in early-March 2020 served as early signals of the COVID-19 pandemic and were associated with the rapid increase in COVID-19 cases in mid-March 2020. The spatial-temporal map of connectedness in Europe on March 13, 2020, shows the highest level of connectedness among European countries, which reflected severe outbreaks of COVID-19 in late March and early April of 2020. As a quality control measure, we used the aggregated numbers of international flights from April to October 2020 to compare the number of international flights officially reported by the International Civil Aviation Organization with the data collected from the Collaborative Arrangement for the Prevention and Management of Public Health Events in Civil Aviation dashboard, and we observed high consistency between the 2 data sets. The flexible design of the database provides users access to network connectedness at different periods, places, and spatial levels through various network statistics calculation methods in accordance with their needs. The analysis can facilitate early recognition of the risk of a current communicable disease pandemic and newly emerging communicable diseases in the future.


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