scholarly journals Can Major Public Health Emergencies Affect Changes in International Oil Prices?

Author(s):  
An Cheng ◽  
Tonghui Chen ◽  
Guogang Jiang ◽  
Xinru Han

In order to deepen the understanding of the impact of major public health emergencies on the oil market and to enhance the risk response capability, this study analyzed the logical relationship between major public health emergencies and international oil price changes, identified the change points, and calculated the probability of abrupt changes to international oil prices. Based on monthly data during six major public health emergencies from 2009 to 2020, this study built a product partition model. The results show that only the influenza A (H1N1) and COVID-19 pandemics were significant reasons for abrupt changes in international oil prices. Furthermore, the wild poliovirus epidemic, the Ebola epidemic, the Zika epidemic, and the Ebola epidemic in the Democratic Republic of the Congo had limited effects. Overall, the outbreak of a Public Health Emergency of International Concern (PHEIC) in major global economies has a more pronounced impact on international oil prices.

2010 ◽  
Vol 2 (4) ◽  
pp. 323 ◽  
Author(s):  
Daniel Williams ◽  
Annabel Begg ◽  
Kim Burgess ◽  
Michele Hider ◽  
Lance Jennings ◽  
...  

BACKGROUND AND CONTEXT: Reviews of overseas pandemic responses have suggested that stronger links between primary care and other parts of the health sector are required. The influenza A (H1N1) 2009 (‘H1N1 09’) pandemic was the first real test of New Zealand’s pandemic preparedness. ASSESSMENT OF PROBLEM: In the six months from May to October 2009, there were 595 confirmed cases of H1N1 09 in Canterbury, with 187 hospitalisations and three deaths. This paper describes the way a range of Canterbury agencies worked together in a co-ordinated health-led response aimed at minimising the impact of H1N1 09 in the community and maintaining effective health care services for both influenza and non-influenza patients. STRATEGIES FOR IMPROVEMENT: Key strategies included sector-wide response co-ordination, intelligence and communications, a combined public health/primary care response during the ‘containment’ phase, and universal red/green streaming supported by dedicated ’flu centres and an 0800 call centre during the ‘manage it’ phase. LESSONS: Despite the considerable impact of the H1N1 09 virus in Canterbury, health care services were not overwhelmed. The key lesson learned from the Canterbury H1N1 09 response has been the importance of preparing and working together across the sector. KEYWORDS: Influenza, human; pandemic; primary health care; public health; mass media; civil defence


2020 ◽  
Vol 25 (25) ◽  
Author(s):  
Karina A Top ◽  
Kristine Macartney ◽  
Julie A Bettinger ◽  
Ben Tan ◽  
Christopher C Blyth ◽  
...  

Sentinel surveillance of acute hospitalisations in response to infectious disease emergencies such as the 2009 influenza A(H1N1)pdm09 pandemic is well described, but recognition of its potential to supplement routine public health surveillance and provide scalability for emergency responses has been limited. We summarise the achievements of two national paediatric hospital surveillance networks relevant to vaccine programmes and emerging infectious diseases in Canada (Canadian Immunization Monitoring Program Active; IMPACT from 1991) and Australia (Paediatric Active Enhanced Disease Surveillance; PAEDS from 2007) and discuss opportunities and challenges in applying their model to other contexts. Both networks were established to enhance capacity to measure vaccine preventable disease burden, vaccine programme impact, and safety, with their scope occasionally being increased with emerging infectious diseases’ surveillance. Their active surveillance has increased data accuracy and utility for syndromic conditions (e.g. encephalitis), pathogen-specific diseases (e.g. pertussis, rotavirus, influenza), and adverse events following immunisation (e.g. febrile seizure), enabled correlation of biological specimens with clinical context and supported responses to emerging infections (e.g. pandemic influenza, parechovirus, COVID-19). The demonstrated long-term value of continuous, rather than incident-related, operation of these networks in strengthening routine surveillance, bridging research gaps, and providing scalable public health response, supports their applicability to other countries.


2011 ◽  
Vol 16 (7) ◽  
Author(s):  
L Vinck ◽  
L Isken ◽  
M Hooiveld ◽  
M C Trompenaars ◽  
J IJzermans ◽  
...  

A cross-sectional study was undertaken to analyse the impact of the 2009 influenza A(H1N1) pandemic on frontline public health workers in the Netherlands and to consider its implications for future pandemics. A structured, self-administered questionnaire was made available online (26 March to 26 May 2010) for frontline public health workers employed by the communicable disease departments of the public health services in the Netherlands (n=302). A total of 166 questionnaires (55%) were completed. The majority of respondents reported an increased workload, perceived as too busy (117 respondents, 70.5%) or extreme (13 respondents, 7.8%). Most respondents were not anxious about becoming infected (only seven were regularly concerned). The overall compliance with the control measures was good. The case definition was strictly applied by 110 of the 166 respondents (66%); 56 of 141 (39.7%) consistently consulted the Preparedness and Response Unit within a centralised assessment system, while 68 of 141 (48.2%) consulted the unit only at the beginning of the pandemic. Of 145 respondents with available data, 128 (88.3%) always used personal protective equipment. Reported adherence to the advice to discuss the various isolation measures with patients and their contacts was between 71% and 98.7%. Our study shows that the surveyed frontline public health workers considered the workload to be high during the first 3.5 months of the pandemic and their level of anxiety about becoming infected was reported to be low. During the pandemic, these workers were able to accommodate what they considered to be an excessive workload, even though initially their assignments were unfamiliar to them.


2013 ◽  
Vol 21 (4) ◽  
pp. 998-1004 ◽  
Author(s):  
Dirciara Barañano Souza ◽  
Clarice Maria Dall'Agnol

AIM: to comprehend the social representations of public health emergencies among managers who experienced the Influenza A (H1N1) Pandemic of 2009. METHOD: a qualitative case study, with its theoretical and methodological framework based on the Theory of Social Representations. The data was obtained through the techniques of free association and semi-structured interviews, applied individually to managers who worked in different positions of the hierarchical management structure of the institution during the pandemic emergency, a total of 30 participants. RESULTS: thematic content analysis resulted in the following categories: vulnerability, health protection, neglect - gray areas of the public sphere, and integrality. The social representations of public health emergencies attest to continuities that transit the overvalorization of negative discourses linked to the health/education public space, naturalization of the substantial character of the epidemic, and normative managerial action. However, the defense of ongoing education as a necessity associated with emergency management revealed possibilities for change in the technical-scientific perception of the management. CONCLUSIONS: to understand healthcare/nursing workers as political beings, assuming responsibilities in the areas of the macro and micro policies of the State, the university hospitals and the work teams, is a pathway that is emerging for the management of emergencies.


Eye ◽  
2021 ◽  
Author(s):  
Ashwin Venkatesh ◽  
Ravi Patel ◽  
Simran Goyal ◽  
Timothy Rajaratnam ◽  
Anant Sharma ◽  
...  

AbstractEmerging infectious diseases (EIDs) are an increasing threat to public health on a global scale. In recent times, the most prominent outbreaks have constituted RNA viruses, spreading via droplets (COVID-19 and Influenza A H1N1), directly between humans (Ebola and Marburg), via arthropod vectors (Dengue, Zika, West Nile, Chikungunya, Crimean Congo) and zoonotically (Lassa fever, Nipah, Rift Valley fever, Hantaviruses). However, specific approved antiviral therapies and vaccine availability are scarce, and public health measures remain critical. Patients can present with a spectrum of ocular manifestations. Emerging infectious diseases should therefore be considered in the differential diagnosis of ocular inflammatory conditions in patients inhabiting or returning from endemic territories, and more general vigilance is advisable in the context of a global pandemic. Eye specialists are in a position to facilitate swift diagnosis, improve clinical outcomes, and contribute to wider public health efforts during outbreaks. This article reviews those emerging viral diseases associated with reports of ocular manifestations and summarizes details pertinent to practicing eye specialists.


Author(s):  
Jeff Nawrocki ◽  
Katherine Olin ◽  
Martin C Holdrege ◽  
Joel Hartsell ◽  
Lindsay Meyers ◽  
...  

Abstract Background The initial focus of the US public health response to COVID-19 was the implementation of numerous social distancing policies. While COVID-19 was the impetus for imposing these policies, it is not the only respiratory disease affected by their implementation. This study aimed to assess the impact of social distancing policies on non-SARS-CoV-2 respiratory pathogens typically circulating across multiple US states. Methods Linear mixed-effect models were implemented to explore the effects of five social distancing policies on non-SARS-CoV-2 respiratory pathogens across nine states from January 1 through May 1, 2020. The observed 2020 pathogen detection rates were compared week-by-week to historical rates to determine when the detection rates were different. Results Model results indicate that several social distancing policies were associated with a reduction in total detection rate, by nearly 15%. Policies were associated with decreases in pathogen circulation of human rhinovirus/enterovirus and human metapneumovirus, as well as influenza A, which typically decrease after winter. Parainfluenza viruses failed to circulate at historical levels during the spring. Total detection rate in April 2020 was 35% less than historical average. Many of the pathogens driving this difference fell below historical detection rate ranges within two weeks of initial policy implementation. Conclusion This analysis investigated the effect of multiple social distancing policies implemented to reduce transmission of SARS-CoV-2 on non-SARS-CoV-2 respiratory pathogens. These findings suggest that social distancing policies may be used as an impactful public health tool to reduce communicable respiratory illness.


2010 ◽  
Vol 45 (12) ◽  
pp. 1756-1757 ◽  
Author(s):  
P Patel ◽  
K Sweiss ◽  
S Shatavi ◽  
D Peace ◽  
N Clark ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
C E Chronaki ◽  
A Miglietta

Abstract Evidence-based decision-making is central to public health. Implementing evidence-informed actions is most challenging during a public health emergency as in an epidemic, when time is limited, scientific uncertainties and political pressures tend to be high, and reliable data is typically lacking. The process of including data for preparedness and training for evidence-based decision making in public health emergencies is not systematic and is complicated by many barriers as the absence of common digital tools and approaches for resource planning and update of response plans. Health Technology Assessment (HTA) is used with the aim to improve the quality and efficiency of public health interventions and to make healthcare systems more sustainable. Many of today's public health crises are also cross-border, and countries need to collaborate in a systematic and standardized way in order to enhance interoperability to share data and to plan coordinated response. Digital health tools have an important role to play in this setting, facilitating use of knowledge about the population that can potentially affected by the crisis within and across regional and national borders. To strengthen the impact of scientific evidence on decision-making for public health emergency preparedness and response, it is necessary to better define and align mechanisms through which interdisciplinary evidence feeds into decision-making processes during public health emergencies and the context in which these mechanisms operate. Activities and policy development in the HTA network could inform this process. The objective of this presentation is to identify barriers for evidence-based decision making during public health emergencies and discuss how standardization in digital health and HTA processes may help overcome these barriers leading to more effective coordinated and evidence-based public health emergency response.


2021 ◽  
Vol 47 (04) ◽  
pp. 202-208
Author(s):  
Kevin Zhang ◽  
Avika Misra ◽  
Patrick J Kim ◽  
Seyed M Moghadas ◽  
Joanne M Langley ◽  
...  

Background: Public health measures, such as physical distancing and closure of schools and non-essential services, were rapidly implemented in Canada to interrupt the spread of the coronavirus disease 2019 (COVID-19). We sought to investigate the impact of mitigation measures during the spring wave of COVID-19 on the incidence of other laboratory-confirmed respiratory viruses in Hamilton, Ontario. Methods: All nasopharyngeal swab specimens (n=57,503) submitted for routine respiratory virus testing at a regional laboratory serving all acute-care hospitals in Hamilton between January 2010 and June 2020 were reviewed. Testing for influenza A and B, respiratory syncytial virus, human metapneumovirus, parainfluenza I–III, adenovirus, and rhinovirus/enterovirus was done routinely using a laboratory-developed polymerase chain reaction multiplex respiratory viral panel. A Bayesian linear regression model was used to determine the trend of positivity rates of all influenza samples for the first 26 weeks of each year from 2010 to 2019. The mean positivity rate of Bayesian inference was compared with the weekly reported positivity rate of influenza samples in 2020. Results: The positivity rate of influenza in 2020 diminished sharply following the population-wide implementation of COVID-19 interventions. Weeks 12–26 reported 0% positivity for influenza, with the exception of 0.1% reported in week 13. Conclusion: Public health measures implemented during the COVID-19 pandemic were associated with a reduced incidence of other respiratory viruses and should be considered to mitigate severe seasonal influenza and other respiratory virus pandemics.


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