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1.
Policy Styles and Trust in the Age of Pandemics: Global Threat, National Responses ; : 59-78, 2022.
Article in English | Scopus | ID: covidwho-2144411

ABSTRACT

This chapter examines the structural and behavioral dynamics in Turkey's policymaking to test the argument that policy style and political trust interact to determine Turkey's response to the COVID-19 pandemic. As the main focus of analysis is Turkey's response to the pandemic, this section also gives a frontal place to Turkish health system including recent health sector reforms. Turkey's response to the pandemic includes a combination of preemptive and restrictive measures. Turkey's administrative policy style and low trust in government account for why the country adopted a top-down centralized response to the COVID-19 pandemic. The World Health Organization's Regional Director for Europe, Dr. Hans Kluge also framed Turkey's response to the pandemic as a success, mentioning the importance of Turkey's vaccine development efforts as well as the provision of healthcare service to asylum seekers. Turkey inherited the legacy of the Ottoman state that had a social structure based on the conspicuous distinction between the rulers and the ruled. © 2022 selection and editorial matter, Julie A. Luft and M. Gail Jones.

2.
Public Health ; 185: 364-367, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-701695

ABSTRACT

OBJECTIVES: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)-infected people in countries. STUDY DESIGN: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19-infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. METHODS: To analyze the variation in COVID-19-infected people in countries, we used negative binomial regression analysis. RESULTS: Our findings suggest a positive relationship between higher volume of airline passenger traffic carried in a country and higher numbers of patients with COVID-19. We further found that countries which have a higher number of airports are associated with higher number of COVID-19 cases. Schengen countries, countries which have higher population density, and higher percentage of elderly population are also found to be more likely to have more COVID-19 cases than other countries. CONCLUSIONS: The article brings a novel insight into the COVID-19 pandemic from a human mobility perspective. Future research should assess the impacts of the scale of sea/bus/car travel on the epidemic. The findings of this article are relevant for public health authorities, community and health service providers, as well as policy-makers.


Subject(s)
Coronavirus Infections/epidemiology , Global Health/statistics & numerical data , Pneumonia, Viral/epidemiology , Travel/statistics & numerical data , Airports/statistics & numerical data , Binomial Distribution , COVID-19 , Humans , Pandemics , Regression Analysis
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