Measuring the Attitudes of Governmental Policies and the Public Towards the COVID-19 Pandemic

Measuring the Attitudes of Governmental Policies and the Public Towards the COVID-19 Pandemic

Gökçe Karahan Adalı
DOI: 10.4018/978-1-7998-8674-7.ch009
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Abstract

This study aims to measure the effect of the preventive policies on public during the COVID-19 pandemic as well as measuring the public's trust in the government. The study examines the determinants of public trust in governments and the associations between the preventive measures. It is also aimed to determine the protective measures that governments prefer to implement together by using association rules of data mining algorithms. By this means, double and triple action packages are presented. This study finds that basic characteristics such as education, health, and age are among the most basic determinants of trust in governments during the pandemic. The trust in government and opinions that measures taken are sufficient decreased as the education level increased. Considering the age criteria, this situation is the opposite. It is observed that women followed the preventative policies more strictly than men. It is also observed that public trust in governments is directly proportional to the development levels of countries.
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Introduction

The worldwide coronavirus pandemic (COVID-19) causing severe acute respiratory syndrome was first seen in Wuhan in Hubei Province of China in December 2019. The virus spread to the whole world as the third coronavirus pandemic after SARS (severe acute respiratory syndrome) and MERS (Middle East respiratory syndrome) outbreaks, which are also induced by coronaviruses. The World Health Organization (WHO) declared the outbreak as a Public Health Emergency of International Concern in January 2020 and as a pandemic in March 2020, when the first case was observed in Turkey.

A disease or medical condition that leads to lots of deaths cannot be qualified as a pandemic as it also needs to be communicable. For instance, cancer is a disease that causes a large number of deaths in humans, but the emergence of cancer cases is not called a pandemic as it is not communicable (Wu, McGoogan, 2020). A pandemic is defined as an epidemic that has spread across a large region, for instance multiple continents or worldwide, and usually affects several individuals (WHO, 2020).

According to WHO, a pandemic is considered to have emerged only when it meets the three following conditions:

  • The emergence of a disease that the population has not been exposed to before,

  • The disease spreads easily and constantly.

  • An epidemic that spreads globally.

As of May 30 2021, 236 countries, areas or territories around the world have reported a total of 169.597.415 confirmed cases of COVID-19 including 3.0530.582deaths. As of May 26, 2021, a total of 1.546.316.352 vaccine doses have been administered (WHO, 2021).

The COVID-19 pandemic puts countries and their governments in an unprecedented situation never experienced before (Rieger & Wang, 2020). The ongoing spread of the coronavirus around the world has prompted many countries to take various protective measures to manage the crisis with the most effective way. They implement preventive policies depending on the situation of the pandemic. Several governments are currently implementing these measures to decrease the spread of COVID-19 (covid19-survey.org).

Some of these measures disrupt the everyday life substantially. These measures can be listed as follows; lockdowns in cities, closures of schools and workplaces, transition to online learning, cancellation of public events, restrictions on national movements, reducing social mobility and economic activity to the minimum level possible, working from home to slow down the spread of the infections (Hale et al., 2020)

Public trust is a fundamental requirement to ensure good governance in all political systems. According to the literature review, there are various determinants for public trust in governments such as health conditions of people, income and education, freedom of press. Public trust in government especially in times of crisis is very important for handling these unpredictable events (Gozgor, 2020). As public trust increases, governments can govern more effectively (Cooper et al. 2008).

This study aims to measure the effect of the preventive policies on public as well as measuring the public's trust in the government. The study examines the determinants of public trust in governments during COVID-19 and the associations between them. The study also aims to determine the protective measures that governments prefer by using association rules of data mining algorithms. By this means, double and triple action packages can be presented to countries.

Key Terms in this Chapter

Data Mining: Is an interdisciplinary area that includes fields such as artificial intelligence, database, statistics, machine learning, developed to discover hidden patterns, and meaningful relationships from large databases.

Association Rules: Is a rule-based machine learning method for discovering interesting relations between variables in large databases.

Confidence: Is a percentage value for association rule that shows how frequently the rule head occurs among all the groups containing the rule body.

Apriori: An algorithm for association methods of data mining and association rule learning over relational databases.

Support: Is an indication of association rule that shows how frequently the items appear in the data. The support of a rule indicates how frequently the items in the rule occur together.

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