Abstract
Since the first case of COVID-19 in Turkey, there has been a lingering question as elsewhere in the world: "When will or should the government impose severe restrictions to protect public health?" From a public health perspective, there is value in developing a model to support proactive implementation of social policies. This study aimed to show the benefits of using a novel econometric test (the Generalized Supremum Augmented Dickey-Fuller Test) to detect explosive behavior (bubbles) in Turkey's daily COVID-19 cases and deaths. Results from the analysis demonstrated a link between identified explosive episodes and critical public health decisions, especially in the case of daily new deaths. They also showed a negative relationship between the formation of exuberant behavior during the pandemic and the vaccination rate. Public health policymakers can incorporate this method into their arsenal to evaluate the overall health situation in combating the pandemic and respond accordingly. Furthermore, among the lessons learned from the Turkish experience is the importance of having a coronavirus scientific advisory board in the decision-making process and the ability to promptly implement policy measures.JEL Codes: C22, C58, I10, I18Understanding COVID-19 Spikes and Public Health Strategies: Key Takeaways for Better ManagementSince the first COVID-19 case in Turkey, a crucial question has been when the government should enforce strict measures to safeguard public health. This study aimed to use an advanced statistical test to identify unusual patterns (bubbles) in Turkey's daily COVID-19 cases and deaths. The results revealed a connection between these patterns and critical health decisions, especially regarding daily new deaths. Interestingly, there was a negative link between excessive behavior during the pandemic and the vaccination rate. This method could help public health policymakers assess the overall situation and respond effectively. The study also highlighted the importance of a scientific advisory board in decision-making and the swift implementation of policy measures based on lessons from the Turkish experience.
Original language | English |
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Article number | 21582440231224772 |
Number of pages | 11 |
Journal | SAGE Open |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2024 |
Keywords
- Bubble
- Covid-19
- Explosive behavior
- Information processing
- Public health management
- Public policy
- Time series