A new exponential estimators for analysis of COVID ‐19 risk

Author:

Zaman Tolga1ORCID,Sagir Murat2,Şahin Mehmet3ORCID

Affiliation:

1. Department of Statistics Çankırı Karatekin University Çankırı Turkey

2. Department of Economics Iskenderun Technical University Iskenderun Turkey

3. Department of Industrial Engineering Iskenderun Technical University Iskenderun Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference41 articles.

1. World Health Organization.Virtual press conference on COVID‐19; March 11 2020. Accessed April 20 2020.https://www.who.int/docs/default‐source/coronaviruse/transcripts/who‐audio‐emergencies‐coronavirus‐press‐conference‐full‐and‐final

2. World Health Organization.WHO coronavirus disease (COVID‐19) dashboard. Accessed November 30 2020.https://covid19.who.int/

3. A predictive model and country risk assessment for COVID-19: An application of the Limited Failure Population concept

4. Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study

5. Coronavirus disease 2019 (COVID-19) pandemic: how countries should build more resilient health systems for preparedness and response

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