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            <record>
              <language>eng</language>
              <publisher>Selçuk Üniversitesi Veteriner Fakültesi</publisher>
              <journalTitle>Eurasian Journal of Veterinary Sciences</journalTitle>
              <issn>1309-6958</issn>
              <eissn>2146-1953</eissn>
              <publicationDate>2020-09-01</publicationDate>
              <volume>36</volume>
              <issue>5</issue>
              <startPage>142</startPage>
              <endPage>155</endPage>
              <doi></doi>
              <publisherRecordId>1325</publisherRecordId>
              <documentType>article</documentType>
              <title language="eng">Analyzing covid-19 outbreak for turkey and eight country with curve estimation models, box-jenkins (arima), brown linear exponential smoothing method, autoregressive distributed lag (ardl) and seir models</title>
                <authors>
                              <author>
                                <name>Mustafa Agah Tekindal</name>
                                <affiliationId>1</affiliationId>
                              </author>
                              <author>
                                <name> Harun Yonar</name>
                                <affiliationId>2</affiliationId>
                              </author>
                              <author>
                                <name> Aynur Yonar</name>
                                <affiliationId>3</affiliationId>
                              </author>
                              <author>
                                <name> Melike Tekindal</name>
                                <affiliationId>4</affiliationId>
                              </author>
                              <author>
                                <name> Mustafa Bahadır Çevrimli</name>
                                <affiliationId>5</affiliationId>
                              </author>
                              <author>
                                <name> Hasan Alkan</name>
                                <affiliationId>6</affiliationId>
                              </author>
                              <author>
                                <name> Zekeriya Safa İnanç</name>
                                <affiliationId>7</affiliationId>
                              </author>
                              <author>
                                <name> Burak Mat</name>
                                <affiliationId>5</affiliationId>
                              </author>
                      </authors>
              <affiliationsList><affiliationName affiliationId="1">Izmir Katip Celebi University, Medicine Faculty, Department of Biostatistics, Izmir, Turkey</affiliationName><affiliationName affiliationId="1"></affiliationName><affiliationName affiliationId="3">Selcuk University, Science Faculty, Deparment of Statistics, Konya, Turkey</affiliationName><affiliationName affiliationId="4">Izmir Katip Celebi University, Health Sciences Faculty, Deparment of Social Work, Izmir, Turkey</affiliationName><affiliationName affiliationId="5">Selçuk University, Veterinary Faculty, Deparment of Animal Health Economics and Management, Konya, Turkey</affiliationName><affiliationName affiliationId="6">Selçuk University, Veterinary Faculty, Deparment of Obstetrics and Gynaecology, Konya, Turkey</affiliationName><affiliationName affiliationId="7">Selçuk University, Veterinary Faculty, Deparment of Animal Nutrition and Nutritional Diseases, Konya, Turkey</affiliationName></affiliationsList><abstract language="eng">&lt;b&gt;Aim: &lt;/b&gt;This study is conducted to inform communities and governments about
the spread of the COVID-19 pandemic in selected countries: Turkey, Germany,
the United Kingdom, France, Italy, Russian, Canada, and Japan.&lt;p&gt;
&lt;b&gt;Materials and Methods: &lt;/b&gt;For this purpose, the numbers of the COVID-19 epidemic
after the 100th case up to 7/19/2020 for selected countries have been
estimated by using Curve Estimation Models, Box-Jenkins (ARIMA), Brown Linear
Exponential Smoothing Method, Autoregressive Distributed Lag (ARDL)
and SEIR Models.&lt;p&gt;
&lt;b&gt;Results:&lt;/b&gt; In the evaluations of the ARDL and SEIR models established, it is determined
that France and Italy have high pandemic growth rates; while Canada
has a low pandemic growth rate. It has also observed that the turning
point of the pandemic occurred on the 72nd day. If there is no change in the
outbreak and governments continue with the same strategies, it is predicted
that the epidemic will begin again in early October 2020 (from September 21
to November 10) and will be effective for an average of 155 days (between 145
and 168 days). It is seen that the observed and predicted daily cumulative new
cases are consistent.&lt;p&gt;
&lt;b&gt;Conclusion:&lt;/b&gt; As a result, it can be said that the models used in this study wellcharacterized
outbreak of the COVID-19 in the eight major Western countries
and Turkey.</abstract>
              <fullTextUrl format="pdf">http://eurasianjvetsci.org/pdf.php3?id=1325</fullTextUrl>
              <keywords><keyword>COVID-19</keyword><keyword>Curve Estimation Models</keyword><keyword>ARIMA</keyword><keyword>Exponential Smoothing Methods</keyword><keyword>ARDL</keyword><keyword>SEIR</keyword><keyword>Box-Jenkins Models</keyword>
                  </keywords>
            </record></records>