<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0124-0064</journal-id>
<journal-title><![CDATA[Revista de Salud Pública]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. salud pública]]></abbrev-journal-title>
<issn>0124-0064</issn>
<publisher>
<publisher-name><![CDATA[Instituto de Salud Publica, Facultad de Medicina - Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0124-00642020000200155</article-id>
<article-id pub-id-type="doi">10.15446/rsap.v22n2.87373</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Pandemia de la COVID-19 y las Políticas de Salud Pública en el Perú: marzo-mayo 2020]]></article-title>
<article-title xml:lang="en"><![CDATA[COVID-19 pandemic and Public Health Policies in Peru: March-May 2020]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gonzales-Castillo]]></surname>
<given-names><![CDATA[Jorge R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Varona-Castillo]]></surname>
<given-names><![CDATA[Luis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Domínguez-Morante]]></surname>
<given-names><![CDATA[Moisés G.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ocaña-Gutierrez]]></surname>
<given-names><![CDATA[Víctor R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Pontificia Comillas de Madrid  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional de Piura  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Nacional de Piura  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2020</year>
</pub-date>
<volume>22</volume>
<numero>2</numero>
<fpage>155</fpage>
<lpage>163</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-00642020000200155&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-00642020000200155&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-00642020000200155&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Objetivo El trabajo tiene como objetivo analizar la dinámica del comportamiento de la COVID-19 en el Perú, estimar y evaluar el impacto de la política pública de supresión (cuarentena).  Métodos El modelo epidemiológico SIR y la estimación con el método de Mínimos Cuadrados Ordinarios (MCO).  Resultados Se encontró que el número básico de propagación (Ro) cayó de 6,0 a 3,2 habiéndose reducido en 54% por efecto de la estrategia de supresión, y dos meses después cayó a 1,7. Sin embargo, sigue siendo alto y evidencia que aún continúa en expansión el nivel de infectados, con los efectos sociales y económicos adversos que esta medida implica.  Conclusión La COVID-19 es una enfermedad que crece exponencialmente, por lo cual, la política de salud basada en la estrategia de supresión ha permitido aplanar la curva de contagio, evitando el colapso del Sistema de Salud.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Objective The objective of the study is to analyze the behavior dynamics of COVID-19 in Peru, estimate and evaluate the impact of the suppression public policy (quarantine).  Methods The SIR epidemiological model and the estimation with the ordinary Least Squares (OLS) method.  Results It was found that the basic number of propagation (Ro) fell from 6,0 to 3,2 having been reduced by 54% due to the suppression strategy; and two months later it falls to 1,7. However, it remains high and evidence that the level of those infected continues to expand with its adverse social and economic effects.  Conclusion: COVID-19 is a disease that grows exponentially, and that the health policy based on the suppression strategy has allowed to flatten the contagion curve, thus avoiding the collapse of the Health System.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[COVID-19, cuarentena]]></kwd>
<kwd lng="es"><![CDATA[dinámicas no lineales]]></kwd>
<kwd lng="es"><![CDATA[economía de la salud]]></kwd>
<kwd lng="es"><![CDATA[pandemia (fuente: DeCS, BIREME)]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[quarantine]]></kwd>
<kwd lng="en"><![CDATA[nonlinear dynamics]]></kwd>
<kwd lng="en"><![CDATA[health economics]]></kwd>
<kwd lng="en"><![CDATA[pandemic (source: MeSH, NLM)]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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