<?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>S0124-00642020000600609</article-id>
<article-id pub-id-type="doi">10.15446/rsap.v22n6.78985</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Analítica de datos: incidencia de la contaminación ambiental en la salud pública en Medellín (Colombia)]]></article-title>
<article-title xml:lang="en"><![CDATA[Data Analytics: incidence of air pollution on public health in Medellin, Colombia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Parra-Sánchez]]></surname>
<given-names><![CDATA[Juan S.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Oviedo-Carrascal]]></surname>
<given-names><![CDATA[Ana I.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Amaya-Fernández]]></surname>
<given-names><![CDATA[Ferney O.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Pontificia Bolivariana  ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Pontificia Bolivariana  ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Pontificia Bolivariana  ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>22</volume>
<numero>6</numero>
<fpage>609</fpage>
<lpage>617</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-00642020000600609&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-00642020000600609&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-00642020000600609&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Objetivo Analizar el impacto de la contaminación del aire por material particulado PM2,5 y su relación con el número de asistencias a entidades de salud por enfermedades respiratorias por medio de analítica de datos.  Métodos Se analizaron datos del Área Metropolitana de Medellín, Colombia, ciudad ubicada en un valle estrecho densamente poblado e industrializado y que ha presentado episodios críticos de contaminación en los últimos años. Se analizaron tres fuentes de datos: datos meteorológicos aportados por el SIATA (Sistema de Alerta Temprana de Medellín y el Valle de Aburrá); datos de contaminación por material particulado PM2,5 aportados por SIATA; y reportes de los RIPS (Registros Individuales de Prestación de Servicios de Salud) aportados por la Secretaría de Salud.  Resultados Se evidenció la relación entre la concentración de PM2,5 con las asistencias médicas por los diagnósticos de IRA, EPOC y asma. En un episodio crítico de contaminación por PM2,5, se encontraron los siguientes retardos en la atención médica: entre 0 y 2 días para el IRA, 0 y 7 días para el EPOC y 0 y 5 días para el asma.  Discusión Se encontraron coeficientes de correlación que evidencian la asociación de la concentración de PM2,5 con las asistencias por los diagnósticos de IRA, EPOC y asma. La mayor correlación entre las tres morbilidades se presentó para el asma. La variable meteorológica de mayor correlación con la variable objetivo es la temperatura del aire para el caso de EPOC y asma. En el caso de IRA, la variable con mayor correlación es la velocidad del viento. Por otro lado, el día de la semana es una variable de gran importancia a la hora de realizar un estudio de atenciones por enfermedades.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Objective To analyze the impact of air pollution by PM2,5 particulate matter and its relationship with the number of attendances to health entities for respiratory diseases through data analytics.  Methods Data from the Metropolitan Area of Medellín, Colombia, a city located in a densely populated and industrialized narrow valley and that has presented critical episodes of contamination in recent years, were analyzed. Three data sources were analyzed: meteorological data provided by SIATA (Early Warning System of Medellín and the Aburra Valley), PM2,5 particulate matter contamination data provided by SIATA, and RIPS reports (Individual Registers for the Provision of Health Services) provided by the health department.  Results The relationship between the concentration of PM2,5 and medical care for the diagnoses of ARI, COPD and asthma was evidenced. In a critical episode of PM2,5 contamination, the following delays in medical care were found: between 0-2 days for IRA, 0-7 days for COPD, and 0-5 days for asthma.  Discussion Correlation coefficients were found that show the association of the concentration of PM2,5 with the attendances for the diagnoses of ARI, COPD, and asthma. The highest correlation between the three morbidities was found for asthma. The meteorological variable with the highest correlation with the objective variable is air temperature in the case of COPD and asthma. In the case of IRA, the variable with the highest correlation is wind speed. On the other hand, the day of the week is a variable of great importance when carrying out a study of care for diseases.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Análisis de datos]]></kwd>
<kwd lng="es"><![CDATA[ciencia de los datos]]></kwd>
<kwd lng="es"><![CDATA[enfermedades respiratorias]]></kwd>
<kwd lng="es"><![CDATA[contaminación del aire (fuente: DeCS, BIREME)]]></kwd>
<kwd lng="en"><![CDATA[Analysis of data]]></kwd>
<kwd lng="en"><![CDATA[data science]]></kwd>
<kwd lng="en"><![CDATA[respiratory diseases]]></kwd>
<kwd lng="en"><![CDATA[air pollution (source: MeSH, NLM)]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<collab>Naciones Unidas</collab>
<source><![CDATA[World Urbanization Prospects: The 2014 Revision]]></source>
<year>2014</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[ONU]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Desarkar]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Das]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Smart Air Pollution Analytics Framework]]></article-title>
<source><![CDATA[Information and Communication Technology]]></source>
<year>2018</year>
<volume>625</volume>
<page-range>197-205</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="book">
<collab>The Economist</collab>
<source><![CDATA[Airborne particles cause more than 3m early deaths a year]]></source>
<year>2017</year>
<publisher-name><![CDATA[The Economist]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="book">
<collab>Organización Mundial de la Salud</collab>
<source><![CDATA[Lesiones causadas por el tránsito]]></source>
<year>2017</year>
<publisher-loc><![CDATA[Geneva ]]></publisher-loc>
<publisher-name><![CDATA[OMS]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Van der Wall]]></surname>
<given-names><![CDATA[EE]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Air pollution: 6.6 million premature deaths in 2050!]]></article-title>
<source><![CDATA[Neth Heart J]]></source>
<year>2015</year>
<volume>23</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>557-8</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="book">
<collab>El Mundo</collab>
<source><![CDATA[Valle de Aburrá registra el mayor número de muertes por contaminación]]></source>
<year>2017</year>
<publisher-name><![CDATA[El Mundo]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="book">
<collab>Universidad del Valle</collab>
<source><![CDATA[tención de males por calidad del aire cuesta $ 1,6 billones al año]]></source>
<year>2017</year>
<publisher-name><![CDATA[Universidad del Valle, Facultad de Salud]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Souza]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Figueredo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Cacho]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Araújo]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Prolo]]></surname>
<given-names><![CDATA[CA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using big data and real-time analytics to support smart city initiatives]]></article-title>
<source><![CDATA[IFAC-Paper-sOnLine]]></source>
<year>2016</year>
<volume>49</volume>
<numero>30</numero>
<issue>30</issue>
<page-range>257-62</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Andrienko]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Gunopulos]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Ioannidis]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Kalogeraki]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Katakis]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Morik]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mining Urban Data (Part C)]]></article-title>
<source><![CDATA[Information Systems]]></source>
<year>2017</year>
<volume>64</volume>
<page-range>219-20</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bellinger]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Mohomed Jabbar]]></surname>
<given-names><![CDATA[MS]]></given-names>
</name>
<name>
<surname><![CDATA[Zafane]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Osornio-Vargas]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A systematic review of data mining and machine learning for air pollution epidemiology]]></article-title>
<source><![CDATA[BMC Public Health]]></source>
<year>2017</year>
<volume>17</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>907</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chapman]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Clinton]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Keber]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Khabaza]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Reinartz]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Shearer]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Wirth]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<collab>SPSS</collab>
<source><![CDATA[CRISP-DM 1.0 Step by step BIguide]]></source>
<year>2000</year>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="book">
<collab>Área Metropolitana del Valle de Aburrá</collab>
<source><![CDATA[Acuerdo Metropolitano N.° 8 de 25 de marzo de 2011]]></source>
<year>2011</year>
<publisher-name><![CDATA[Gaceta Oficial]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[García Ávila]]></surname>
<given-names><![CDATA[PA]]></given-names>
</name>
<name>
<surname><![CDATA[Rojas]]></surname>
<given-names><![CDATA[NY]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Análisis del origen de PM10 y PM2,5 en Bogotá gráficos polares]]></article-title>
<source><![CDATA[Rev Mutis]]></source>
<year>2016</year>
<volume>6</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>47-58</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alessandrini]]></surname>
<given-names><![CDATA[ER]]></given-names>
</name>
<name>
<surname><![CDATA[Stafoggia]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Faustini]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Berti]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Canova]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[De Togni]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Association between short-term exposure to PM2,5 and PM10 and mortality in susceptible subgroups: A multisite case-crossover analysis of individual effect modifiers]]></article-title>
<source><![CDATA[Am J Epidemiol]]></source>
<year>2016</year>
<volume>184</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>744-54</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="book">
<collab>Área Metropolitana del Valle de Aburrá</collab>
<source><![CDATA[Acuerdo Metropolitano N.° 15 de 2016. Plan Operacional para Enfrentar Episodios Críticos de Contaminación]]></source>
<year>2016</year>
<publisher-name><![CDATA[Gaceta Oficial]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gironés]]></surname>
<given-names><![CDATA[JC]]></given-names>
</name>
<name>
<surname><![CDATA[Minguillón]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Caihuelas]]></surname>
<given-names><![CDATA[JR]]></given-names>
</name>
</person-group>
<source><![CDATA[Minería de datos: modelos y algoritmos]]></source>
<year>2017</year>
<publisher-name><![CDATA[Monarka]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Polezer]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Tadano]]></surname>
<given-names><![CDATA[YS]]></given-names>
</name>
<name>
<surname><![CDATA[Siqueira]]></surname>
<given-names><![CDATA[HV]]></given-names>
</name>
<name>
<surname><![CDATA[Godoi]]></surname>
<given-names><![CDATA[AFL]]></given-names>
</name>
<name>
<surname><![CDATA[Yamamoto]]></surname>
<given-names><![CDATA[CI]]></given-names>
</name>
<name>
<surname><![CDATA[de André]]></surname>
<given-names><![CDATA[PA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Assessing the impact of PM2,5 on respiratory disease using artificial neural networks]]></article-title>
<source><![CDATA[Environ Pollut]]></source>
<year>2018</year>
<volume>235</volume>
<page-range>394-403</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mantovani]]></surname>
<given-names><![CDATA[KCC]]></given-names>
</name>
<name>
<surname><![CDATA[Nascimento]]></surname>
<given-names><![CDATA[LFC]]></given-names>
</name>
<name>
<surname><![CDATA[Moreira]]></surname>
<given-names><![CDATA[DS]]></given-names>
</name>
<name>
<surname><![CDATA[Vieira LCPF da]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[NP]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Poluentes do ar e internações devido a doenças cardiovasculares em São José do Rio Preto, Brasil]]></article-title>
<source><![CDATA[Cien Saude Colet]]></source>
<year>2016</year>
<volume>21</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>509-16</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Tian]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Song]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Xiang]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fine particulate air pollution and hospital admissions and readmissions for acute myocardial infarction in 26 Chinese cities]]></article-title>
<source><![CDATA[Chemosphere]]></source>
<year>2018</year>
<volume>192</volume>
<page-range>282-8</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jo]]></surname>
<given-names><![CDATA[YS]]></given-names>
</name>
<name>
<surname><![CDATA[Lim]]></surname>
<given-names><![CDATA[MN]]></given-names>
</name>
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[YJ]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[WJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Epidemiological study of PM2,5 and risk of COPD-related hospital visits in association with particle constituents in Chuncheon, Korea]]></article-title>
<source><![CDATA[Int J Chron Obstruct Pulmon Dis]]></source>
<year>2018</year>
<volume>13</volume>
<page-range>299-307</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ignotti]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Hacon S de]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Junger]]></surname>
<given-names><![CDATA[WL]]></given-names>
</name>
<name>
<surname><![CDATA[Mourão]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Longo]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Freitas]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Air pollution and hospital admissions for respiratory diseases in the subequatorial Amazon: a time series approach]]></article-title>
<source><![CDATA[Cad Saude Publica]]></source>
<year>2010</year>
<volume>26</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>747-61</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Miri]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Derakhshan]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Allahabadi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmadi]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveri Conti]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Ferrante]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mortality and morbidity due to exposure to outdoor air pollution in Mashhad metropolis, Iran. The AirQ model approach]]></article-title>
<source><![CDATA[Environ Res]]></source>
<year>2016</year>
<volume>151</volume>
<page-range>451-7</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pannullo]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Neal]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Dalvi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Agnew]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[O'Connor]]></surname>
<given-names><![CDATA[FM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England]]></article-title>
<source><![CDATA[Environmental Health]]></source>
<year>2017</year>
<volume>16</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>29</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="">
<collab>Ministerio de la protección Social</collab>
<source><![CDATA[República de Colombia. Lineamientos técnicos para el registro de los datos del registro individual de la prestación de servicios de salud]]></source>
<year>2009</year>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="">
<collab>Informe Quincenal Epidemiológico Nacional</collab>
<source><![CDATA[Utilidad de los Registros Individuales de Prestación de Servicios (RIPS) para la vigilancia en salud pública]]></source>
<year>2011</year>
<volume>18</volume>
<numero>16</numero>
<issue>16</issue>
<page-range>164-1175</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Contaminación Atmosférica, Morbilidad y Mortalidad en la ciudad de Albacete]]></article-title>
<source><![CDATA[Rev Clín Med Fam]]></source>
<year>2009</year>
<volume>2</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>392-9</page-range></nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Linares]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Díaz]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efecto de las partículas de diámetro inferior a 2,5 micras (PM2,5) sobre los ingresos hospitalarios en niños menores de 10 años en Madrid]]></article-title>
<source><![CDATA[Gaceta Sanitaria]]></source>
<year>2009</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>192-7</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Téllez]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Romieu]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Polo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Ruiz]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Meneses]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efecto de la contaminación ambiental sobre las consultas por infecciones respiratorias en niños de la Ciudad de México]]></article-title>
<source><![CDATA[Salud Pública de México]]></source>
<year>1997</year>
<volume>39</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>513-22</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
