Trend and spatial distribution of infectious diseases in pregnant women in the state of Paraná-Brazil.
Identifieur interne : 000022 ( Main/Exploration ); précédent : 000021; suivant : 000023Trend and spatial distribution of infectious diseases in pregnant women in the state of Paraná-Brazil.
Auteurs : Larissa Pereira Falavina [Brésil] ; Maicon Henrique Lentsck [Brésil] ; Thais Aidar De Freitas Mathias [Brésil]Source :
- Revista latino-americana de enfermagem [ 1518-8345 ] ; 2019.
Descripteurs français
- KwdFr :
- Analyse spatio-temporelle (MeSH), Brésil (épidémiologie), Complications infectieuses de la grossesse (épidémiologie), Dengue (épidémiologie), Facteurs temps (MeSH), Femelle (MeSH), Grippe humaine (épidémiologie), Grossesse (MeSH), Humains (MeSH), Hépatite (épidémiologie), Incidence (MeSH), Infections à VIH (épidémiologie), Notification des maladies (MeSH), Syphilis (épidémiologie), Toxoplasmose (épidémiologie).
- MESH :
- Wicri :
- geographic : Brésil.
English descriptors
- KwdEn :
- Brazil (epidemiology), Dengue (epidemiology), Disease Notification (MeSH), Female (MeSH), HIV Infections (epidemiology), Hepatitis (epidemiology), Humans (MeSH), Incidence (MeSH), Influenza, Human (epidemiology), Pregnancy (MeSH), Pregnancy Complications, Infectious (epidemiology), Spatio-Temporal Analysis (MeSH), Syphilis (epidemiology), Time Factors (MeSH), Toxoplasmosis (epidemiology).
- MESH :
- geographic , epidemiology : Brazil.
- epidemiology : Dengue, HIV Infections, Hepatitis, Influenza, Human, Pregnancy Complications, Infectious, Syphilis, Toxoplasmosis.
- Disease Notification, Female, Humans, Incidence, Pregnancy, Spatio-Temporal Analysis, Time Factors.
Abstract
OBJECTIVE
to analyze the trend and spatial distribution of some diseases that require compulsory notification in pregnant women.
METHOD
ecological study, with data from the National Notifiable Diseases Surveillance System, of the incidence of the six most frequent diseases that, require compulsory notification, in pregnant women. The Prais-Winsten model was used to analyze the trend classified as stable, decreasing and increasing, according to macro-regions. For the spatial analysis, the incidences distributed in percentiles, in choropleth maps, by Health Regions were calculated.
RESULTS
the most frequent infections were syphilis, dengue, Human Immunodeficiency Virus, influenza, hepatitis and toxoplasmosis. Incidence increased by 30.8%, 30.4%, 15.4% and 2.6%, on average, for syphilis, toxoplasmosis, dengue and Human Immunodeficiency Virus, respectively. On average, the incidence of syphilis increased by 40.5% in Macro-regional North and 38% in Macro-regional Northwest. The spatial analysis showed, in the last four years, high incidence of dengue, syphilis and infection by Human Immunodeficiency Virus, which reached 180.2, 141.7 and 100.8 cases per 10,000 live births, respectively.
CONCLUSION
there were increased incidences of infection in pregnant women due to syphilis, toxoplasmosis and Human Immunodeficiency Virus, with differences in their spatial distribution, indicating that these diseases should be a priority in the care of pregnant women in more affected regions.
DOI: 10.1590/1518-8345.2838.3160
PubMed: 31432916
PubMed Central: PMC6703098
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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xml:lang="fr"><term>Brésil</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>to analyze the trend and spatial distribution of some diseases that require compulsory notification in pregnant women.</p></div><div type="abstract" xml:lang="en"><p><b>METHOD</b></p><p>ecological study, with data from the National Notifiable Diseases Surveillance System, of the incidence of the six most frequent diseases that, require compulsory notification, in pregnant women. The Prais-Winsten model was used to analyze the trend classified as stable, decreasing and increasing, according to macro-regions. For the spatial analysis, the incidences distributed in percentiles, in choropleth maps, by Health Regions were calculated.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>the most frequent infections were syphilis, dengue, Human Immunodeficiency Virus, influenza, hepatitis and toxoplasmosis. Incidence increased by 30.8%, 30.4%, 15.4% and 2.6%, on average, for syphilis, toxoplasmosis, dengue and Human Immunodeficiency Virus, respectively. On average, the incidence of syphilis increased by 40.5% in Macro-regional North and 38% in Macro-regional Northwest. The spatial analysis showed, in the last four years, high incidence of dengue, syphilis and infection by Human Immunodeficiency Virus, which reached 180.2, 141.7 and 100.8 cases per 10,000 live births, respectively.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>there were increased incidences of infection in pregnant women due to syphilis, toxoplasmosis and Human Immunodeficiency Virus, with differences in their spatial distribution, indicating that these diseases should be a priority in the care of pregnant women in more affected regions.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31432916</PMID><DateCompleted><Year>2019</Year><Month>09</Month><Day>03</Day></DateCompleted><DateRevised><Year>2020</Year><Month>02</Month><Day>25</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1518-8345</ISSN><JournalIssue CitedMedium="Internet"><Volume>27</Volume><PubDate><Year>2019</Year><Month>Aug</Month><Day>19</Day></PubDate></JournalIssue><Title>Revista latino-americana de enfermagem</Title><ISOAbbreviation>Rev Lat Am Enfermagem</ISOAbbreviation></Journal><ArticleTitle>Trend and spatial distribution of infectious diseases in pregnant women in the state of Paraná-Brazil.</ArticleTitle><Pagination><MedlinePgn>e3160</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0104-11692019000100348</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1590/1518-8345.2838.3160</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">to analyze the trend and spatial distribution of some diseases that require compulsory notification in pregnant women.</AbstractText><AbstractText Label="METHOD" NlmCategory="METHODS">ecological study, with data from the National Notifiable Diseases Surveillance System, of the incidence of the six most frequent diseases that, require compulsory notification, in pregnant women. The Prais-Winsten model was used to analyze the trend classified as stable, decreasing and increasing, according to macro-regions. For the spatial analysis, the incidences distributed in percentiles, in choropleth maps, by Health Regions were calculated.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">the most frequent infections were syphilis, dengue, Human Immunodeficiency Virus, influenza, hepatitis and toxoplasmosis. Incidence increased by 30.8%, 30.4%, 15.4% and 2.6%, on average, for syphilis, toxoplasmosis, dengue and Human Immunodeficiency Virus, respectively. On average, the incidence of syphilis increased by 40.5% in Macro-regional North and 38% in Macro-regional Northwest. The spatial analysis showed, in the last four years, high incidence of dengue, syphilis and infection by Human Immunodeficiency Virus, which reached 180.2, 141.7 and 100.8 cases per 10,000 live births, respectively.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">there were increased incidences of infection in pregnant women due to syphilis, toxoplasmosis and Human Immunodeficiency Virus, with differences in their spatial distribution, indicating that these diseases should be a priority in the care of pregnant women in more affected regions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Falavina</LastName><ForeName>Larissa Pereira</ForeName><Initials>LP</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-9158-6673</Identifier><AffiliationInfo><Affiliation>Universidade Estadual de Londrina, Centro de Ciências da Saúde, Londrina, PR, Brasil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lentsck</LastName><ForeName>Maicon Henrique</ForeName><Initials>MH</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-8912-8902</Identifier><AffiliationInfo><Affiliation>Universidade Estadual de Maringá, Departamento de Enfermagem, Maringá, PR, Brasil.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Universidade Estadual do Centro-Oeste, Departamento de Enfermagem, Guarapuava, PR, Brasil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mathias</LastName><ForeName>Thais Aidar de Freitas</ForeName><Initials>TAF</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-2853-1634</Identifier><AffiliationInfo><Affiliation>Universidade Estadual de Maringá, Departamento de Enfermagem, Maringá, PR, Brasil.</Affiliation></AffiliationInfo></Author></AuthorList><Language>por</Language><Language>eng</Language><Language>spa</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Tendência e distribuição espacial de doenças infecciosas em gestantes no estado do Paraná-Brasil.</VernacularTitle><ArticleDate DateType="Electronic"><Year>2019</Year><Month>08</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>Brazil</Country><MedlineTA>Rev Lat Am Enfermagem</MedlineTA><NlmUniqueID>9420934</NlmUniqueID><ISSNLinking>0104-1169</ISSNLinking></MedlineJournalInfo><CitationSubset>N</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001938" MajorTopicYN="N" Type="Geographic">Brazil</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003715" MajorTopicYN="N">Dengue</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018563" MajorTopicYN="N">Disease Notification</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006505" MajorTopicYN="N">Hepatitis</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011247" MajorTopicYN="N">Pregnancy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011251" MajorTopicYN="N">Pregnancy Complications, Infectious</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D062211" MajorTopicYN="N">Spatio-Temporal Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013587" MajorTopicYN="N">Syphilis</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014123" MajorTopicYN="N">Toxoplasmosis</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList><OtherAbstract Type="Publisher" Language="por"><AbstractText Label="OBJETIVO" NlmCategory="UNASSIGNED">analisar a tendência e a distribuição espacial de algumas doenças de notificação compulsória em gestantes.</AbstractText><AbstractText Label="MÉTODO" NlmCategory="UNASSIGNED">estudo ecológico, com dados do Sistema Nacional de Agravos de Notificação, das incidências das seis doenças de notificação mais frequentes em gestantes. O modelo de Prais-Winsten foi utilizado para a análise da tendência classificada em estável, decrescente e crescente, segundo macrorregiões. Para a análise espacial, foram calculadas as incidências distribuídas em percentis, em mapas coropléticos, por Regiões de Saúde.</AbstractText><AbstractText Label="RESULTADOS" NlmCategory="UNASSIGNED">as infecções mais frequentes foram sífilis, dengue, Human Immunodeficiency Virus, influenza, hepatites e toxoplasmose. A incidência para sífilis, toxoplasmose, dengue e Human Immunodeficiency Virus aumentou 30,8%, 30,4%, 15,4% e 2,6% ao ano, em média, respectivamente. Em média, ao ano, a incidência de sífilis aumentou 40,5% na Macrorregional Norte e 38% na Macrorregional Noroeste. A análise espacial mostrou, no último quadriênio, incidência elevada para dengue, sífilis e infecção pelo Human Immunodeficiency Virus que chegaram, respectivamente, a 180,2, 141,7 e 100,8 casos por 10.000 nascidos vivos.</AbstractText><AbstractText Label="CONCLUSÃO" NlmCategory="UNASSIGNED">houve aumento da incidência de infecção em gestantes por sífilis, toxoplasmose e Human Immunodeficiency Virus, com diferenças em sua distribuição espacial, indicando que esses agravos devem ser prioridade no atendimento à gestante em regiões mais acometidas.</AbstractText></OtherAbstract><OtherAbstract Type="Publisher" Language="spa"><AbstractText Label="OBJETIVO" NlmCategory="UNASSIGNED">analizar la tendencia y la distribución espacial de algunas enfermedades de notificación obligatoria en gestantes.</AbstractText><AbstractText Label="MÉTODO" NlmCategory="UNASSIGNED">estudio ecológico, con datos del Sistema Nacional de Agravios de Notificación, de las incidencias de las seis enfermedades de notificación más frecuentes en gestantes. El modelo de Prais-Winsten fue utilizado para el análisis de la tendencia clasificada en estable, decreciente y creciente, según macrorregiones. Para el análisis espacial, se calcularon las incidencias, distribuidas en percentiles, en mapas coropléticos, por Regiones de Salud.</AbstractText><AbstractText Label="RESULTADOS" NlmCategory="UNASSIGNED">las infecciones más frecuentes fueron sífilis, dengue, Human Immunodeficiency Virus, influenza, hepatitis y toxoplasmosis. Hubo aumento de la incidencia para sífilis, toxoplasmosis, dengue y Human Immunodeficiency Virus de 30,8%, 30,4%, 15,4% y 2,6% al año, en promedio, respectivamente. En promedio, al año, la incidencia de sífilis aumentaron un 40,5% en la Macrorregional Norte y un 38% en el Noroeste. El análisis espacial mostró, en el último cuadrienio, incidencias elevadas para dengue, sífilis e infección por el Human Immunodeficiency Virus que llegaron, respectivamente, a 180,2, 141,7 y 100,8 casos por 10.000 nacidos vivos.</AbstractText><AbstractText Label="CONCLUSIÓN" NlmCategory="UNASSIGNED">hubo aumento de la incidencia de infección en gestantes por sífilis, toxoplasmosis y Human Immunodeficiency Virus, con diferencias en su distribución espacial, indicando que esos agravios deben ser prioridad en la atención a la gestante en regiones más acometidas.</AbstractText></OtherAbstract></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>06</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>03</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>8</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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12;17(1):185</Citation><ArticleIdList><ArticleId IdType="pubmed">28606185</ArticleId></ArticleIdList></Reference><Reference><Citation>AIDS. 2017 Jul 17;31(11):1545-1553</Citation><ArticleIdList><ArticleId IdType="pubmed">28657963</ArticleId></ArticleIdList></Reference><Reference><Citation>Epidemiol Serv Saude. 2017 Jul-Sep;26(3):433-442</Citation><ArticleIdList><ArticleId IdType="pubmed">28977169</ArticleId></ArticleIdList></Reference><Reference><Citation>Rev Saude Publica. 2018;52:63</Citation><ArticleIdList><ArticleId IdType="pubmed">29846438</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li></country><region><li>Paraná (État)</li></region></list><tree><country name="Brésil"><region name="Paraná (État)"><name sortKey="Falavina, Larissa Pereira" sort="Falavina, Larissa Pereira" uniqKey="Falavina L" first="Larissa Pereira" last="Falavina">Larissa Pereira Falavina</name></region><name sortKey="Lentsck, Maicon Henrique" sort="Lentsck, Maicon Henrique" uniqKey="Lentsck M" first="Maicon Henrique" last="Lentsck">Maicon Henrique Lentsck</name><name sortKey="Lentsck, Maicon Henrique" sort="Lentsck, Maicon Henrique" uniqKey="Lentsck M" first="Maicon Henrique" last="Lentsck">Maicon Henrique Lentsck</name><name sortKey="Mathias, Thais Aidar De Freitas" sort="Mathias, Thais Aidar De Freitas" uniqKey="Mathias T" first="Thais Aidar De Freitas" last="Mathias">Thais Aidar De Freitas Mathias</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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