INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Baiana de Saúde Pública (Online) |
Texto Completo: | https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3250 |
Resumo: | Syndemic is the interaction between two or more diseases that can cause more damage than the simple sum of these. In the state of Bahia, the arrival of the new coronavirus was preceded by an alarming epidemiological context regarding arboviruses, with an exponential increase in cases of chikungunya and a record of the highest coefficient of dengue incidence in the last decade. This article analyzes indicators and risk factors for the diseases to establish interactions in the epidemiological dynamics and the effect on health services. This study was conducted between the epidemiological weeks (EW) 11 and 40 of 2020, with data collected in the e-SUS Notifica, Sivep-Gripe (Covid-19), Sinan online (chikungunya and dengue) and Sinan Net (zika). The analyzes were performed using the statistical program R version 3.6.3, including descriptive and relative risk between comorbidities and death by COVID-19. The highest incidences for the syndemic were observed in the South (260,040), Central East (200,135) and Southwest (148,130) macroregions, especially of Covid-19 and dengue. For dengue, the highest incidences did not coincide with those with a high incidence for COVID19. Multivariate analysis showed that the presence of diabetes, respiratory, heart and kidney diseases increased the risk of death from COVID-19. Prevention and control measures for these diseases are complex, considering that there are no specific vaccines and drugs. More comprehensive public policies, aimed at understanding the interaction of these diseases in a social and environmental context characterized by profound inequalities and that exacerbates the effect of simultaneous occurrences must be intensified. |
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INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACHINTERACCIONES ENTRE COVID-19 Y ARBOVIRUS EN BAHÍA: UN ENFOQUE SINDÉMICOINTERAÇÕES ENTRE COVID-19 E ARBOVIROSES NA BAHIA: UMA ABORDAGEM SINDÊMICASindemiacovid-19arbovirosesepidemiologiaSindemiacovid-19arbovirusepidemiologíaSyndemiccovid-19arbovirus infectionsepidemiologySyndemic is the interaction between two or more diseases that can cause more damage than the simple sum of these. In the state of Bahia, the arrival of the new coronavirus was preceded by an alarming epidemiological context regarding arboviruses, with an exponential increase in cases of chikungunya and a record of the highest coefficient of dengue incidence in the last decade. This article analyzes indicators and risk factors for the diseases to establish interactions in the epidemiological dynamics and the effect on health services. This study was conducted between the epidemiological weeks (EW) 11 and 40 of 2020, with data collected in the e-SUS Notifica, Sivep-Gripe (Covid-19), Sinan online (chikungunya and dengue) and Sinan Net (zika). The analyzes were performed using the statistical program R version 3.6.3, including descriptive and relative risk between comorbidities and death by COVID-19. The highest incidences for the syndemic were observed in the South (260,040), Central East (200,135) and Southwest (148,130) macroregions, especially of Covid-19 and dengue. For dengue, the highest incidences did not coincide with those with a high incidence for COVID19. Multivariate analysis showed that the presence of diabetes, respiratory, heart and kidney diseases increased the risk of death from COVID-19. Prevention and control measures for these diseases are complex, considering that there are no specific vaccines and drugs. More comprehensive public policies, aimed at understanding the interaction of these diseases in a social and environmental context characterized by profound inequalities and that exacerbates the effect of simultaneous occurrences must be intensified.La sindemia es la interacción entre dos o más enfermedades que pueden causar más daño que la simple suma de estas. En Bahía, la llegada del nuevo coronavirus estuvo precedida de un contexto epidemiológico alarmante en cuanto a los arbovirus, con un aumento exponencial de casos de chikunguña y un récord del mayor coeficiente de incidencia de dengue en la última década. Este artículo analiza indicadores y factores de riesgo de enfermedades para establecer interacciones en la dinámica epidemiológica y el impacto en los servicios de salud. El estudio se realizó entre las semanas epidemiológicas 11 y 40 de 2020, con datos recogidos en el e-SUS Notifica, Sivep-Gripe (Covid-19), Sinan On-line (chikunguña y dengue) y Sinan Net (zika). Los análisis se realizaron utilizando el programa estadístico R versión 3.6.3, incluido el riesgo descriptivo y relativo entre comorbilidades y muerte por Covid-19. En el período analizado, las mayores incidencias para la unión se observaron en las macrorregiones Sur (260.040), Centro Oriente (200.135) y Suroeste (148.130), con énfasis en Covid-19 y dengue. Para el dengue, las incidencias más altas no coincidieron con aquellas con una alta incidencia de Covid-19. El análisis multivariado demostró que la presencia de diabetes, enfermedades respiratorias, cardíacas y renales aumentaba el riesgo de muerte por Covid-19. Las medidas de prevención y control de estas enfermedades son complejas, considerando que no existen vacunas y medicamentos específicos. Por tanto, es fundamental intensificar políticas públicas más integrales, orientadas a comprender la interacción de estas enfermedades en un contexto social y ambiental caracterizado por profundas desigualdades y que agrava el impacto de ocurrencias simultáneas.Sindemia é a interação entre duas ou mais doenças, podendo causar danos maiores do que a simples soma dessas. Na Bahia, a chegada do novo coronavírus foi precedida por um contexto epidemiológico alarmante quanto às arboviroses, com aumento exponencial de casos de chikungunya e registro de maior coeficiente de incidência de dengue da última década. Este artigo analisa indicadores e fatores de risco dos agravos para estabelecer interações nas dinâmicas epidemiológicas e o impacto causado nos serviços de saúde. O estudo foi realizado entre as semanas epidemiológicas 11 e 40 de 2020, com dados coletados no e-SUS Notifica, Sivep-Gripe (Covid19), Sinan On-line (chikungunya e dengue) e Sinan Net (zika). As análises foram elaboradas por meio do programa estatístico R versão 3.6.3, incluindo descritiva e de risco relativo entre comorbidades e óbito por Covid-19. No período analisado, observou-se que as maiores incidências para a sindemia ocorreram nas macrorregiões Sul (260.040), Centro Leste (200.135) e Sudoeste (148.130), com destaque para Covid-19 e dengue. Para dengue, as maiores incidências coincidiram com a elevada incidência para Covid-19. A análise multivariada demonstrou que a presença de diabetes, doenças respiratórias, cardíacas e renais aumentaram o risco de óbito por Covid-19. As medidas de prevenção e controle dessas doenças são complexas, considerando que não existem vacinas e drogas específicas. Torna-se, portanto, imprescindível a intensificação de políticas públicas mais abrangentes, voltadas à compreensão da interação entre essas doenças em um contexto social e ambiental caracterizado por profundas desigualdades e que exacerba o impacto das ocorrências simultâneas.SESAB2021-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3250Revista Baiana de Saúde Pública; v. 45 n. especial 1 (2021); 79-922318-26600100-023310.22278/2318-2660.2021.v45.NEspecial_1reponame:Revista Baiana de Saúde Pública (Online)instname:Secretaria da Saúde do Estado da Bahia (Sesab)instacron:IBICTporhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3250/2775Copyright (c) 2021 Revista Baiana de Saúde Públicainfo:eu-repo/semantics/openAccessSaavedra, Ramon da CostaCosta, Luciana Bahiense da Varjão, Anna Ariane Alves SilvaSantos, Marcio Pires dosSantos, Maiane Ferreira dos2023-02-13T17:00:14Zoai:ojs.pkp.sfu.ca:article/3250Revistahttps://rbsp.sesab.ba.gov.br/index.php/rbspPUBhttps://rbsp.sesab.ba.gov.br/index.php/rbsp/oai||saude.revista@saude.ba.gov.br|| rbsp.saude@saude.ba.gov.br2318-26600100-0233opendoar:2024-03-06T12:58:11.579847Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab)false |
dc.title.none.fl_str_mv |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH INTERACCIONES ENTRE COVID-19 Y ARBOVIRUS EN BAHÍA: UN ENFOQUE SINDÉMICO INTERAÇÕES ENTRE COVID-19 E ARBOVIROSES NA BAHIA: UMA ABORDAGEM SINDÊMICA |
title |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH |
spellingShingle |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH Saavedra, Ramon da Costa Sindemia covid-19 arboviroses epidemiologia Sindemia covid-19 arbovirus epidemiología Syndemic covid-19 arbovirus infections epidemiology |
title_short |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH |
title_full |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH |
title_fullStr |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH |
title_full_unstemmed |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH |
title_sort |
INTERACTIONS BETWEEN COVID-19 AND ARBOVIRUSES IN BAHIA: A SYNDEMIC APPROACH |
author |
Saavedra, Ramon da Costa |
author_facet |
Saavedra, Ramon da Costa Costa, Luciana Bahiense da Varjão, Anna Ariane Alves Silva Santos, Marcio Pires dos Santos, Maiane Ferreira dos |
author_role |
author |
author2 |
Costa, Luciana Bahiense da Varjão, Anna Ariane Alves Silva Santos, Marcio Pires dos Santos, Maiane Ferreira dos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Saavedra, Ramon da Costa Costa, Luciana Bahiense da Varjão, Anna Ariane Alves Silva Santos, Marcio Pires dos Santos, Maiane Ferreira dos |
dc.subject.por.fl_str_mv |
Sindemia covid-19 arboviroses epidemiologia Sindemia covid-19 arbovirus epidemiología Syndemic covid-19 arbovirus infections epidemiology |
topic |
Sindemia covid-19 arboviroses epidemiologia Sindemia covid-19 arbovirus epidemiología Syndemic covid-19 arbovirus infections epidemiology |
description |
Syndemic is the interaction between two or more diseases that can cause more damage than the simple sum of these. In the state of Bahia, the arrival of the new coronavirus was preceded by an alarming epidemiological context regarding arboviruses, with an exponential increase in cases of chikungunya and a record of the highest coefficient of dengue incidence in the last decade. This article analyzes indicators and risk factors for the diseases to establish interactions in the epidemiological dynamics and the effect on health services. This study was conducted between the epidemiological weeks (EW) 11 and 40 of 2020, with data collected in the e-SUS Notifica, Sivep-Gripe (Covid-19), Sinan online (chikungunya and dengue) and Sinan Net (zika). The analyzes were performed using the statistical program R version 3.6.3, including descriptive and relative risk between comorbidities and death by COVID-19. The highest incidences for the syndemic were observed in the South (260,040), Central East (200,135) and Southwest (148,130) macroregions, especially of Covid-19 and dengue. For dengue, the highest incidences did not coincide with those with a high incidence for COVID19. Multivariate analysis showed that the presence of diabetes, respiratory, heart and kidney diseases increased the risk of death from COVID-19. Prevention and control measures for these diseases are complex, considering that there are no specific vaccines and drugs. More comprehensive public policies, aimed at understanding the interaction of these diseases in a social and environmental context characterized by profound inequalities and that exacerbates the effect of simultaneous occurrences must be intensified. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3250 |
url |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3250 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3250/2775 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Baiana de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Baiana de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SESAB |
publisher.none.fl_str_mv |
SESAB |
dc.source.none.fl_str_mv |
Revista Baiana de Saúde Pública; v. 45 n. especial 1 (2021); 79-92 2318-2660 0100-0233 10.22278/2318-2660.2021.v45.NEspecial_1 reponame:Revista Baiana de Saúde Pública (Online) instname:Secretaria da Saúde do Estado da Bahia (Sesab) instacron:IBICT |
instname_str |
Secretaria da Saúde do Estado da Bahia (Sesab) |
instacron_str |
IBICT |
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IBICT |
reponame_str |
Revista Baiana de Saúde Pública (Online) |
collection |
Revista Baiana de Saúde Pública (Online) |
repository.name.fl_str_mv |
Revista Baiana de Saúde Pública (Online) - Secretaria da Saúde do Estado da Bahia (Sesab) |
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||saude.revista@saude.ba.gov.br|| rbsp.saude@saude.ba.gov.br |
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