Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil
Introduction: coronavirus is part of a group of RNA viruses belonging to the Coronaviridae family, widely distributed in humans and other mammals. Currently, it has been seriously affecting the whole world, without a definitive cure yet. Objective: to analyse the association between the HDI and conf...
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| Veröffentlicht in: | Revista brasileira de crescimento e desenvolvimento humano 2021, Vol.31 (3), p.425-435 |
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| creator | Lima de Assis, Edimilson José de Deus Morais, Mauro De Oliveira Eichemberg, Jorge Rigamonte Azevedo de Assis, Valéria Macedo Junior, Hugo Bianca Barbary de Deus, Maura Carlos de Abreu, Luiz |
| description | Introduction: coronavirus is part of a group of RNA viruses belonging to the Coronaviridae family, widely distributed in humans and other mammals. Currently, it has been seriously affecting the whole world, without a definitive cure yet.
Objective: to analyse the association between the HDI and confirmed cumulative cases of COVID-19 that occurred during epidemiological week 16 to 53 of 2020, in the State of Acre.
Methods: this is an ecological study of descriptive time series, evaluating the State of Acre and its 22 municipalities affected by COVID-19, in the period corresponding to the epidemiological weeks 16 to 53 of 2020. The State of Acre and its municipalities are aggregated by five regions with a total of approximately 881 thousand inhabitants, with an HDI of 0.663. Rio Branco is the state capital with 407,000 inhabitants. The 22 municipalities were analyzed, relating the HDI variables, confirmed cases per day and number of inhabitants to each other.
Results: it was observed that the population evaluated, affected by COVID-19 during SE 16 to 53 of 2020, in the State of Acre, had as predominant general characteristics brown skin color, male sex, and the evolution to death from the disease was related with older age and comorbidity. Acre had a mortality rate (deaths per 100,000 inhabitants) of 90.9 and a lethality rate of 1.9%, with the highest mortality rate observed in the municipality of Rio Branco (121.3/100,000 inhabitants) and lethality in Rodrigues Alves (2.9%). The incidence of COVID-19 in Acre was 4,759.9 cases per 100,000 inhabitants, the municipalities of Assis Brasil and Xapuri had the highest incidences in the state with 10273.7 and 9330.8 new cases per 100,000 inhabitants, respectively.
Conclusion: although the accumulated numbers of cases are different for the same day, the behavior is very similar, that is, the curves vary in the same way over time, regardless of the municipality observed.
Introdução: o coronavírus faz parte de um grupo de vírus de RNA pertencente à família Coronaviridae, amplamente distribuídos em humanos e outros mamíferos. Atualmente, vem atingindo de forma grave o mundo todo, sem ainda existir uma cura definitiva.
Objetivo: analisar a associação entre o IDH e os casos acumulados confirmados de COVID-19 que ocorreram durante a semana epidemiológica (SE) 16 até a (SE) 53 de 2020, no Estado do Acre.
Método: trata-se de um estudo ecológico de séries temporais de caráter descritivo, sendo avaliado o Estado do Acre e seu |
| doi_str_mv | 10.36311/jhgd.v31.12611 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2614912854</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2614912854</sourcerecordid><originalsourceid>FETCH-LOGICAL-c138t-59bf5a6557d9844b75f476d7ee35521af58be881ba002df86b4473a8f5e143a13</originalsourceid><addsrcrecordid>eNotkE1PAjEQhhujiUQ5e23i1YVOP3a7R0RUEhIufhyb7m4LxWWL3S5Gfr0LOJdJJs_MvHkQugMyYikDGG_Wq2q0ZzACmgJcoAGFTCRM5PISDQgQngCV9BoN23ZD-mIMcpIOUJztfd1F5xvsLZ4uP-ZPCeS46oJrVjiuDTY7V5mt87VfuVLX-MeYLwwpjh4LdlyihBLsmhPcRh3NcTgpg8Gfpo0mNHiy1QffOP2AH4M-uPoWXVldt2b432_Q-_PsbfqaLJYv8-lkkZTAZExEXlihUyGyKpecF5mwPEurzBgmBAVthSyMlFBoQmhlZVpwnjEtrTDAmQZ2g-7Pd3fBf3d9GLXxXWj6l6q3xPNeieA9NT5TZfBtG4xVu-C2OvwqIOpkVx3tqt6uOtllf5uKatU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2614912854</pqid></control><display><type>article</type><title>Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Lima de Assis, Edimilson ; José de Deus Morais, Mauro ; De Oliveira Eichemberg, Jorge ; Rigamonte Azevedo de Assis, Valéria ; Macedo Junior, Hugo ; Bianca Barbary de Deus, Maura ; Carlos de Abreu, Luiz</creator><creatorcontrib>Lima de Assis, Edimilson ; José de Deus Morais, Mauro ; De Oliveira Eichemberg, Jorge ; Rigamonte Azevedo de Assis, Valéria ; Macedo Junior, Hugo ; Bianca Barbary de Deus, Maura ; Carlos de Abreu, Luiz</creatorcontrib><description>Introduction: coronavirus is part of a group of RNA viruses belonging to the Coronaviridae family, widely distributed in humans and other mammals. Currently, it has been seriously affecting the whole world, without a definitive cure yet.
Objective: to analyse the association between the HDI and confirmed cumulative cases of COVID-19 that occurred during epidemiological week 16 to 53 of 2020, in the State of Acre.
Methods: this is an ecological study of descriptive time series, evaluating the State of Acre and its 22 municipalities affected by COVID-19, in the period corresponding to the epidemiological weeks 16 to 53 of 2020. The State of Acre and its municipalities are aggregated by five regions with a total of approximately 881 thousand inhabitants, with an HDI of 0.663. Rio Branco is the state capital with 407,000 inhabitants. The 22 municipalities were analyzed, relating the HDI variables, confirmed cases per day and number of inhabitants to each other.
Results: it was observed that the population evaluated, affected by COVID-19 during SE 16 to 53 of 2020, in the State of Acre, had as predominant general characteristics brown skin color, male sex, and the evolution to death from the disease was related with older age and comorbidity. Acre had a mortality rate (deaths per 100,000 inhabitants) of 90.9 and a lethality rate of 1.9%, with the highest mortality rate observed in the municipality of Rio Branco (121.3/100,000 inhabitants) and lethality in Rodrigues Alves (2.9%). The incidence of COVID-19 in Acre was 4,759.9 cases per 100,000 inhabitants, the municipalities of Assis Brasil and Xapuri had the highest incidences in the state with 10273.7 and 9330.8 new cases per 100,000 inhabitants, respectively.
Conclusion: although the accumulated numbers of cases are different for the same day, the behavior is very similar, that is, the curves vary in the same way over time, regardless of the municipality observed.
Introdução: o coronavírus faz parte de um grupo de vírus de RNA pertencente à família Coronaviridae, amplamente distribuídos em humanos e outros mamíferos. Atualmente, vem atingindo de forma grave o mundo todo, sem ainda existir uma cura definitiva.
Objetivo: analisar a associação entre o IDH e os casos acumulados confirmados de COVID-19 que ocorreram durante a semana epidemiológica (SE) 16 até a (SE) 53 de 2020, no Estado do Acre.
Método: trata-se de um estudo ecológico de séries temporais de caráter descritivo, sendo avaliado o Estado do Acre e seus 22 municípios atingidos pela COVID-19, no período correspondente à SE 16 a 53 de 2020. O Estado do Acre e seus municípios são agregados por cinco regionais com um total de, aproximadamente, 881 mil habitantes, tendo um IDH de 0,663. Rio Branco é a capital do Estado com 407 mil habitantes. Foram analisados os 22 municípios, relacionando entre si as variáveis IDH, casos confirmados por dia e números de habitantes.
Resultados: observou-se que a população avaliada acometidas pela COVID-19 durante a SE 16 a 53 de 2020, no Estado do Acre, teve como características gerais predominantes a cor da pele parda, sexo masculino, e a evolução ao óbito pela doença apresentou relação com a idade mais avançada e comorbidade. O Acre apresentou um coeficiente de mortalidade (óbitos por 100 mil habitantes) de 90,9 e de letalidade de 1,9%, sendo que o maior coeficiente de mortalidade foi verificado no município de Rio Branco (121,3/100 mil habitantes) e de letalidade em Rodrigues Alves (2,9%). A incidência da COVID-19 no Acre foi de 4.759,9 casos por 100 mil habitantes, os municípios de Assis Brasil e Xapuri apresentaram as maiores incidências do Estado com 10273,7 e 9330,8 novos casos por 100.000 habitantes, respectivamente.
Conclusão: apesar dos números acumulados de casos serem diferentes para um mesmo dia, o comportamento é bem similar, isto é, as curvas variam da mesma forma com o passar do tempo, independente do município observado.</description><identifier>ISSN: 0104-1282</identifier><identifier>EISSN: 2175-3598</identifier><identifier>DOI: 10.36311/jhgd.v31.12611</identifier><language>eng</language><publisher>Sao Paulo: Journal of Human Growth and Development</publisher><subject>Coronaviridae ; Coronaviruses ; COVID-19 ; Epidemiology ; Lethality ; Mortality ; RNA viruses</subject><ispartof>Revista brasileira de crescimento e desenvolvimento humano, 2021, Vol.31 (3), p.425-435</ispartof><rights>2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Lima de Assis, Edimilson</creatorcontrib><creatorcontrib>José de Deus Morais, Mauro</creatorcontrib><creatorcontrib>De Oliveira Eichemberg, Jorge</creatorcontrib><creatorcontrib>Rigamonte Azevedo de Assis, Valéria</creatorcontrib><creatorcontrib>Macedo Junior, Hugo</creatorcontrib><creatorcontrib>Bianca Barbary de Deus, Maura</creatorcontrib><creatorcontrib>Carlos de Abreu, Luiz</creatorcontrib><title>Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil</title><title>Revista brasileira de crescimento e desenvolvimento humano</title><description>Introduction: coronavirus is part of a group of RNA viruses belonging to the Coronaviridae family, widely distributed in humans and other mammals. Currently, it has been seriously affecting the whole world, without a definitive cure yet.
Objective: to analyse the association between the HDI and confirmed cumulative cases of COVID-19 that occurred during epidemiological week 16 to 53 of 2020, in the State of Acre.
Methods: this is an ecological study of descriptive time series, evaluating the State of Acre and its 22 municipalities affected by COVID-19, in the period corresponding to the epidemiological weeks 16 to 53 of 2020. The State of Acre and its municipalities are aggregated by five regions with a total of approximately 881 thousand inhabitants, with an HDI of 0.663. Rio Branco is the state capital with 407,000 inhabitants. The 22 municipalities were analyzed, relating the HDI variables, confirmed cases per day and number of inhabitants to each other.
Results: it was observed that the population evaluated, affected by COVID-19 during SE 16 to 53 of 2020, in the State of Acre, had as predominant general characteristics brown skin color, male sex, and the evolution to death from the disease was related with older age and comorbidity. Acre had a mortality rate (deaths per 100,000 inhabitants) of 90.9 and a lethality rate of 1.9%, with the highest mortality rate observed in the municipality of Rio Branco (121.3/100,000 inhabitants) and lethality in Rodrigues Alves (2.9%). The incidence of COVID-19 in Acre was 4,759.9 cases per 100,000 inhabitants, the municipalities of Assis Brasil and Xapuri had the highest incidences in the state with 10273.7 and 9330.8 new cases per 100,000 inhabitants, respectively.
Conclusion: although the accumulated numbers of cases are different for the same day, the behavior is very similar, that is, the curves vary in the same way over time, regardless of the municipality observed.
Introdução: o coronavírus faz parte de um grupo de vírus de RNA pertencente à família Coronaviridae, amplamente distribuídos em humanos e outros mamíferos. Atualmente, vem atingindo de forma grave o mundo todo, sem ainda existir uma cura definitiva.
Objetivo: analisar a associação entre o IDH e os casos acumulados confirmados de COVID-19 que ocorreram durante a semana epidemiológica (SE) 16 até a (SE) 53 de 2020, no Estado do Acre.
Método: trata-se de um estudo ecológico de séries temporais de caráter descritivo, sendo avaliado o Estado do Acre e seus 22 municípios atingidos pela COVID-19, no período correspondente à SE 16 a 53 de 2020. O Estado do Acre e seus municípios são agregados por cinco regionais com um total de, aproximadamente, 881 mil habitantes, tendo um IDH de 0,663. Rio Branco é a capital do Estado com 407 mil habitantes. Foram analisados os 22 municípios, relacionando entre si as variáveis IDH, casos confirmados por dia e números de habitantes.
Resultados: observou-se que a população avaliada acometidas pela COVID-19 durante a SE 16 a 53 de 2020, no Estado do Acre, teve como características gerais predominantes a cor da pele parda, sexo masculino, e a evolução ao óbito pela doença apresentou relação com a idade mais avançada e comorbidade. O Acre apresentou um coeficiente de mortalidade (óbitos por 100 mil habitantes) de 90,9 e de letalidade de 1,9%, sendo que o maior coeficiente de mortalidade foi verificado no município de Rio Branco (121,3/100 mil habitantes) e de letalidade em Rodrigues Alves (2,9%). A incidência da COVID-19 no Acre foi de 4.759,9 casos por 100 mil habitantes, os municípios de Assis Brasil e Xapuri apresentaram as maiores incidências do Estado com 10273,7 e 9330,8 novos casos por 100.000 habitantes, respectivamente.
Conclusão: apesar dos números acumulados de casos serem diferentes para um mesmo dia, o comportamento é bem similar, isto é, as curvas variam da mesma forma com o passar do tempo, independente do município observado.</description><subject>Coronaviridae</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Epidemiology</subject><subject>Lethality</subject><subject>Mortality</subject><subject>RNA viruses</subject><issn>0104-1282</issn><issn>2175-3598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNotkE1PAjEQhhujiUQ5e23i1YVOP3a7R0RUEhIufhyb7m4LxWWL3S5Gfr0LOJdJJs_MvHkQugMyYikDGG_Wq2q0ZzACmgJcoAGFTCRM5PISDQgQngCV9BoN23ZD-mIMcpIOUJztfd1F5xvsLZ4uP-ZPCeS46oJrVjiuDTY7V5mt87VfuVLX-MeYLwwpjh4LdlyihBLsmhPcRh3NcTgpg8Gfpo0mNHiy1QffOP2AH4M-uPoWXVldt2b432_Q-_PsbfqaLJYv8-lkkZTAZExEXlihUyGyKpecF5mwPEurzBgmBAVthSyMlFBoQmhlZVpwnjEtrTDAmQZ2g-7Pd3fBf3d9GLXxXWj6l6q3xPNeieA9NT5TZfBtG4xVu-C2OvwqIOpkVx3tqt6uOtllf5uKatU</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Lima de Assis, Edimilson</creator><creator>José de Deus Morais, Mauro</creator><creator>De Oliveira Eichemberg, Jorge</creator><creator>Rigamonte Azevedo de Assis, Valéria</creator><creator>Macedo Junior, Hugo</creator><creator>Bianca Barbary de Deus, Maura</creator><creator>Carlos de Abreu, Luiz</creator><general>Journal of Human Growth and Development</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>2021</creationdate><title>Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil</title><author>Lima de Assis, Edimilson ; José de Deus Morais, Mauro ; De Oliveira Eichemberg, Jorge ; Rigamonte Azevedo de Assis, Valéria ; Macedo Junior, Hugo ; Bianca Barbary de Deus, Maura ; Carlos de Abreu, Luiz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c138t-59bf5a6557d9844b75f476d7ee35521af58be881ba002df86b4473a8f5e143a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Coronaviridae</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Epidemiology</topic><topic>Lethality</topic><topic>Mortality</topic><topic>RNA viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lima de Assis, Edimilson</creatorcontrib><creatorcontrib>José de Deus Morais, Mauro</creatorcontrib><creatorcontrib>De Oliveira Eichemberg, Jorge</creatorcontrib><creatorcontrib>Rigamonte Azevedo de Assis, Valéria</creatorcontrib><creatorcontrib>Macedo Junior, Hugo</creatorcontrib><creatorcontrib>Bianca Barbary de Deus, Maura</creatorcontrib><creatorcontrib>Carlos de Abreu, Luiz</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Revista brasileira de crescimento e desenvolvimento humano</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lima de Assis, Edimilson</au><au>José de Deus Morais, Mauro</au><au>De Oliveira Eichemberg, Jorge</au><au>Rigamonte Azevedo de Assis, Valéria</au><au>Macedo Junior, Hugo</au><au>Bianca Barbary de Deus, Maura</au><au>Carlos de Abreu, Luiz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil</atitle><jtitle>Revista brasileira de crescimento e desenvolvimento humano</jtitle><date>2021</date><risdate>2021</risdate><volume>31</volume><issue>3</issue><spage>425</spage><epage>435</epage><pages>425-435</pages><issn>0104-1282</issn><eissn>2175-3598</eissn><abstract>Introduction: coronavirus is part of a group of RNA viruses belonging to the Coronaviridae family, widely distributed in humans and other mammals. Currently, it has been seriously affecting the whole world, without a definitive cure yet.
Objective: to analyse the association between the HDI and confirmed cumulative cases of COVID-19 that occurred during epidemiological week 16 to 53 of 2020, in the State of Acre.
Methods: this is an ecological study of descriptive time series, evaluating the State of Acre and its 22 municipalities affected by COVID-19, in the period corresponding to the epidemiological weeks 16 to 53 of 2020. The State of Acre and its municipalities are aggregated by five regions with a total of approximately 881 thousand inhabitants, with an HDI of 0.663. Rio Branco is the state capital with 407,000 inhabitants. The 22 municipalities were analyzed, relating the HDI variables, confirmed cases per day and number of inhabitants to each other.
Results: it was observed that the population evaluated, affected by COVID-19 during SE 16 to 53 of 2020, in the State of Acre, had as predominant general characteristics brown skin color, male sex, and the evolution to death from the disease was related with older age and comorbidity. Acre had a mortality rate (deaths per 100,000 inhabitants) of 90.9 and a lethality rate of 1.9%, with the highest mortality rate observed in the municipality of Rio Branco (121.3/100,000 inhabitants) and lethality in Rodrigues Alves (2.9%). The incidence of COVID-19 in Acre was 4,759.9 cases per 100,000 inhabitants, the municipalities of Assis Brasil and Xapuri had the highest incidences in the state with 10273.7 and 9330.8 new cases per 100,000 inhabitants, respectively.
Conclusion: although the accumulated numbers of cases are different for the same day, the behavior is very similar, that is, the curves vary in the same way over time, regardless of the municipality observed.
Introdução: o coronavírus faz parte de um grupo de vírus de RNA pertencente à família Coronaviridae, amplamente distribuídos em humanos e outros mamíferos. Atualmente, vem atingindo de forma grave o mundo todo, sem ainda existir uma cura definitiva.
Objetivo: analisar a associação entre o IDH e os casos acumulados confirmados de COVID-19 que ocorreram durante a semana epidemiológica (SE) 16 até a (SE) 53 de 2020, no Estado do Acre.
Método: trata-se de um estudo ecológico de séries temporais de caráter descritivo, sendo avaliado o Estado do Acre e seus 22 municípios atingidos pela COVID-19, no período correspondente à SE 16 a 53 de 2020. O Estado do Acre e seus municípios são agregados por cinco regionais com um total de, aproximadamente, 881 mil habitantes, tendo um IDH de 0,663. Rio Branco é a capital do Estado com 407 mil habitantes. Foram analisados os 22 municípios, relacionando entre si as variáveis IDH, casos confirmados por dia e números de habitantes.
Resultados: observou-se que a população avaliada acometidas pela COVID-19 durante a SE 16 a 53 de 2020, no Estado do Acre, teve como características gerais predominantes a cor da pele parda, sexo masculino, e a evolução ao óbito pela doença apresentou relação com a idade mais avançada e comorbidade. O Acre apresentou um coeficiente de mortalidade (óbitos por 100 mil habitantes) de 90,9 e de letalidade de 1,9%, sendo que o maior coeficiente de mortalidade foi verificado no município de Rio Branco (121,3/100 mil habitantes) e de letalidade em Rodrigues Alves (2,9%). A incidência da COVID-19 no Acre foi de 4.759,9 casos por 100 mil habitantes, os municípios de Assis Brasil e Xapuri apresentaram as maiores incidências do Estado com 10273,7 e 9330,8 novos casos por 100.000 habitantes, respectivamente.
Conclusão: apesar dos números acumulados de casos serem diferentes para um mesmo dia, o comportamento é bem similar, isto é, as curvas variam da mesma forma com o passar do tempo, independente do município observado.</abstract><cop>Sao Paulo</cop><pub>Journal of Human Growth and Development</pub><doi>10.36311/jhgd.v31.12611</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Revista brasileira de crescimento e desenvolvimento humano, 2021, Vol.31 (3), p.425-435 |
| issn | 0104-1282 2175-3598 |
| language | eng |
| recordid | cdi_proquest_journals_2614912854 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Coronaviridae Coronaviruses COVID-19 Epidemiology Lethality Mortality RNA viruses |
| title | Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-19T04%3A03%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evolution%20of%20COVID-19%20during%20the%20epidemiological%20week%2016%20to%2053%20of%202020%20in%20the%20state%20of%20Acre%20Western%20Amazonia,%20Brazil&rft.jtitle=Revista%20brasileira%20de%20crescimento%20e%20desenvolvimento%20humano&rft.au=Lima%20de%20Assis,%20Edimilson&rft.date=2021&rft.volume=31&rft.issue=3&rft.spage=425&rft.epage=435&rft.pages=425-435&rft.issn=0104-1282&rft.eissn=2175-3598&rft_id=info:doi/10.36311/jhgd.v31.12611&rft_dat=%3Cproquest_cross%3E2614912854%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2614912854&rft_id=info:pmid/&rfr_iscdi=true |