Covid-19: Estudo da infectividade no Município de Garanhuns - PE Article Swipe
Dherfferson Montini Barros
,
Dâmocles Aurélio Nascimento da Silva Alves
,
Gabriela Isabel Limoeiro Alves Nascimento
,
Rosângela Estêvão Alves Falcão
,
Moacyr Cunha Filho
,
Régia Maria Batista Leite
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.33448/rsd-v9i9.7176
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.33448/rsd-v9i9.7176
A Covid-19 não é um problema local, mas um grave desafio para saúde pública, que afeta diferentes continentes e tem sido objeto de ações governamentais de diferentes esferas no município de Garanhuns. Este estudo objetivou analisar a taxa de infectividade de Covid-19, no município de Garanhuns, através do número reprodutivo efetivo do novo coronavírus. O número reprodutivo efetivo é usado frequentemente em modelos epidemiológicos. Para isso, foi necessário a utilização do gráfico de incidência e de uma distribuição paramétrica que representou a probabilidade de casos sucessivos no tempo transcorrido. Para garantir a consistência da estimativa usamos estimativas consistentes para a média e desvio-padrão da distribuição. Simulamos os parâmetros de acordo com a mais recente literatura sobre o assunto, garantindo estimativas mais adequadas para projeção em nossas análises. Ressaltamos que adaptamos os parâmetros de acordo com a realidade que um paciente infectado em média leva para procurar atendimento hospitalar após apresentar os primeiros sintomas de Covid-19. Os resultados demonstram que, até a data analisada, as medidas não foram suficientes para reduzir, de forma eficaz, a infectividade a um valor que permita afirmar que não há mais a propagação da doença. O estudo permitiu compreender a evolução da pandemia e a eficácia deas medidas públicas.
Related Topics
Concepts
Coronavirus disease 2019 (COVID-19)
Biology
Humanities
Medicine
Philosophy
Internal medicine
Infectious disease (medical specialty)
Disease
Metadata
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- Language
- pt
- Landing Page
- https://doi.org/10.33448/rsd-v9i9.7176
- https://rsdjournal.org/index.php/rsd/article/download/7176/6449
- OA Status
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- Cited By
- 3
- References
- 10
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3081052138Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.33448/rsd-v9i9.7176Digital Object Identifier
- Title
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Covid-19: Estudo da infectividade no Município de Garanhuns - PEWork title
- Type
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articleOpenAlex work type
- Language
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ptPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-08-19Full publication date if available
- Authors
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Dherfferson Montini Barros, Dâmocles Aurélio Nascimento da Silva Alves, Gabriela Isabel Limoeiro Alves Nascimento, Rosângela Estêvão Alves Falcão, Moacyr Cunha Filho, Régia Maria Batista LeiteList of authors in order
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https://doi.org/10.33448/rsd-v9i9.7176Publisher landing page
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https://rsdjournal.org/index.php/rsd/article/download/7176/6449Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://rsdjournal.org/index.php/rsd/article/download/7176/6449Direct OA link when available
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Coronavirus disease 2019 (COVID-19), Biology, Humanities, Medicine, Philosophy, Internal medicine, Infectious disease (medical specialty), DiseaseTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
- Citations by year (recent)
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2020: 3Per-year citation counts (last 5 years)
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10Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Para | 64, 89 |
| abstract_inverted_index.até | 159 |
| abstract_inverted_index.data | 161 |
| abstract_inverted_index.deas | 200 |
| abstract_inverted_index.leva | 143 |
| abstract_inverted_index.mais | 112, 120, 184 |
| abstract_inverted_index.novo | 52 |
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| abstract_inverted_index.estudo | 33, 190 |
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| abstract_inverted_index.afirmar | 180 |
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| abstract_inverted_index.efetivo | 50, 57 |
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| abstract_inverted_index.esferas | 27 |
| abstract_inverted_index.medidas | 164, 201 |
| abstract_inverted_index.modelos | 62 |
| abstract_inverted_index.número | 48, 55 |
| abstract_inverted_index.permita | 179 |
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| abstract_inverted_index.analisar | 35 |
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| abstract_inverted_index.doença. | 188 |
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| abstract_inverted_index.pandemia | 196 |
| abstract_inverted_index.permitiu | 191 |
| abstract_inverted_index.problema | 5 |
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| abstract_inverted_index.reduzir, | 169 |
| abstract_inverted_index.sintomas | 152 |
| abstract_inverted_index.Covid-19, | 41 |
| abstract_inverted_index.Covid-19. | 154 |
| abstract_inverted_index.Simulamos | 105 |
| abstract_inverted_index.adaptamos | 129 |
| abstract_inverted_index.adequadas | 121 |
| abstract_inverted_index.eficácia | 199 |
| abstract_inverted_index.infectado | 140 |
| abstract_inverted_index.objetivou | 34 |
| abstract_inverted_index.primeiros | 151 |
| abstract_inverted_index.pública, | 13 |
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| abstract_inverted_index.análises. | 126 |
| abstract_inverted_index.apresentar | 149 |
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| abstract_inverted_index.estimativa | 94 |
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| abstract_inverted_index.garantindo | 118 |
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| abstract_inverted_index.literatura | 114 |
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| abstract_inverted_index.projeção | 123 |
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| abstract_inverted_index.sucessivos | 85 |
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| abstract_inverted_index.atendimento | 146 |
| abstract_inverted_index.compreender | 192 |
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| abstract_inverted_index.estimativas | 96, 119 |
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| abstract_inverted_index.necessário | 67 |
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| abstract_inverted_index.epidemiológicos. | 63 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.49230641 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |