Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
Objective: To describe the methods used in a rapid review of the literature and to present the main epidemiological parameters that describe the transmission of SARS-Cov-2 and the illness caused by this virus, coronavirus disease 2019 (COVID-19).Methods: This is a methodological protocol that enable...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-12-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2020.598547/full |
| _version_ | 1819072764225519616 |
|---|---|
| author | Luciana Guerra Gallo Ana Flávia de Morais Oliveira Ana Flávia de Morais Oliveira Amanda Amaral Abrahão Leticia Assad Maia Sandoval Yure Rodrigues Araújo Martins Maria Almirón Fabiana Sherine Ganem dos Santos Wildo Navegantes Araújo Wildo Navegantes Araújo Maria Regina Fernandes de Oliveira Maria Regina Fernandes de Oliveira Henry Maia Peixoto Henry Maia Peixoto |
| author_facet | Luciana Guerra Gallo Ana Flávia de Morais Oliveira Ana Flávia de Morais Oliveira Amanda Amaral Abrahão Leticia Assad Maia Sandoval Yure Rodrigues Araújo Martins Maria Almirón Fabiana Sherine Ganem dos Santos Wildo Navegantes Araújo Wildo Navegantes Araújo Maria Regina Fernandes de Oliveira Maria Regina Fernandes de Oliveira Henry Maia Peixoto Henry Maia Peixoto |
| author_sort | Luciana Guerra Gallo |
| collection | DOAJ |
| description | Objective: To describe the methods used in a rapid review of the literature and to present the main epidemiological parameters that describe the transmission of SARS-Cov-2 and the illness caused by this virus, coronavirus disease 2019 (COVID-19).Methods: This is a methodological protocol that enabled a rapid review of COVID-19 epidemiological parameters.Findings: The protocol consisted of the following steps: definition of scope; eligibility criteria; information sources; search strategies; selection of studies; and data extraction. Four reviewers and three supervisors conducted this review in 40 days. Of the 1,266 studies found, 65 were included, mostly observational and descriptive in content, indicating relative homogeneity as to the quality of the evidence. The variation in the basic reproduction number, between 0.48 and 14.8; and the median of the hospitalization period, between 7.5 and 20.5 days stand out as key findings.Conclusion: We identified and synthesized 10 epidemiological parameters that may support predictive models and other rapid reviews to inform modeling of this and other future public health emergencies. |
| first_indexed | 2024-12-21T17:42:54Z |
| format | Article |
| id | doaj.art-e89ceddc94724a24ae981337fcfd61fd |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-21T17:42:54Z |
| publishDate | 2020-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-e89ceddc94724a24ae981337fcfd61fd2022-12-21T18:55:34ZengFrontiers Media S.A.Frontiers in Public Health2296-25652020-12-01810.3389/fpubh.2020.598547598547Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the PandemicLuciana Guerra Gallo0Ana Flávia de Morais Oliveira1Ana Flávia de Morais Oliveira2Amanda Amaral Abrahão3Leticia Assad Maia Sandoval4Yure Rodrigues Araújo Martins5Maria Almirón6Fabiana Sherine Ganem dos Santos7Wildo Navegantes Araújo8Wildo Navegantes Araújo9Maria Regina Fernandes de Oliveira10Maria Regina Fernandes de Oliveira11Henry Maia Peixoto12Henry Maia Peixoto13Tropical Medicine Center, University of Brasília (UnB), Brasília, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilFederal Institute of Education, Science and Technology of Tocantins (Instituto Federal Do Tocantins—IFTO), Araguaína, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilPan American Health Organization (PAHO), Brasília, BrazilPan American Health Organization (PAHO), Brasília, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilHealth Technology Assessment Institute (Instituto de Avaliação de Tecnologia em Saúde—IATS/Conselho Nacional de Desenvolvimento Científico e Tecnológico), Porto Alegre, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilHealth Technology Assessment Institute (Instituto de Avaliação de Tecnologia em Saúde—IATS/Conselho Nacional de Desenvolvimento Científico e Tecnológico), Porto Alegre, BrazilTropical Medicine Center, University of Brasília (UnB), Brasília, BrazilHealth Technology Assessment Institute (Instituto de Avaliação de Tecnologia em Saúde—IATS/Conselho Nacional de Desenvolvimento Científico e Tecnológico), Porto Alegre, BrazilObjective: To describe the methods used in a rapid review of the literature and to present the main epidemiological parameters that describe the transmission of SARS-Cov-2 and the illness caused by this virus, coronavirus disease 2019 (COVID-19).Methods: This is a methodological protocol that enabled a rapid review of COVID-19 epidemiological parameters.Findings: The protocol consisted of the following steps: definition of scope; eligibility criteria; information sources; search strategies; selection of studies; and data extraction. Four reviewers and three supervisors conducted this review in 40 days. Of the 1,266 studies found, 65 were included, mostly observational and descriptive in content, indicating relative homogeneity as to the quality of the evidence. The variation in the basic reproduction number, between 0.48 and 14.8; and the median of the hospitalization period, between 7.5 and 20.5 days stand out as key findings.Conclusion: We identified and synthesized 10 epidemiological parameters that may support predictive models and other rapid reviews to inform modeling of this and other future public health emergencies.https://www.frontiersin.org/articles/10.3389/fpubh.2020.598547/fullcoronavirus infectionsreviewparametersmethodsmodelsstatistical |
| spellingShingle | Luciana Guerra Gallo Ana Flávia de Morais Oliveira Ana Flávia de Morais Oliveira Amanda Amaral Abrahão Leticia Assad Maia Sandoval Yure Rodrigues Araújo Martins Maria Almirón Fabiana Sherine Ganem dos Santos Wildo Navegantes Araújo Wildo Navegantes Araújo Maria Regina Fernandes de Oliveira Maria Regina Fernandes de Oliveira Henry Maia Peixoto Henry Maia Peixoto Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic Frontiers in Public Health coronavirus infections review parameters methods models statistical |
| title | Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic |
| title_full | Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic |
| title_fullStr | Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic |
| title_full_unstemmed | Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic |
| title_short | Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic |
| title_sort | ten epidemiological parameters of covid 19 use of rapid literature review to inform predictive models during the pandemic |
| topic | coronavirus infections review parameters methods models statistical |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2020.598547/full |
| work_keys_str_mv | AT lucianaguerragallo tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT anaflaviademoraisoliveira tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT anaflaviademoraisoliveira tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT amandaamaralabrahao tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT leticiaassadmaiasandoval tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT yurerodriguesaraujomartins tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT mariaalmiron tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT fabianasherineganemdossantos tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT wildonavegantesaraujo tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT wildonavegantesaraujo tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT mariareginafernandesdeoliveira tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT mariareginafernandesdeoliveira tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT henrymaiapeixoto tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic AT henrymaiapeixoto tenepidemiologicalparametersofcovid19useofrapidliteraturereviewtoinformpredictivemodelsduringthepandemic |