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dc.contributor.author | Lalwani, P. | |
dc.contributor.author | Salgado, B.B. | |
dc.contributor.author | Filho, I.V.P. | |
dc.contributor.author | da Silva, D.S.S. | |
dc.contributor.author | de Morais, T.B.D.N. | |
dc.contributor.author | Jordão, M.F. | |
dc.contributor.author | Barbosa, A.R.C. | |
dc.contributor.author | Cordeiro, I.B. | |
dc.contributor.author | Neto, J.N.D.S. | |
dc.contributor.author | de Assunção, E.N. | |
dc.contributor.author | dos Santos, R.O. | |
dc.contributor.author | Carvalho, N.O. | |
dc.contributor.author | Sobrinho, W.B.S. | |
dc.contributor.author | da Costa, C.F. | |
dc.contributor.author | de Souza, P.E. | |
dc.contributor.author | de Albuquerque, B.C. | |
dc.contributor.author | Ganoza Gallardo, Christian Alejandro | |
dc.contributor.author | Araujo-Castillo, R.V. | |
dc.contributor.author | Filho, S.A. | |
dc.contributor.author | Lalwani, J.D.B. | |
dc.contributor.author | The DETECTCoV-19 Study Team | |
dc.date.accessioned | 2021-10-04T23:01:00Z | |
dc.date.available | 2021-10-04T23:01:00Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12866/9887 | |
dc.description.abstract | Background: Manaus, located in the Brazilian rainforest, has experienced two health system collapses due to the coronavirus disease 2019 (COVID-19) pandemic. However, little is known about which groups among the general population have been most affected. Methods: A convenience sampling strategy via online advertising recruited 3046 adults between 19 August 2020 and 2 October 2020. Sociodemographic characteristics, COVID-19-related symptoms, COVID-19 testing, self-medication and prescribed medications were recorded. Serum anti-severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) nucleocapsid immunoglobulin G antibodies were measured with an enzyme-linked immunosorbent assay. Prevalence ratios (PR) were obtained using cluster-corrected and adjusted Poisson's regression models. Results: A crude positivity rate among asymptomatic and symptomatic individuals was estimated at 29.10%, with maximum possible seroprevalence of 44.82% corrected by test characteristics and an antibody decay rate of 32.31%. Regression models demonstrated a strong association towards marginalized low-income and vulnerable residents with limited access to health care. The presence of a COVID-19 case [PR 1.39, 95% confidence interval (CI) 1.24–1.57] or death (PR 2.14, 95% CI 1.74–2.62) in a household greatly increased the risk of other household members acquiring infection. The seroprevalence of SARS-CoV-2 was higher among those who self-medicated to prevent infection (PR 1.36, 95% CI 1.27–1.46). Conclusions: Disproportionate socio-economic disparity was observed among the study participants. The syndemic nature of COVID-19 in the Amazon region needs differential policies and urgent solutions to control the ongoing pandemic | en_US |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.ispartofseries | International Journal of Infectious Diseases | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | Amazon | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Epidemiology | en_US |
dc.subject | Risk factors | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | Seroprevalence | en_US |
dc.title | SARS-CoV-2 seroprevalence and associated factors in Manaus, Brazil: baseline results from the DETECTCoV-19 cohort study | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | https://doi.org/10.1016/j.ijid.2021.07.017 | |
dc.relation.issn | 1878-3511 |
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