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      SARS-CoV-2 seroprevalence and associated factors in Manaus, Brazil: baseline results from the DETECTCoV-19 cohort study

      research-article
      a , ** , , a , , a , b , , a , , a , , a , , a , c , , c , d , d , a , a , a , e , f , g , h , § , i , § , c , d , § , b , * , , The DETECTCoV-19 Study Team
      International Journal of Infectious Diseases
      The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
      Seroprevalence, Amazon, Epidemiology, Risk factors, SARS-CoV-2, COVID-19

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          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.

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          Most cited references34

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          Is Open Access

          The effect of human mobility and control measures on the COVID-19 epidemic in China

          The ongoing COVID-19 outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions have been undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We use real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation on transmission in cities across China and ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. Following the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19.
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            A serological assay to detect SARS-CoV-2 seroconversion in humans

            Here, we describe a serological enzyme-linked immunosorbent assay for the screening and identification of human SARS-CoV-2 seroconverters. This assay does not require the handling of infectious virus, can be adjusted to detect different antibody types in serum and plasma and is amenable to scaling. Serological assays are of critical importance to help define previous exposure to SARS-CoV-2 in populations, identify highly reactive human donors for convalescent plasma therapy and investigate correlates of protection.
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              The COVID-19 pandemic and health inequalities

              This essay examines the implications of the COVID-19 pandemic for health inequalities. It outlines historical and contemporary evidence of inequalities in pandemics—drawing on international research into the Spanish influenza pandemic of 1918, the H1N1 outbreak of 2009 and the emerging international estimates of socio-economic, ethnic and geographical inequalities in COVID-19 infection and mortality rates. It then examines how these inequalities in COVID-19 are related to existing inequalities in chronic diseases and the social determinants of health, arguing that we are experiencing a syndemic pandemic. It then explores the potential consequences for health inequalities of the lockdown measures implemented internationally as a response to the COVID-19 pandemic, focusing on the likely unequal impacts of the economic crisis. The essay concludes by reflecting on the longer-term public health policy responses needed to ensure that the COVID-19 pandemic does not increase health inequalities for future generations.
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                Author and article information

                Journal
                Int J Infect Dis
                Int J Infect Dis
                International Journal of Infectious Diseases
                The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
                1201-9712
                1878-3511
                14 July 2021
                September 2021
                14 July 2021
                : 110
                : 141-150
                Affiliations
                [a ]Instituto Leônidas e Maria Deane, Fiocruz Amazônia, Manaus , Amazonas , Brazil
                [b ]Faculdade de Ciências Farmacêuticas, Universidade Federal do Amazonas, Manaus, Amazonas, Brazil
                [c ]Instituto de Ciências Biológicas, Universidade Federal do Amazonas, Manaus, Amazonas, Brazil
                [d ]Centro de Apoio Multidisciplinar, Universidade Federal do Amazonas, Manaus, Amazonas, Brazil
                [e ]Fundação de Vigilância em Saúde do Amazonas, Manaus, Amazonas, Brazil
                [f ]Programa de Pós – Graduação em Cirurgia, Faculdade de Medicina, Universidade Federal do Amazona, Manaus, Amazonas, Brazil
                [g ]Faculdade de Medicina, Universidade Federal do Amazonas, Manaus, Amazonas, Brazil
                [h ]Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
                [i ]Facultad de Ciencias de la Salud, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
                Author notes
                [* ]Corresponding authors. Jaila Dias Borges Lalwani. Universidade Federal do Amazonas, Faculdade de Ciências Farmacêuticas (FCF), Av. General Rodrigo Octavio Jordão Ramos, 1200 - Coroado I, Manaus, Amazonas 69067-005, Brazil.
                [** ]Co-corresponding author. Pritesh Lalwani. Instituto Leônidas e Maria Deane, Fiocruz Amazônia, Rua Terezina 476, Adrianópolis. Manaus, Amazonas 69057-070, Brazil.
                [†]

                Authors contributed equally.

                [‡]

                Authors contributed equally.

                [§]

                Authors contributed equally.

                Article
                S1201-9712(21)00576-2
                10.1016/j.ijid.2021.07.017
                8346247
                34273518
                c54f408c-5760-42d8-ba3d-f35c8466cb19
                © 2021 The Authors

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 22 February 2021
                : 6 July 2021
                : 7 July 2021
                Categories
                Article

                Infectious disease & Microbiology
                seroprevalence,amazon,epidemiology,risk factors,sars-cov-2,covid-19
                Infectious disease & Microbiology
                seroprevalence, amazon, epidemiology, risk factors, sars-cov-2, covid-19

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