Literature DB >> 35194620

Structural factors contributing to SARS-CoV-2 infection risk in the urban slum setting.

Mariam O Fofana1, Nivison Nery2,3, Juan P Aguilar Ticona2,3, Emilia M M A Belitardo2,3, Renato Victoriano3, Rôsangela O Anjos3, Moyra M Portilho3, Mayara C de Santana3, Laiara L Dos Santos3, Daiana de Oliveira3, Jaqueline S Cruz3, M Cate Muencker3, Ricardo Khouri3, Elsio A Wunder1, Matthew D T Hitchings4, Olatunji Johnson5, Mitermayer G Reis1,3,6, Guilherme S Ribeiro3,6, Derek A T Cummings7,8, Federico Costa1,2,3, Albert I Ko1,3.   

Abstract

BACKGROUND: The structural environment of urban slums, including physical, demographic and socioeconomic attributes, renders inhabitants more vulnerable to SARS-CoV-2 infection. Yet, little is known about the specific determinants that contribute to high transmission within these communities. METHODS AND
FINDINGS: We performed a serosurvey of an established cohort of 2,035 urban slum residents from the city of Salvador, Brazil between November 2020 and February 2021, following the first COVID-19 pandemic wave in the country. We identified high SARS-CoV-2 seroprevalence (46.4%, 95% confidence interval [CI] 44.3-48.6%), particularly among female residents (48.7% [95% CI 45.9-51.6%] vs. 43.2% [95% CI 39.8-46.6%] among male residents), and among children (56.5% [95% CI 52.3-60.5%] vs. 42.4% [95% CI 39.9-45.0%] among adults). In multivariable models that accounted for household-level clustering, the odds ratio for SARS-CoV-2 seropositivity among children was 1.96 (95% CI 1.42-2.72) compared to adults aged 30-44 years. Adults residing in households with children were more likely to be seropositive; this effect was particularly prominent among individuals with age 30-44 and 60 years or more. Women living below the poverty threshold (daily per capita household income <$1.25) and those who were unemployed were more likely to be seropositive.
CONCLUSIONS: During a single wave of the COVID-19 pandemic, cumulative incidence as assessed by serology approached 50% in a Brazilian urban slum population. In contrast to observations from industrialized countries, SARS-CoV-2 incidence was highest among children, as well as women living in extreme poverty. These findings emphasize the need for targeted interventions that provide safe environments for children and mitigate the structural risks posed by crowding and poverty for the most vulnerable residents of urban slum communities.

Entities:  

Year:  2022        PMID: 35194620      PMCID: PMC8863166          DOI: 10.1101/2022.02.13.22270856

Source DB:  PubMed          Journal:  medRxiv


  30 in total

1.  Impact of preexisting dengue immunity on Zika virus emergence in a dengue endemic region.

Authors:  Isabel Rodriguez-Barraquer; Federico Costa; Eduardo J M Nascimento; Nivison Nery; Priscila M S Castanha; Gielson Almeida Sacramento; Jaqueline Cruz; Mayara Carvalho; Daiana De Olivera; José E Hagan; Haritha Adhikarla; Elsio A Wunder; Danilo F Coêlho; Sasha R Azar; Shannan L Rossi; Nikos Vasilakis; Scott C Weaver; Guilherme S Ribeiro; Angel Balmaseda; Eva Harris; Maurício L Nogueira; Mitermayer G Reis; Ernesto T A Marques; Derek A T Cummings; Albert I Ko
Journal:  Science       Date:  2019-02-08       Impact factor: 47.728

2.  Susceptibility to SARS-CoV-2 Infection Among Children and Adolescents Compared With Adults: A Systematic Review and Meta-analysis.

Authors:  Russell M Viner; Oliver T Mytton; Chris Bonell; G J Melendez-Torres; Joseph Ward; Lee Hudson; Claire Waddington; James Thomas; Simon Russell; Fiona van der Klis; Archana Koirala; Shamez Ladhani; Jasmina Panovska-Griffiths; Nicholas G Davies; Robert Booy; Rosalind M Eggo
Journal:  JAMA Pediatr       Date:  2021-02-01       Impact factor: 16.193

Review 3.  Improving the health and welfare of people who live in slums.

Authors:  Richard J Lilford; Oyinlola Oyebode; David Satterthwaite; G J Melendez-Torres; Yen-Fu Chen; Blessing Mberu; Samuel I Watson; Jo Sartori; Robert Ndugwa; Waleska Caiaffa; Tilahun Haregu; Anthony Capon; Ruhi Saith; Alex Ezeh
Journal:  Lancet       Date:  2016-10-16       Impact factor: 79.321

4.  Spatial Distribution of Dengue in a Brazilian Urban Slum Setting: Role of Socioeconomic Gradient in Disease Risk.

Authors:  Mariana Kikuti; Geraldo M Cunha; Igor A D Paploski; Amelia M Kasper; Monaise M O Silva; Aline S Tavares; Jaqueline S Cruz; Tássia L Queiroz; Moreno S Rodrigues; Perla M Santana; Helena C A V Lima; Juan Calcagno; Daniele Takahashi; André H O Gonçalves; Josélio M G Araújo; Kristine Gauthier; Maria A Diuk-Wasser; Uriel Kitron; Albert I Ko; Mitermayer G Reis; Guilherme S Ribeiro
Journal:  PLoS Negl Trop Dis       Date:  2015-07-21

5.  Effect of socioeconomic inequalities and vulnerabilities on health-system preparedness and response to COVID-19 in Brazil: a comprehensive analysis.

Authors:  Rudi Rocha; Rifat Atun; Adriano Massuda; Beatriz Rache; Paula Spinola; Letícia Nunes; Miguel Lago; Marcia C Castro
Journal:  Lancet Glob Health       Date:  2021-04-12       Impact factor: 26.763

6.  Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile.

Authors:  Gonzalo E Mena; Pamela P Martinez; Caroline O Buckee; Mauricio Santillana; Ayesha S Mahmud; Pablo A Marquet
Journal:  Science       Date:  2021-04-27       Impact factor: 47.728

7.  Seroprevalence of anti-SARS-CoV-2 IgG at the first epidemic peak in French Guiana, July 2020.

Authors:  Claude Flamand; Christelle Alves Sarmento; Antoine Enfissi; Sarah Bailly; Emmanuel Beillard; Mélanie Gaillet; Céline Michaud; Véronique Servas; Nathalie Clement; Anaïs Perilhou; Thierry Carage; Didier Musso; Jean-François Carod; Stéphanie Eustache; Céline Tourbillon; Elodie Boizon; Samantha James; Félix Djossou; Henrik Salje; Simon Cauchemez; Dominique Rousset
Journal:  PLoS Negl Trop Dis       Date:  2021-11-12

8.  SARS-CoV-2 antibody prevalence in Brazil: results from two successive nationwide serological household surveys.

Authors:  Pedro C Hallal; Fernando P Hartwig; Bernardo L Horta; Mariângela F Silveira; Claudio J Struchiner; Luís P Vidaletti; Nelson A Neumann; Lucia C Pellanda; Odir A Dellagostin; Marcelo N Burattini; Gabriel D Victora; Ana M B Menezes; Fernando C Barros; Aluísio J D Barros; Cesar G Victora
Journal:  Lancet Glob Health       Date:  2020-09-23       Impact factor: 26.763

9.  Spatial dynamics of the COVID-19 pandemic in Brazil.

Authors:  R R Castro; R S C Santos; G J B Sousa; Y T Pinheiro; R R I M Martins; M L D Pereira; R A R Silva
Journal:  Epidemiol Infect       Date:  2021-02-25       Impact factor: 2.451

10.  Targeting the World's Slums as Fat Tails in the Distribution of COVID-19 Cases.

Authors:  Robert M Buckley
Journal:  J Urban Health       Date:  2020-06       Impact factor: 5.801

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