SARS-CoV-2 transmission in a highly vulnerable population of Brazil: a household cohort study

被引:2
|
作者
Coelho, Lara E. [1 ]
Luz, Paula M. [1 ]
Pires, Debora C. [1 ]
Jalil, Emilia M. [1 ]
Perazzo, Hugo [1 ]
Torres, Thiago S. [1 ]
Cardoso, Sandra W. [1 ]
Peixoto, Eduardo M. [1 ]
Nazer, Sandro [1 ]
Massad, Eduardo
Carvalho, Luiz Max
Requia, Weeberb J. [3 ]
Motta, Fernando Couto [4 ]
Siqueira, Marilda Mendonca [4 ]
Vasconcelos, Ana T. R. [5 ]
da Fonseca, Guilherme C. [5 ]
Cavalcante, Liliane T. F. [5 ]
Costa, Carlos A. M. [6 ]
Amancio, Rodrigo T. [7 ]
Villela, Daniel A. M. [8 ,9 ]
Pereira, Tiago [10 ]
Goedert, Guilherme T. [2 ]
Santos, Cleber V. B. D.
Rodrigues, Nadia C. P. [10 ]
de Souza Filho, Breno Augusto Bormann [6 ,12 ]
Csillag, Daniel [2 ]
Grinsztejn, Beatriz [1 ]
Veloso, Valdilea G. [1 ]
Struchiner, Claudio J. [2 ,11 ]
机构
[1] Fiocruz MS, Inst Nacl Infectol Evandro Chagas INI, BR-21040360 Rio De Janeiro, Brazil
[2] Fundacao Getulio Vargas, Escola Matemat Aplicada, Rio De Janeiro, Brazil
[3] Fundacao Getulio Vargas, Escola Polit Publ & Governo, Brasilia, Brazil
[4] Fiocruz MS, Inst Oswaldo Cruz, Lab Virus Resp Sarampo, Rio De Janeiro, Brazil
[5] Lab Nacl Computac Cient LNCC, Lab Bioinformat, Petropolis, Brazil
[6] Fiocruz MS, Escola Nacl Saude Publ Sergio Arouca ENSP, Rio De Janeiro, Brazil
[7] Hosp Fed Servidores Estado, Rio De Janeiro, Brazil
[8] Fiocruz MS, Programa Comp Cient PROCC, Rio De Janeiro, Brazil
[9] Princeton Univ, Ctr Hlth & Wellbeing, Sch Publ & Int Affairs, Princeton, NJ 08544 USA
[10] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, Sao Paulo, SP, Brazil
[11] Univ Estado Rio de Janeiro, Inst Med Social Hesio Cordeiro, Rio De Janeiro, RJ, Brazil
[12] Univ Fed Rio Grande do Norte, Dept Saude Colet, Rio Grande Do Norte, RN, Brazil
来源
基金
巴西圣保罗研究基金会;
关键词
Household transmission; COVID-19; Brazil; Social inequity; Transmission dynamics; COVID-19; HEALTH;
D O I
10.1016/j.lana.2024.100824
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Household transmission studies seek to understand the transmission dynamics of a pathogen by estimating the risk of infection from household contacts and community exposures. We estimated within/extrahousehold SARS-CoV-2 infection risk and associated factors in a household cohort study in one of the most vulnerable neighbourhoods in Rio de Janeiro city. Methods Individuals >= 1 years-old with suspected or confirmed fi rmed COVID-19 in the past 30 days (index cases) and household members aged >= 1 year were enrolled and followed at 14 and 28 days (study period November/2020-December/2021). - December/2021). RTPCR testing, COVID-19 symptoms, and SARS-CoV-2 serologies were ascertained in all visits. Chain binomial household transmission models were fi tted using data from 2024 individuals (593 households). Findings Extra-household infection risk was 74.2% (95% credible interval [CrI] 70.3-77.8), - 77.8), while within-household infection risk was 11.4% (95% CrI 5.7-17.2). - 17.2). Participants reporting having received two doses of a COVID-19 vaccine had lower extra-household (68.9%, 95% CrI 57.3-77.6) - 77.6) and within-household (4.1%, 95% CrI 0.4-16.6) - 16.6) infection risk. Within-household infection risk was higher among participants aged 10-19 - 19 years, from overcrowded households, and with low family income. Contrastingly, extra-household infection risk was higher among participants aged 20-29 - 29 years, unemployed, and public transportation users. Interpretation Our study provides important insights into COVID-19 household/community transmission in a vulnerable population that resided in overcrowded households and who struggled to adhere to lockdown policies and social distancing measures. The high extra-household infection risk highlights the extreme social vulnerability of this population. Prioritising vaccination of the most socially vulnerable could protect these individuals and reduce widespread community transmission. Funding Funda & ccedil;& atilde;o Oswaldo Cruz, CNPq, FAPERJ, Royal Society, Instituto Serrapilheira, FAPESP.
引用
收藏
页数:16
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