Typical epidemiology of respiratory virus infections in a Brazilian slum

Imagem de Miniatura
Arquivos
art_GOES_Typical_epidemiology_of_respiratory_virus_infections_in_a_2020.PDF (1.24 MB)
Citações na Scopus
25
Tipo de produção
article
Data de publicação
2020
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
WILEY
Autores
GOES, Luiz Gustavo Bentim
ZERBINATI, Rodrigo Melim
TATENO, Adriana Fumie
SOUZA, Andrea Vieira de
EBACH, Fabian
CORMAN, Victor M.
DURIGON, Edison Luiz
DREXLER, Jan Felix
Citação
JOURNAL OF MEDICAL VIROLOGY, v.92, n.8, p.1316-1321, 2020
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Host population size, density, immune status, age structure, and contact rates are critical elements of virus epidemiology. Slum populations stand out from other settings and may present differences in the epidemiology of acute viral infections. We collected nasopharyngeal specimens from 282 children aged <= 5 years with acute respiratory tract infection (ARI) during 2005 to 2006 in one of the largest Brazilian slums. We conducted real-time reverse transcription-polymerase chain reaction (RT-PCR) for 16 respiratory viruses, nested RT-PCR-based typing of rhinoviruses (HRVs), and collected clinical symptoms. Viruses were common causes of respiratory disease; with >= 1 virus being detected in 65.2% of patients. We detected 15 different viruses during 1 year with a predomidnance of HRV (33.0%) and human respiratory syncytial virus (hRSV, 12.1%) infections, and a high rate of viral coinfections (28.3%). We observed seasonality of hRSV, HRV and human coronavirus infections, more severe symptoms in hRSV and influenza virus (FLU) infections and prolonged circulation of seven HRV clusters likely representing distinct serotypes according to genomic sequence distances. Potentially unusual findings included the absence of human metapneumovirus detections and lack of typical FLU seasonal patterns, which may be linked to the population size and density of the slum. Nonetheless, most epidemiological patterns were similar to other studies globally, suggesting surprising similarities of virus-associated ARI across highly diverse settings and a complex impact of population characteristics on respiratory virus epidemiology.
Palavras-chave
acute respiratory infection, Brazil, epidemiology, real-time polymerase chain reaction, respiratory tract infections, slum, viruses
URI
https://observatorio.fm.usp.br/handle/OPI/36957
Referências
  1. Alonso WJ, 2007, AM J EPIDEMIOL, V165, P1434, DOI 10.1093/aje/kwm012
  2. Annan A, 2016, CLIN MICROBIOL INFEC, V22, P340, DOI 10.1016/j.cmi.2015.11.002
  3. Baumgarte S, 2008, J CLIN MICROBIOL, V46, P242, DOI 10.1128/JCM.01468-07
  4. Bezerra PGM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018928
  5. Bigogo GM, 2013, J INFECT DIS, V208, pS207, DOI 10.1093/infdis/jit489
  6. Breiman RF, 2015, BMC INFECT DIS, V15, DOI 10.1186/s12879-015-0827-x
  7. Brooks WA, 2007, EMERG INFECT DIS, V13, P1611, DOI 10.3201/eid1310.070337
  8. Castro Melania X, 2003, Braz J Infect Dis, V7, P387, DOI 10.1590/S1413-86702003000600006
  9. DEARRUDA E, 1991, J INFECT DIS, V164, P252, DOI 10.1093/infdis/164.2.252
  10. Durigon GS, 2015, INT J INFECT DIS, V34, P3, DOI 10.1016/j.ijid.2015.03.003
  11. Gohn MdG, 2010, CAD CRH, V23, P14
  12. Gregianini TS, 2018, REV SOC BRAS MED TRO, V51, P30, DOI 10.1590/0037-8682-0435-2017
  13. Hu H, 2013, MATH BIOSCI, V244, P125, DOI 10.1016/j.mbs.2013.04.013
  14. Jacobs SE, 2013, CLIN MICROBIOL REV, V26, P135, DOI 10.1128/CMR.00077-12
  15. Kutter JS, 2018, CURR OPIN VIROL, V28, P142, DOI 10.1016/j.coviro.2018.01.001
  16. Lam TT, 2019, J INFECTION, V79, P373, DOI 10.1016/j.jinf.2019.07.008
  17. Leotte J, 2017, J PEDIAT-BRAZIL, V93, P294, DOI 10.1016/j.jped.2016.07.004
  18. Li Y, 2019, LANCET GLOB HEALTH, V7, pE1031, DOI 10.1016/S2214-109X(19)30264-5
  19. Mahony JB, 2008, CLIN MICROBIOL REV, V21, P716, DOI 10.1128/CMR.00037-07
  20. Netto EM, 2017, MBIO, V8, DOI [10.1128/mBio.01390-17, 10.1128/mbio.01390-17]
  21. Oliveira DBL, 2009, J MED VIROL, V81, P915, DOI 10.1002/jmv.21436
  22. Raboni SM, 2018, BMJ OPEN, V8, DOI 10.1136/bmjopen-2017-017603
  23. Rahman SR, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2275-5
  24. Riley Lee W, 2007, BMC Int Health Hum Rights, V7, P2, DOI 10.1186/1472-698X-7-2
  25. Sansone M, 2013, EUR J CLIN MICROBIOL, V32, P947, DOI 10.1007/s10096-013-1832-x
  26. Savolainen C, 2002, VIRUS RES, V85, P41, DOI 10.1016/S0168-1702(02)00016-3
  27. Talbot HK, 2009, PEDIATR INFECT DIS J, V28, P682, DOI 10.1097/INF.0b013e31819d0d27
  28. Taylor S, 2017, J INFECTION, V74, P29, DOI 10.1016/j.jinf.2016.09.003
  29. Thomazelli LM, 2007, J PEDIAT-BRAZIL, V83, P422, DOI 10.1590/S0021-75572007000600005
  30. UN-HABITAT, 2010, CHALL SLUMGLOB REP
  31. UN-Habitat, 2016, WORLD CIT REP 2006 U
  32. Williams BG, 2002, LANCET INFECT DIS, V2, P25, DOI 10.1016/S1473-3099(01)00170-0
  33. Wisdom A, 2009, J CLIN MICROBIOL, V47, P3958, DOI 10.1128/JCM.00993-09

Coleções
Artigos e Materiais de Revistas Científicas - FM/MPE
Artigos e Materiais de Revistas Científicas - COVID-19
Artigos e Materiais de Revistas Científicas - HC/ICr
Artigos e Materiais de Revistas Científicas - IMT
Artigos e Materiais de Revistas Científicas - LIM/36
Artigos e Materiais de Revistas Científicas - ODS/03