Respiratory pathogen diversity and co-infections in rural Zambia

被引:17
作者
Loevinsohn, Gideon [1 ,2 ]
Hardick, Justin [3 ]
Sinywimaanzi, Pamela [4 ]
Fenstermacher, Katherine Z. J. [5 ]
Shaw-Saliba, Kathryn [5 ]
Monze, Mwaka [6 ]
Gaydos, Charlotte A. [3 ]
Rothman, Richard E. [5 ]
Pekosz, Andrew [7 ]
Thuma, Philip E. [4 ,6 ]
Sutcliffe, Catherine G. [1 ]
机构
[1] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[2] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
[3] Johns Hopkins Univ, Sch Med, Dept Med, Div Infect Dis, Baltimore, MD 21205 USA
[4] Macha Res Trust, Macha, Zambia
[5] Johns Hopkins Univ, Sch Med, Dept Emergency Med, Baltimore, MD USA
[6] Univ Teaching Hosp, Virol Lab, Lusaka, Zambia
[7] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Mol Microbiol & Immunol, Baltimore, MD USA
关键词
Respiratory viruses; Co-infections; Sub-Saharan; Rural; Severity; SOUTH-AFRICA; TRACT INFECTIONS; SEASONAL INFLUENZA; SYNCYTIAL VIRUS; PREVALENCE; CHILDREN; INFANTS; ILLNESS; EPIDEMIOLOGY; MORTALITY;
D O I
10.1016/j.ijid.2020.10.054
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objectives: The role of respiratory co-infections in modulating disease severity remains understudied in southern Africa, particularly in rural areas. This study was performed to characterize the spectrum of respiratory pathogens in rural southern Zambia and the prognostic impact of co-infections. Methods: Respiratory specimens collected from inpatient and outpatient participants in a viral surveillance program in 2018-2019 were tested for selected viruses and atypical bacteria using the Xpert Xpress Flu/RSV assay and FilmArray Respiratory Panel EZ. Participants were followed for 3-5 weeks to assess their clinical course. Multivariable regression was used to examine the role of co-infections in influencing disease severity. Results: A respiratory pathogen was detected in 63.2% of samples from 671 participants who presented with influenza-like illness. Common pathogens identified included influenza virus (18.2% of samples), respiratory syncytial virus (RSV) (11.8%), rhinovirus (26.4%), and coronavirus (6.0%). Overall, 6.4% of participants were co-infected with multiple respiratory pathogens. Compared to mono-infections, co infections were found not to be associated with severe clinical illness either overall (relative risk (RR) 0.72, 95% confidence interval (CI) 0.39-1.32) or specifically with influenza virus (RR 0.80, 95% CI 0.14- 4.46) or RSV infections (RR 0.44, 95% CI 0.17-1.11). Conclusions: Respiratory infections in rural southern Zambia were associated with a wide range of viruses. Respiratory co-infections in this population were not associated with clinical severity. (C) 2020 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
引用
收藏
页码:291 / 298
页数:8
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