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About:
A Combined Syndromic Approach to Examine Viral, Bacterial, and Parasitic Agents among Febrile Patients: A Pilot Study in Kilombero, Tanzania
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schema:ScholarlyArticle
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wasabi.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
A Combined Syndromic Approach to Examine Viral, Bacterial, and Parasitic Agents among Febrile Patients: A Pilot Study in Kilombero, Tanzania
Creator
Liu, Jie
Mfinanga, Sayoki
Onyango, Clayton
Montgomery, Joel
Ochieng, Caroline
Fields, Barry
Cosmas, Leonard
Hercik, Christine
Kohi, Wanze
Wamola, Newton
Houpt, Eric
Mogeni, Ondari
source
PMC
abstract
The use of fever syndromic surveillance in sub-Saharan Africa is an effective approach to determine the prevalence of both malarial and nonmalarial infectious agents. We collected both blood and naso/oro-pharyngeal (NP/OP) swabs from consecutive consenting patients ≥ 1 year of age, with an axillary temperature ≥ 37.5°C, and symptom onset of ≤ 5 days. Specimens were analyzed using both acute febrile illness (AFI) and respiratory TaqMan array cards (Resp TAC) for multiagent detection of 56 different bloodstream and respiratory agents. In addition, we collected epidemiologic data to further characterize our patient population. We enrolled 205 febrile patients, including 70 children (1 < 15 years of age; 34%) and 135 adults (≥ 15 years of age; 66%). AFI TAC and Resp TAC were performed on 191 whole blood specimens and 115 NP/OP specimens, respectively. We detected nucleic acid for Plasmodium (57%), Leptospira (2%), and dengue virus (1%) among blood specimens. In addition, we detected 17 different respiratory agents, most notably, Haemophilus influenzae (64%), Streptococcus pneumonia (56%), Moraxella catarrhalis (39%), and respiratory syncytial virus (11%) among NP/OP specimens. Overall median cycle threshold was measured at 26.5. This study provides a proof-of-concept for the use of a multiagent diagnostic approach for exploratory research on febrile illness and underscores the utility of quantitative molecular diagnostics in complex epidemiologic settings of sub-Saharan Africa.
has issue date
2017-12-26
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bibo:doi
10.4269/ajtmh.17-0421
bibo:pmid
29280432
has license
cc-by
sha1sum (hex)
0266337807a2aab25e7dc43967cba01860fe5d86
schema:url
https://doi.org/10.4269/ajtmh.17-0421
resource representing a document's title
A Combined Syndromic Approach to Examine Viral, Bacterial, and Parasitic Agents among Febrile Patients: A Pilot Study in Kilombero, Tanzania
has PubMed Central identifier
PMC5929188
has PubMed identifier
29280432
schema:publication
Am J Trop Med Hyg
resource representing a document's body
covid:0266337807a2aab25e7dc43967cba01860fe5d86#body_text
is
schema:about
of
named entity 'pneumonia'
named entity 'epidemiologic'
named entity 'multiagent'
named entity 'Moraxella'
named entity 'Febrile'
named entity 'Viral'
covid:arg/0266337807a2aab25e7dc43967cba01860fe5d86
named entity 'malarial'
named entity 'acid'
named entity 'Leptospira'
named entity 'Plasmodium'
named entity 'measured'
named entity 'epidemiologic data'
named entity 'Haemophilus influenzae'
named entity 'infectious agents'
named entity 'Leptospira'
named entity 'TaqMan'
named entity 'Africa'
named entity 'pharyngeal'
named entity 'Plasmodium'
named entity 'Pilot Study'
named entity 'parasitemia'
named entity 'Plasmodium'
named entity 'febrile'
named entity 'malaria transmission'
named entity 'sugarcane'
named entity 'SAS'
named entity 'sore throat'
named entity '18.5'
named entity 'febrile'
named entity 'Malaria transmission'
named entity 'rapid test'
named entity 'clinical data'
named entity 'principal component analysis'
named entity 'agro-industrial'
named entity 'Statistical analyses'
named entity 'febrile'
named entity 'blood smear'
named entity 'clinical examination'
named entity 'TACs'
named entity 'influenza'
named entity 'pediatric'
named entity 'febrile'
named entity 'fever'
named entity 'bloodstream'
named entity 'coinfections'
named entity 'venipuncture'
named entity 'Africa'
named entity 'febrile'
named entity 'antimicrobial therapy'
named entity 'sample size'
named entity 'protozoa'
named entity 'parasitic'
named entity 'infection'
named entity 'respiratory conditions'
named entity 'Life Technologies'
named entity 'etiology'
named entity 'infection'
named entity 'parasitic'
named entity 'bacteria'
named entity 'Roche'
named entity 'SAS'
named entity 'influenza'
named entity 'influenza'
named entity 'malaria'
named entity 'median age'
named entity 'influenza'
named entity 'Tanzania'
named entity 'ANOVA'
named entity 'care providers'
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