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About:
Risk factors for febrile respiratory illness and mono-viral infections in a semi-closed military environment: a case-control study
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schema:ScholarlyArticle
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Risk factors for febrile respiratory illness and mono-viral infections in a semi-closed military environment: a case-control study
Creator
Lee, Vernon
Gao, Qiuhan
Jin, Jing
Pang, Junxiong
Li, Yang
Cheng, Mark
Cook, Alex
Ho, Marc
Hsu,
Jie, Zheng
Koh, Hong
Loh, Jin
Ng,
Sock, Hoon
Tan, Boon
Source
Medline; PMC
abstract
BACKGROUND: Febrile respiratory illness (FRI) results in substantial burden in semi-closed environments. Tackling risk factors may reduce transmission and infection. However, risk factors involved in one setting may not be generalizable in all settings due to differences in climate, residential environment, population genetic and cultural backgrounds. This study aims to identify risk factors of FRI and mono-viral infections in a tropical military environment. METHODS: From year 2009 to 2012, military personnel with temperature ≥37.5 °C, cough and/or sore throat, and personnel with no fever or no respiratory symptoms were recruited as cases and controls, respectively. Subjects provided nasal wash specimens and answered a standardized questionnaire. Resplex assays were used to determine the viral etiologies. Descriptive, univariate and multivariate analyses of the variables were performed using appropriate descriptive tests and logistic regression modelling, respectively, with R program. RESULTS: A total of 7,743 FRI cases and 1,247 non-FRI study controls were recruited. Increasing age [adjusted odds ratio (AOR) = 1.03; 95 % confidence interval (CI) = 1.01-1.05], recruit camp (AOR = 4.67; 95 % CI = 3.99-5.46) and smoker (AOR = 1.31; 95 % CI = 1.13-1.52) were independent risk factors of FRI. Malay ethnicity was positively associated with influenza A(H1N1)pdm09 (AOR = 1.50; 95 % CI = 1.04-2.15) and coxsackie/echovirus (AOR = 1.67; 95 % CI = 1.19-2.36) mono-infection. Significant contact risk factors were stay-out personnel with ill household member (AOR = 4.96; 95 % CI = 3.39-7.24), and stay-in personnel with ill bunkmate and household member (AOR = 3.55; 95 % CI = 2.57-4.91). Staying in camp with none ill in bunk and at home was a protective factor against FRI (AOR = 0.80; 95 % CI = 0.64-0.99). These contact risk factors were similarly observed for the five most common viruses detected, namely adenovirus, rhinoviruses, influenza A and B, and coxsackie/echovirus. CONCLUSION: Increasing age, smoker, recruit-camp, stay-out personnel with ill household members and stay-in personnel with ill bunkmates were independent risk factors of FRI in a semi-closed military environment. Early identification and isolation of ill personnel from their bunk may be effective to prevent and reduce transmission and disease burden.
has issue date
2015-07-25
(
xsd:dateTime
)
bibo:doi
10.1186/s12879-015-1024-7
bibo:pmid
26208494
has license
cc-by
sha1sum (hex)
0511ed1c3e91902ab662c81f8fc20c83a840e8d0
schema:url
https://doi.org/10.1186/s12879-015-1024-7
resource representing a document's title
Risk factors for febrile respiratory illness and mono-viral infections in a semi-closed military environment: a case-control study
has PubMed Central identifier
PMC4514976
has PubMed identifier
26208494
schema:publication
BMC Infect Dis
resource representing a document's body
covid:0511ed1c3e91902ab662c81f8fc20c83a840e8d0#body_text
is
schema:about
of
named entity 'MONO'
named entity 'FEBRILE'
named entity 'protective factor'
named entity 'effective'
named entity 'population genetic'
named entity 'burden'
named entity 'Febrile'
named entity 'Conclusion'
named entity 'viral'
named entity 'recruited'
named entity 'member'
named entity 'variables'
named entity 'ENVIRONMENT'
named entity 'CASE-CONTROL STUDY'
named entity 'USED'
named entity 'APPROPRIATE'
named entity 'ETHNICITY'
named entity 'CAMP'
named entity 'COUGH'
named entity 'VARIABLES'
named entity 'REDUCE'
named entity 'VIRUSES'
named entity 'SETTINGS'
named entity '1.05'
named entity 'FEVER'
named entity 'TO PREVENT'
named entity 'TOTAL'
named entity 'NON-'
named entity 'CONCLUSION'
named entity 'BACKGROUND'
named entity 'OBSERVED'
named entity '0.99'
named entity 'WAS A'
named entity 'INFLUENZA A'
named entity 'EFFECTIVE'
named entity 'SORE THROAT'
named entity 'NASAL WASH'
named entity 'CASES'
named entity 'RISK FACTORS'
named entity 'TO IDENTIFY'
named entity 'CONTACT'
named entity 'THEIR'
named entity 'EARLY IDENTIFICATION'
named entity 'MODELLING'
named entity 'LOGISTIC REGRESSION'
named entity 'MILITARY'
named entity 'MILITARY PERSONNEL'
named entity 'AGE'
named entity 'DESCRIPTIVE'
named entity 'SIGNIFICANT'
named entity 'TRANSMISSION'
named entity 'TESTS'
named entity 'DETECTED'
named entity 'INCREASING'
named entity 'CONFIDENCE INTERVAL'
named entity 'PROTECTIVE FACTOR'
named entity 'SUBJECTS'
named entity 'MAY BE'
named entity 'SPECIMENS'
named entity 'DISEASE'
named entity '50%'
named entity 'DETERMINE'
named entity 'TEMPERATURE'
named entity 'SMOKER'
named entity 'ETIOLOGIES'
named entity 'FEBRILE'
named entity 'ASSOCIATED WITH'
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