Epidemiology of Pathogen-Specific Respiratory Infections among Three US Populations
Publication Date
December 30, 2014
Journal
PLOS ONE
Authors
Jennifer M. Radin, Anthony W. Hawksworth, Peter E. Kammerer, Melinda Balansay, et al
Volume
9
Issue
12
Pages
e114871
DOI
https://dx.plos.org/10.1371/journal.pone.0114871
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0114871
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/25549089
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280218
Europe PMC
http://europepmc.org/abstract/MED/25549089
Web of Science
000347063500009
Scopus
84920196803
Mendeley
http://www.mendeley.com/research/epidemiology-pathogenspecific-respiratory-infections-among-three-populations
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Mendeley | Further Information

{"title"=>"Epidemiology of pathogen-specific respiratory infections among three US populations", "type"=>"journal", "authors"=>[{"first_name"=>"Jennifer M.", "last_name"=>"Radin", "scopus_author_id"=>"55501979400"}, {"first_name"=>"Anthony W.", "last_name"=>"Hawksworth", "scopus_author_id"=>"6603071313"}, {"first_name"=>"Peter E.", "last_name"=>"Kammerer", "scopus_author_id"=>"14630538500"}, {"first_name"=>"Melinda", "last_name"=>"Balansay", "scopus_author_id"=>"23487691700"}, {"first_name"=>"Rema", "last_name"=>"Raman", "scopus_author_id"=>"7102586743"}, {"first_name"=>"Suzanne P.", "last_name"=>"Lindsay", "scopus_author_id"=>"7102294215"}, {"first_name"=>"Gary T.", "last_name"=>"Brice", "scopus_author_id"=>"37050651700"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0114871", "pui"=>"601098016", "sgr"=>"84920196803", "pmid"=>"25549089", "scopus"=>"2-s2.0-84920196803"}, "id"=>"c847b352-db31-3fcc-a20d-503e1c5466be", "abstract"=>"BACKGROUND: Diagnostic tests for respiratory infections can be costly and time-consuming. Improved characterization of specific respiratory pathogens by identifying frequent signs, symptoms and demographic characteristics, along with improving our understanding of coinfection rates and seasonality, may improve treatment and prevention measures.\\n\\nMETHODS: Febrile respiratory illness (FRI) and severe acute respiratory infection (SARI) surveillance was conducted from October 2011 through March 2013 among three US populations: civilians near the US-Mexico border, Department of Defense (DoD) beneficiaries, and military recruits. Clinical and demographic questionnaire data and respiratory swabs were collected from participants, tested by PCR for nine different respiratory pathogens and summarized. Age stratified characteristics of civilians positive for influenza and recruits positive for rhinovirus were compared to other and no/unknown pathogen. Seasonality and coinfection rates were also described.\\n\\nRESULTS: A total of 1444 patients met the FRI or SARI case definition and were enrolled in this study. Influenza signs and symptoms varied across age groups of civilians. Recruits with rhinovirus had higher percentages of pneumonia, cough, shortness of breath, congestion, cough, less fever and longer time to seeking care and were more likely to be male compared to those in the no/unknown pathogen group. Coinfections were found in 6% of all FRI/SARI cases tested and were most frequently seen among children and with rhinovirus infections. Clear seasonal trends were identified for influenza, rhinovirus, and respiratory syncytial virus.\\n\\nCONCLUSIONS: The age-stratified clinical characteristics associated with influenza suggest that age-specific case definitions may improve influenza surveillance and identification. Improving identification of rhinoviruses, the most frequent respiratory infection among recruits, may be useful for separating out contagious individuals, especially when larger outbreaks occur. Overall, describing the epidemiology of pathogen specific respiratory diseases can help improve clinical diagnoses, establish baselines of infection, identify outbreaks, and help prioritize the development of new vaccines and treatments.", "link"=>"http://www.mendeley.com/research/epidemiology-pathogenspecific-respiratory-infections-among-three-populations", "reader_count"=>28, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Librarian"=>2, "Researcher"=>6, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>2, "Student > Master"=>6, "Student > Bachelor"=>6, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Librarian"=>2, "Researcher"=>6, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>2, "Student > Master"=>6, "Student > Bachelor"=>6, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>3, "Medicine and Dentistry"=>14, "Agricultural and Biological Sciences"=>3, "Arts and Humanities"=>2, "Business, Management and Accounting"=>1, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>14}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"Brazil"=>2}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1857337"], "description"=>"<p>Number positive and percent of febrile respiratory illness/severe acute respiratory infection (FRI/SARI) patients positive for respiratory pathogens among US military recruits, DoD beneficiaries, and US–Mexico border populations, 2012–2013.</p>", "links"=>[], "tags"=>["influenza", "civilian", "pcr", "identification", "SARI case definition", "Populations BackgroundDiagnostic tests", "pathogen", "coinfection rates", "symptom", "characteristic", "recruit", "rhinoviru", "surveillance", "outbreak", "fri"], "article_id"=>1281558, "categories"=>["Biological Sciences"], "users"=>["Jennifer M. Radin", "Anthony W. Hawksworth", "Peter E. Kammerer", "Melinda Balansay", "Rema Raman", "Suzanne P. Lindsay", "Gary T. Brice"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0114871.g001", "stats"=>{"downloads"=>2, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Number_positive_and_percent_of_febrile_respiratory_illness_severe_acute_respiratory_infection_FRI_SARI_patients_positive_for_respiratory_pathogens_among_US_military_recruits_DoD_beneficiaries_and_US_8211_Mexico_border_populations_2012_8211_2013_/1281558", "title"=>"Number positive and percent of febrile respiratory illness/severe acute respiratory infection (FRI/SARI) patients positive for respiratory pathogens among US military recruits, DoD beneficiaries, and US–Mexico border populations, 2012–2013.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-12-30 02:49:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1857338"], "description"=>"<p>DoD, Department of Defense; FRI, febrile respiratory illness; hMPV, human metapaneumovirus; RSV, respiratory syncytial virus; SARI, severe acute respiratory infection SOB, shortness of breath.</p><p>*SARI cases only identified from US-Mexico border populations.</p><p>Descriptive Characteristics by All Pathogens, October 2011–March 2013 (n = 1444).</p>", "links"=>[], "tags"=>["influenza", "civilian", "pcr", "identification", "SARI case definition", "Populations BackgroundDiagnostic tests", "pathogen", "coinfection rates", "symptom", "characteristic", "recruit", "rhinoviru", "surveillance", "outbreak", "fri"], "article_id"=>1281559, "categories"=>["Biological Sciences"], "users"=>["Jennifer M. Radin", "Anthony W. Hawksworth", "Peter E. Kammerer", "Melinda Balansay", "Rema Raman", "Suzanne P. Lindsay", "Gary T. Brice"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0114871.t001", "stats"=>{"downloads"=>7, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_Characteristics_by_All_Pathogens_October_2011_8211_March_2013_n_8202_8202_1444_/1281559", "title"=>"Descriptive Characteristics by All Pathogens, October 2011–March 2013 (n = 1444).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-30 02:49:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1857339"], "description"=>"<p>DoD,Department of Defense; FRI, febrile respiratory illness; SARI, severe acute respiratory infection SOB, shortness of breath.</p><p>*SARI cases only identified from US-Mexico border populations.</p><p>Age-stratified Descriptive Characteristics by Influenza, Other, and No/Unknown Pathogen among DoD Beneficiaries and US-Mexico Border Populations.</p>", "links"=>[], "tags"=>["influenza", "civilian", "pcr", "identification", "SARI case definition", "Populations BackgroundDiagnostic tests", "pathogen", "coinfection rates", "symptom", "characteristic", "recruit", "rhinoviru", "surveillance", "outbreak", "fri"], "article_id"=>1281560, "categories"=>["Biological Sciences"], "users"=>["Jennifer M. Radin", "Anthony W. Hawksworth", "Peter E. Kammerer", "Melinda Balansay", "Rema Raman", "Suzanne P. Lindsay", "Gary T. Brice"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0114871.t002", "stats"=>{"downloads"=>8, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Age_stratified_Descriptive_Characteristics_by_Influenza_Other_and_No_Unknown_Pathogen_among_DoD_Beneficiaries_and_US_Mexico_Border_Populations_/1281560", "title"=>"Age-stratified Descriptive Characteristics by Influenza, Other, and No/Unknown Pathogen among DoD Beneficiaries and US-Mexico Border Populations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-30 02:49:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1857340"], "description"=>"<p>SOB, shortness of breath.</p><p>Descriptive Characteristics by Rhinovirus, Other, and No/Unknown Pathogen among Military Recruits (n = 615).</p>", "links"=>[], "tags"=>["influenza", "civilian", "pcr", "identification", "SARI case definition", "Populations BackgroundDiagnostic tests", "pathogen", "coinfection rates", "symptom", "characteristic", "recruit", "rhinoviru", "surveillance", "outbreak", "fri"], "article_id"=>1281561, "categories"=>["Biological Sciences"], "users"=>["Jennifer M. Radin", "Anthony W. Hawksworth", "Peter E. Kammerer", "Melinda Balansay", "Rema Raman", "Suzanne P. Lindsay", "Gary T. Brice"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0114871.t003", "stats"=>{"downloads"=>1, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_Characteristics_by_Rhinovirus_Other_and_No_Unknown_Pathogen_among_Military_Recruits_n_8202_8202_615_/1281561", "title"=>"Descriptive Characteristics by Rhinovirus, Other, and No/Unknown Pathogen among Military Recruits (n = 615).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-30 02:49:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1857341"], "description"=>"<p>Four triple and one quadruple coinfections were identified but not included in upper portion of the table: rhinovirus/adenovirus/RSV, rhinovirus/influenza A/CoV229E, rhinovirus/influenza A/CoVOC43, rhinovirus/RSV/CoV229E, and rhinovirus/influenza A/adenovirus/RSV.</p><p><i>C. pneumonia</i>, <i>Chlamydophila pneumoniae</i>; hMPV, human metapneumovirus; M. pneumoniae, <i>Mycoplasma pneumoniae</i>; RSV, respiratory syncytial virus.</p><p>Detection of Respiratory Coinfections 2011–2013 (n = 1444).</p>", "links"=>[], "tags"=>["influenza", "civilian", "pcr", "identification", "SARI case definition", "Populations BackgroundDiagnostic tests", "pathogen", "coinfection rates", "symptom", "characteristic", "recruit", "rhinoviru", "surveillance", "outbreak", "fri"], "article_id"=>1281562, "categories"=>["Biological Sciences"], "users"=>["Jennifer M. Radin", "Anthony W. Hawksworth", "Peter E. Kammerer", "Melinda Balansay", "Rema Raman", "Suzanne P. Lindsay", "Gary T. Brice"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0114871.t004", "stats"=>{"downloads"=>5, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Detection_of_Respiratory_Coinfections_2011_8211_2013_n_8202_8202_1444_/1281562", "title"=>"Detection of Respiratory Coinfections 2011–2013 (n = 1444).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-30 02:49:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1857342"], "description"=>"<div><p>Background</p><p>Diagnostic tests for respiratory infections can be costly and time-consuming. Improved characterization of specific respiratory pathogens by identifying frequent signs, symptoms and demographic characteristics, along with improving our understanding of coinfection rates and seasonality, may improve treatment and prevention measures.</p><p>Methods</p><p>Febrile respiratory illness (FRI) and severe acute respiratory infection (SARI) surveillance was conducted from October 2011 through March 2013 among three US populations: civilians near the US–Mexico border, Department of Defense (DoD) beneficiaries, and military recruits. Clinical and demographic questionnaire data and respiratory swabs were collected from participants, tested by PCR for nine different respiratory pathogens and summarized. Age stratified characteristics of civilians positive for influenza and recruits positive for rhinovirus were compared to other and no/unknown pathogen. Seasonality and coinfection rates were also described.</p><p>Results</p><p>A total of 1444 patients met the FRI or SARI case definition and were enrolled in this study. Influenza signs and symptoms varied across age groups of civilians. Recruits with rhinovirus had higher percentages of pneumonia, cough, shortness of breath, congestion, cough, less fever and longer time to seeking care and were more likely to be male compared to those in the no/unknown pathogen group. Coinfections were found in 6% of all FRI/SARI cases tested and were most frequently seen among children and with rhinovirus infections. Clear seasonal trends were identified for influenza, rhinovirus, and respiratory syncytial virus.</p><p>Conclusions</p><p>The age-stratified clinical characteristics associated with influenza suggest that age-specific case definitions may improve influenza surveillance and identification. Improving identification of rhinoviruses, the most frequent respiratory infection among recruits, may be useful for separating out contagious individuals, especially when larger outbreaks occur. Overall, describing the epidemiology of pathogen specific respiratory diseases can help improve clinical diagnoses, establish baselines of infection, identify outbreaks, and help prioritize the development of new vaccines and treatments.</p></div>", "links"=>[], "tags"=>["influenza", "civilian", "pcr", "identification", "SARI case definition", "Populations BackgroundDiagnostic tests", "pathogen", "coinfection rates", "symptom", "characteristic", "recruit", "rhinoviru", "surveillance", "outbreak", "fri"], "article_id"=>1281563, "categories"=>["Biological Sciences"], "users"=>["Jennifer M. Radin", "Anthony W. Hawksworth", "Peter E. Kammerer", "Melinda Balansay", "Rema Raman", "Suzanne P. Lindsay", "Gary T. Brice"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0114871", "stats"=>{"downloads"=>3, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Epidemiology_of_Pathogen_Specific_Respiratory_Infections_among_Three_US_Populations_/1281563", "title"=>"Epidemiology of Pathogen-Specific Respiratory Infections among Three US Populations", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-30 02:49:32"}

PMC Usage Stats | Further Information

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Relative Metric

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