Thermal Image Scanning for Influenza Border Screening: Results of an Airport Screening Study
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{"title"=>"Thermal image scanning for influenza border screening: Results of an airport screening study", "type"=>"journal", "authors"=>[{"first_name"=>"Patricia C.", "last_name"=>"Priest", "scopus_author_id"=>"7003680232"}, {"first_name"=>"Alasdair R.", "last_name"=>"Duncan", "scopus_author_id"=>"35195635300"}, {"first_name"=>"Lance C.", "last_name"=>"Jennings", "scopus_author_id"=>"7103204450"}, {"first_name"=>"Michael G.", "last_name"=>"Baker", "scopus_author_id"=>"7403075366"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"21245928", "sgr"=>"79251563748", "doi"=>"10.1371/journal.pone.0014490", "scopus"=>"2-s2.0-79251563748", "pui"=>"361180171", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "issn"=>"19326203"}, "id"=>"04f2d909-a355-316a-b906-11d84d2fe62e", "abstract"=>"BACKGROUND: Infrared thermal image scanners (ITIS) appear an attractive option for the mass screening of travellers for influenza, but there are no published data on their performance in airports.\\n\\nMETHODS: ITIS was used to measure cutaneous temperature in 1275 airline travellers who had agreed to tympanic temperature measurement and respiratory sampling. The prediction by ITIS of tympanic temperature (37.8°C and 37.5°C) and of influenza infection was assessed using Receiver Operating Characteristic (ROC) curves and estimated sensitivity, specificity and positive predictive value (PPV).\\n\\nFINDINGS: Using front of face ITIS for prediction of tympanic temperature ≥37.8°C, the area under the ROC curve was 0.86 (95%CI 0.75-0.97) and setting sensitivity at 86% gave specificity of 71%. The PPV in this population of travellers, of whom 0.5% were febrile using this definition, was 1.5%. We identified influenza virus infection in 30 travellers (3 Type A and 27 Type B). For ITIS prediction of influenza infection the area under the ROC curve was 0.66 (0.56-0.75), a sensitivity of 87% gave specificity of 39%, and PPV of 2.8%. None of the 30 influenza-positive travellers had tympanic temperature ≥37.8°C at screening (95%CI 0% to 12%); three had no influenza symptoms.\\n\\nCONCLUSION: ITIS performed moderately well in detecting fever but in this study, during a seasonal epidemic of predominantly influenza type B, the proportion of influenza-infected travellers who were febrile was low and ITIS were not much better than chance at identifying travellers likely to be influenza-infected. Although febrile illness is more common in influenza A infections than influenza B infections, many influenza A infections are afebrile. Our findings therefore suggest that ITIS is unlikely to be effective for entry screening of travellers to detect influenza infection with the intention of preventing entry of the virus into a country.", "link"=>"http://www.mendeley.com/research/thermal-image-scanning-influenza-border-screening-results-airport-screening-study", "reader_count"=>27, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>3, "Student > Master"=>4, "Student > Bachelor"=>4, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>3, "Student > Master"=>4, "Student > Bachelor"=>4, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>3, "Unspecified"=>1, "Materials Science"=>2, "Mathematics"=>1, "Medicine and Dentistry"=>9, "Agricultural and Biological Sciences"=>2, "Sports and Recreations"=>1, "Psychology"=>1, "Social Sciences"=>3, "Computer Science"=>3, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Materials Science"=>{"Materials Science"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>3}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>1}

Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/807680"], "description"=>"<p>ROC curve of thermal scan vs tympanic temperature ≥37.8°C.</p>", "links"=>[], "tags"=>["thermal", "tympanic"], "article_id"=>478049, "categories"=>["Computational Biology", "Virology", "Medicine", "Information And Computing Sciences"], "users"=>["Patricia C. Priest", "Alasdair R. Duncan", "Lance C. Jennings", "Michael G. Baker"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014490.g003", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ROC_curve_of_thermal_scan_vs_tympanic_temperature_8805_37_8_176_C_/478049", "title"=>"ROC curve of thermal scan vs tympanic temperature ≥37.8°C.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 21:24:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/807792"], "description"=>"<p>*These were chosen as the threshold with sensitivity closest to 85% in our data.</p>", "links"=>[], "tags"=>["tympanic", "itis", "measures", "predictors", "influenza", "1268", "arriving"], "article_id"=>478150, "categories"=>["Computational Biology", "Virology", "Medicine", "Information And Computing Sciences"], "users"=>["Patricia C. Priest", "Alasdair R. Duncan", "Lance C. Jennings", "Michael G. Baker"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014490.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_performance_of_tympanic_and_ITIS_measures_of_temperature_as_predictors_of_influenza_infection_in_1268_arriving_travellers_/478150", "title"=>"The performance of tympanic and ITIS measures of temperature as predictors of influenza infection in 1268 arriving travellers.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 21:24:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/807839"], "description"=>"<p>*These were chosen as the threshold with sensitivity closest to 85% in our data.</p>†<p>in holders of marked questionnaires.</p>‡<p>One observation was excluded from these analyses, from an asymptomatic traveller with a tympanic temperature of 37.1 and front of face measure of 37.3 but a side of face measure recorded as 40.1.</p>", "links"=>[], "tags"=>["characteristics", "itis", "predictor", "tympanic", "1275", "arriving"], "article_id"=>478204, "categories"=>["Computational Biology", "Virology", "Medicine", "Information And Computing Sciences"], "users"=>["Patricia C. Priest", "Alasdair R. Duncan", "Lance C. Jennings", "Michael G. Baker"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014490.t001", "stats"=>{"downloads"=>2, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Test_characteristics_of_ITIS_as_a_predictor_of_tympanic_temperature_in_1275_arriving_travellers_/478204", "title"=>"Test characteristics of ITIS as a predictor of tympanic temperature in 1275 arriving travellers.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 21:25:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/807447"], "description"=>"<p>ITIS image of front of face.</p>", "links"=>[], "tags"=>["infectious diseases/epidemiology and control of infectious diseases", "public health and epidemiology/health policy", "public health and epidemiology/infectious diseases", "public health and epidemiology/screening"], "article_id"=>477809, "categories"=>["Computational Biology", "Virology", "Medicine", "Information And Computing Sciences"], "users"=>["Patricia C. Priest", "Alasdair R. Duncan", "Lance C. Jennings", "Michael G. Baker"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014490.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ITIS_image_of_front_of_face_/477809", "title"=>"ITIS image of front of face.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 21:23:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/807530"], "description"=>"<p>Study flow chart showing how participants were selected from arrivals during the study period.</p>", "links"=>[], "tags"=>["arrivals"], "article_id"=>477903, "categories"=>["Computational Biology", "Virology", "Medicine", "Information And Computing Sciences"], "users"=>["Patricia C. Priest", "Alasdair R. Duncan", "Lance C. Jennings", "Michael G. Baker"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014490.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Study_flow_chart_showing_how_participants_were_selected_from_arrivals_during_the_study_period_/477903", "title"=>"Study flow chart showing how participants were selected from arrivals during the study period.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 21:23:36"}

PMC Usage Stats | Further Information

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