Flow chart showing participant flow from the TB Prevalence Survey to the follow-up.
<p>Flow chart showing participant flow from the TB Prevalence Survey to the follow-up.</p>
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2025
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| _version_ | 1852019161373343744 |
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| author | Maria Ruperez (3498329) |
| author2 | Jacob Busang (16835993) Linda Mureithi (5821688) Kwame Shanaube (353723) Eveline Klinkenberg (95376) Thomas Gachie (11509562) James M. Burnett (21578329) Barry Kosloff (11851585) Petra de Haas (8755347) Richard Hayes (32740) Sarah Fidler (76851) Ab Schaap (349556) Sian Floyd (239400) Helen Ayles (42807) |
| author2_role | author author author author author author author author author author author author author |
| author_facet | Maria Ruperez (3498329) Jacob Busang (16835993) Linda Mureithi (5821688) Kwame Shanaube (353723) Eveline Klinkenberg (95376) Thomas Gachie (11509562) James M. Burnett (21578329) Barry Kosloff (11851585) Petra de Haas (8755347) Richard Hayes (32740) Sarah Fidler (76851) Ab Schaap (349556) Sian Floyd (239400) Helen Ayles (42807) |
| author_role | author |
| dc.creator.none.fl_str_mv | Maria Ruperez (3498329) Jacob Busang (16835993) Linda Mureithi (5821688) Kwame Shanaube (353723) Eveline Klinkenberg (95376) Thomas Gachie (11509562) James M. Burnett (21578329) Barry Kosloff (11851585) Petra de Haas (8755347) Richard Hayes (32740) Sarah Fidler (76851) Ab Schaap (349556) Sian Floyd (239400) Helen Ayles (42807) |
| dc.date.none.fl_str_mv | 2025-06-20T17:40:37Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pgph.0003787.g002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Flow_chart_showing_participant_flow_from_the_TB_Prevalence_Survey_to_the_follow-up_/29373566 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Neuroscience Biotechnology Cancer Science Policy Infectious Diseases Virology Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified remained radiologically abnormal pulmonary lesions identified composite &# 8220 79 %, 128 clinical &# 8221 bacteriological confirmation may tb prevalence survey reported previous tb bacteriologically confirmed tb participants progressed clinically abnormal chest x 70 %, 97 high cad score chest x participants may may need clinical outcomes clinical management tb disease past tb either tb developed tb xlink "> ultra testing systematic screening sputum sample south africa requiring guidance repeated assessment recommends computer per year participants self next day liquid culture increased detection followed participants defined based could benefit aided detection additional sample 9 months |
| dc.title.none.fl_str_mv | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Flow chart showing participant flow from the TB Prevalence Survey to the follow-up.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_5e91c7b5f625bfa5a4d6f07dfba5a511 |
| identifier_str_mv | 10.1371/journal.pgph.0003787.g002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29373566 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up.Maria Ruperez (3498329)Jacob Busang (16835993)Linda Mureithi (5821688)Kwame Shanaube (353723)Eveline Klinkenberg (95376)Thomas Gachie (11509562)James M. Burnett (21578329)Barry Kosloff (11851585)Petra de Haas (8755347)Richard Hayes (32740)Sarah Fidler (76851)Ab Schaap (349556)Sian Floyd (239400)Helen Ayles (42807)MedicineNeuroscienceBiotechnologyCancerScience PolicyInfectious DiseasesVirologyComputational BiologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedremained radiologically abnormalpulmonary lesions identifiedcomposite &# 822079 %, 128clinical &# 8221bacteriological confirmation maytb prevalence surveyreported previous tbbacteriologically confirmed tbparticipants progressed clinicallyabnormal chest x70 %, 97high cad scorechest xparticipants maymay needclinical outcomesclinical managementtb diseasepast tbeither tbdeveloped tbxlink ">ultra testingsystematic screeningsputum samplesouth africarequiring guidancerepeated assessmentrecommends computerper yearparticipants selfnext dayliquid cultureincreased detectionfollowed participantsdefined basedcould benefitaided detectionadditional sample9 months<p>Flow chart showing participant flow from the TB Prevalence Survey to the follow-up.</p>2025-06-20T17:40:37ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pgph.0003787.g002https://figshare.com/articles/figure/Flow_chart_showing_participant_flow_from_the_TB_Prevalence_Survey_to_the_follow-up_/29373566CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/293735662025-06-20T17:40:37Z |
| spellingShingle | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. Maria Ruperez (3498329) Medicine Neuroscience Biotechnology Cancer Science Policy Infectious Diseases Virology Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified remained radiologically abnormal pulmonary lesions identified composite &# 8220 79 %, 128 clinical &# 8221 bacteriological confirmation may tb prevalence survey reported previous tb bacteriologically confirmed tb participants progressed clinically abnormal chest x 70 %, 97 high cad score chest x participants may may need clinical outcomes clinical management tb disease past tb either tb developed tb xlink "> ultra testing systematic screening sputum sample south africa requiring guidance repeated assessment recommends computer per year participants self next day liquid culture increased detection followed participants defined based could benefit aided detection additional sample 9 months |
| status_str | publishedVersion |
| title | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| title_full | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| title_fullStr | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| title_full_unstemmed | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| title_short | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| title_sort | Flow chart showing participant flow from the TB Prevalence Survey to the follow-up. |
| topic | Medicine Neuroscience Biotechnology Cancer Science Policy Infectious Diseases Virology Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified remained radiologically abnormal pulmonary lesions identified composite &# 8220 79 %, 128 clinical &# 8221 bacteriological confirmation may tb prevalence survey reported previous tb bacteriologically confirmed tb participants progressed clinically abnormal chest x 70 %, 97 high cad score chest x participants may may need clinical outcomes clinical management tb disease past tb either tb developed tb xlink "> ultra testing systematic screening sputum sample south africa requiring guidance repeated assessment recommends computer per year participants self next day liquid culture increased detection followed participants defined based could benefit aided detection additional sample 9 months |