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- W2904381051 endingPage "e0209290" @default.
- W2904381051 startingPage "e0209290" @default.
- W2904381051 abstract "Background Tuberculosis (TB) is the deadliest infectious disease globally. Current case finding approaches may miss many people with TB or detect them too late. Data and methods This study was a retrospective, spatial analysis of routine TB surveillance and cadastral data in Go Vap district, Ho Chi Minh City. We geocoded TB notifications from 2011 to 2015 and calculated theoretical yields of simulated door-to-door screening in three concentric catchment areas (50m, 100m, 200m) and three notification window scenarios (one, two and four quarters) for each index case. We calculated average yields, compared them to published reference values and fit a GEE (Generalized Estimating Equation) linear regression model onto the data. Results The sample included 3,046 TB patients. Adjusted theoretical yields in 50m, 100m and 200m catchment areas were 0.32% (95%CI: 0.27,0.37), 0.21% (95%CI: 0.14,0.29) and 0.17% (95%CI: 0.09,0.25), respectively, in the baseline notification window scenario. Theoretical yields in the 50m-catchment area for all notification window scenarios were significantly higher than a reference yield from literature. Yield was positively associated with treatment failure index cases (beta = 0.12, p = 0.001) and short-term inter-province migrants (beta = 0.06, p = 0.022), while greater distance to the DTU (beta = -0.02, p<0.001) was associated with lower yield. Conclusions This study is an example of inter-departmental collaboration and application of repurposed cadastral data to progress towards the end TB objectives. The results from Go Vap showed that the use of spatial analysis may be able to identify areas where targeted active case finding in Vietnam can help improve TB case detection." @default.
- W2904381051 created "2018-12-22" @default.
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- W2904381051 date "2018-12-18" @default.
- W2904381051 modified "2023-10-07" @default.
- W2904381051 title "Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam" @default.
- W2904381051 cites W1156885073 @default.
- W2904381051 cites W153317028 @default.
- W2904381051 cites W1608529429 @default.
- W2904381051 cites W1639203353 @default.
- W2904381051 cites W1755249284 @default.
- W2904381051 cites W1896887845 @default.
- W2904381051 cites W1935811009 @default.
- W2904381051 cites W1976926092 @default.
- W2904381051 cites W1980106078 @default.
- W2904381051 cites W1984391752 @default.
- W2904381051 cites W1986000117 @default.
- W2904381051 cites W2002178034 @default.
- W2904381051 cites W2006139726 @default.
- W2904381051 cites W2007365958 @default.
- W2904381051 cites W2012672796 @default.
- W2904381051 cites W2012723624 @default.
- W2904381051 cites W2013153552 @default.
- W2904381051 cites W2017774833 @default.
- W2904381051 cites W2025811250 @default.
- W2904381051 cites W2048887899 @default.
- W2904381051 cites W2051718091 @default.
- W2904381051 cites W2057229990 @default.
- W2904381051 cites W206746369 @default.
- W2904381051 cites W2073420167 @default.
- W2904381051 cites W2073629063 @default.
- W2904381051 cites W2082934890 @default.
- W2904381051 cites W2086062478 @default.
- W2904381051 cites W2094215234 @default.
- W2904381051 cites W2100706982 @default.
- W2904381051 cites W2102492066 @default.
- W2904381051 cites W2110776215 @default.
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- W2904381051 cites W2115985208 @default.
- W2904381051 cites W2116226796 @default.
- W2904381051 cites W2125190846 @default.
- W2904381051 cites W2125417711 @default.
- W2904381051 cites W2129287485 @default.
- W2904381051 cites W2132384500 @default.
- W2904381051 cites W2144006607 @default.
- W2904381051 cites W2149860264 @default.
- W2904381051 cites W2156320715 @default.
- W2904381051 cites W2157402286 @default.
- W2904381051 cites W2164526521 @default.
- W2904381051 cites W2165153405 @default.
- W2904381051 cites W2165540986 @default.
- W2904381051 cites W2165847151 @default.
- W2904381051 cites W2214342049 @default.
- W2904381051 cites W2217089512 @default.
- W2904381051 cites W2280039098 @default.
- W2904381051 cites W2305153653 @default.
- W2904381051 cites W2308670599 @default.
- W2904381051 cites W2309508290 @default.
- W2904381051 cites W2330190916 @default.
- W2904381051 cites W2330983214 @default.
- W2904381051 cites W2416677565 @default.
- W2904381051 cites W2424131374 @default.
- W2904381051 cites W2477791837 @default.
- W2904381051 cites W2508974492 @default.
- W2904381051 cites W2509042206 @default.
- W2904381051 cites W2557712774 @default.
- W2904381051 cites W2579358105 @default.
- W2904381051 cites W2584159219 @default.
- W2904381051 cites W2706885862 @default.
- W2904381051 cites W2746850000 @default.
- W2904381051 cites W2760263671 @default.
- W2904381051 cites W2763606073 @default.
- W2904381051 cites W2765354416 @default.
- W2904381051 cites W2765659312 @default.
- W2904381051 cites W2767042533 @default.
- W2904381051 cites W2768596174 @default.
- W2904381051 cites W2784642616 @default.
- W2904381051 cites W2901774185 @default.
- W2904381051 cites W4231529782 @default.
- W2904381051 cites W4299602518 @default.
- W2904381051 doi "https://doi.org/10.1371/journal.pone.0209290" @default.
- W2904381051 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6298730" @default.
- W2904381051 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30562401" @default.
- W2904381051 hasPublicationYear "2018" @default.
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