Bringing Real-Time Geospatial Precision to HIV Surveillance Through Smartphones: Feasibility Study

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Works citing "Bringing Real-Time Geospatial Precision to HIV Surveillance Through Smartphones: Feasibility Study"

Alain Placide Nsabimana, Bernard Uzabakiriho, Daniel M Kagabo, Jerome Nduwayo, Qinyouen Fu, Allison Eng, Joshua Hughes, Samuel K Sia

JMIR Public Health Surveill 2018 (Aug 07); 4(3):e11203

According to Crossref, the following articles are citing this article (DOI 10.2196/11203):

(note that this is only a small subset of citations)

. Six decades of lateral flow immunoassay: from determining metabolic markers to diagnosing COVID-19. AIMS Microbiology 2020;6(3):280
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Turbé V, Herbst C, Mngomezulu T, Meshkinfamfard S, Dlamini N, Mhlongo T, Smit T, Cherepanova V, Shimada K, Budd J, Arsenov N, Gray S, Pillay D, Herbst K, Shahmanesh M, McKendry RA. Deep learning of HIV field-based rapid tests. Nature Medicine 2021;27(7):1165
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Khosla NK, Lesinski JM, Colombo M, Bezinge L, deMello AJ, Richards DA. Simplifying the complex: accessible microfluidic solutions for contemporary processes within in vitro diagnostics. Lab on a Chip 2022;22(18):3340
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Young LE, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470
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Arumugam S, Ma J, Macar U, Han G, McAulay K, Ingram D, Ying A, Chellani HH, Chern T, Reilly K, Colburn DAM, Stanciu R, Duffy C, Williams A, Grys T, Chang S, Sia SK. Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics. Communications Medicine 2023;3(1)
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Rabiei R, Bastani P, Ahmadi H, Dehghan S, Almasi S. Developing public health surveillance dashboards: a scoping review on the design principles. BMC Public Health 2024;24(1)
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