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Documenting Trends in Malaria Data Reporting Accuracy Using Routine Data Quality Audits in Zambia, 2015-2022.

Autor: Das S; PATH Malaria Control and Elimination Partnership (MACEPA), Seattle, Washington., Roca Feltrer A; PATH MACEPA, Maputo, Mozambique., Rutagwera MI; PATH MACEPA, Lusaka, Zambia., Lungu C; PATH MACEPA, Lusaka, Zambia., Malama P; PATH MACEPA, Lusaka, Zambia., Monde M; PATH MACEPA, Lusaka, Zambia., Banda I; Zambia Ministry of Health, National Malaria Elimination Centre, Lusaka, Zambia., Ingwe MM; Zambia Ministry of Health, National Malaria Elimination Centre, Lusaka, Zambia., Hamainza B; Zambia Ministry of Health, National Malaria Elimination Centre, Lusaka, Zambia., Bennett A; PATH Malaria Control and Elimination Partnership (MACEPA), Seattle, Washington., Hainsworth M; PATH Malaria Control and Elimination Partnership (MACEPA), Seattle, Washington.

Publikováno v: The American journal of tropical medicine and hygiene [Am J Trop Med Hyg] 2024 Nov 26. Date of Electronic Publication: 2024 Nov 26.

Systematic review on the reporting accuracy of experimental details in publications using mouse femoral fracture models

Autor: Wolter, Angelique, Rapp, Anna E., Durst, Mattea S., Hildebrand, Laura, Löhning, Max, Buttgereit, Frank, Schmidt-Bleek, Katharina, Jirkof, Paulin, Lang, Annemarie

Publikováno v: In Bone November 2021 152

It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems

Autor: Milosevic, Jelena, Pena, Dexmont, Forembsky, Andrew, Moloney, David, Malek, Miroslaw

While several approaches to face emotion recognition task are proposed in literature, none of them reports on power consumption nor inference time required to run the system in an embedded environment. Without adequate knowledge about these factors i

Externí odkaz: http://arxiv.org/abs/1807.00046

Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development

Autor: Vadim S. Balashov, Yuxing Yan, Xiaodi Zhu

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Abstract The COVID-19 pandemic has spurred controversies related to whether countries manipulate reported data for political gains. We study the association between accuracy of reported COVID-19 data and developmental indicators. We use the Newcomb�

Externí odkaz: https://doaj.org/article/0655caf3756649c6b70f1e0538b84a48