2026-10-12T12:06:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33924208 2026-09-18T08:53:17Z category_27082 category_27109 category_27091 item_type_3 month_year_09_2026

Dataset from the pilot evaluation of the DAISY digital algorithm for community-level management of febrile illness in Bangladesh Marco Liverani (24651969) Anirban Chakma (25071211) Aninda Sen (16698681) Naomi Waithira (14842543) Elke Wynberg (11469466) Bipin Adhikari (9171896) Md. Abdullah Saeed Khan (10852952) Thomas J. Peto (3157794) Carlo Perrone (12794102) Shayla Islam (760492) Nur-E-Naznin Ferdous (25071223) Akramul Islam (3307977) Rusheng Chew (13610494) Richard J. Maude (11451096) Yoel Lubell (2566102) Digital health Health systems Health and community services community health workers digital health Bangladesh febrile illness <p dir="ltr">This dataset contains the minimal anonymised data underlying the findings reported in a study describing the development and pilot evaluation of the DAISY digital algorithm for community-level assessment and management of febrile illness in Bangladesh. The pilot involved 15 community health workers who used the digital algorithm with simulated clinical scenarios. The deposited data include participant characteristics relevant to the reported analyses, timing data from simulated assessments, and responses to the usability assessment. Variables not used to support the findings reported in the manuscript have not been included in this minimal dataset. DAISY was developed as a rule-based clinical decision-support tool integrating triage for danger signs, symptom-based assessment of febrile illness, and condition-specific management pathways.</p> 2026-09-18T08:53:17Z Dataset Dataset 10.6084/m9.figshare.33924208.v1 https://figshare.com/articles/dataset/Dataset_from_the_pilot_evaluation_of_the_DAISY_digital_algorithm_for_community-level_management_of_febrile_illness_in_Bangladesh/33924208 CC BY 4.0