03409nas a2200397   4500000000100000008004100001260004400042653002800086653001300114653002800127653001800155653001700173653001500190100002100205700001300226700001300239700001200252700001400264700001500278700001500293700001200308700001300320700002100333700001400354700001300368700001300381700001300394700001200407700001400419245015600433856008500589300000700674490000700681520230900688022001402997       2025                            d  bSpringer Science and Business Media LLC10aDigital data management10aDatabase10aCutaneous leishmaniases10aClinical data10aEpidemiology10aStatistics1 aHarigua-Souiai E1 aSalem YB1 aHariga M1 aSaadi Y1 aSouguir H1 aChouaieb H1 aAdedokun O1 aMkada I1 aMoussa Z1 aFathallah-Mili A1 aLemrani M1 aHaddad N1 aOduola A1 aSouiai O1 aAli IBH1 aGuizani I00aLesionia: a digital data management system to enhance collaborative management of epidemiological and clinical data of cutaneous leishmaniases patients  uhttps://bmcresnotes.biomedcentral.com/counter/pdf/10.1186/s13104-025-07208-0.pdf  a110 v183 a<p>Digital Systems for Data Management (DSDM) have become a critical cornerstone in collaborative biomedical research and clinical trials involving multiple investigators, institutions, and populations. DSDM provide unique features that ensure that data meet the standards of FAIR (Findability, Accessibility, Interoperability and Reusability). We herein present Lesionia, a DSDM designed to support the PEER518 consortium that aimed at developing new cutaneous leishmaniases (CL) diagnostics using samples and data collected from patients suspected of having CL in countries in the MENA region and West Africa. The consortium involved nine institutions across five countries: Tunisia, Morocco, Lebanon, Mali, and the USA, and informally Scientists from Algeria and Nigeria. The guidelines on the data to be collected by the clinicians and biologists during the project were used for the development of a Questionnaire that served as a basis for the implementation of a dedicated web-based DSDM.</p>

<p>Lesionia was developed and validated for the management and the analysis of clinical and epidemiological data in the diagnosis of CL. It consists of a relational database, a web-based user interface (WUI) and a tool for experimental data handling and analysis of clinical and epidemiological data of CL cases. The platform was deployed and validated during the PEER518 project using data collected across the involved teams. Lesionia is expandable to include further collaborators, partners, and projects. It is designed for data handling from the consented patient interview and sample collection to the samples’ storage and investigation. The WUI permits data entry, fetching, visualization and analysis. Rigorous controls on data entry were implemented to reduce discrepancies. It also offers a set of analysis tools that range from descriptive statistics to variable correlation analysis. Lesionia is accessible in a secure manner to all users of the consortium through a web browser.</p>

<p>Lesionia will be a valuable tool for collaborative and integrative management of clinical and epidemiological data. It is an open-source software that can broadly serve the scientific community interested in studying, controlling, reporting, and diagnosing CL and similar cutaneous diseases.</p>
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