Passion Project: Data Collection in Madagascar/Guinea
ABSTRACT
Background:
Only few data about African skin are currently available. Partly, it is due to the lack of dermatologists in African countries such as Madagascar and Guinea. There are only 13 dermatologists in Madagascar, one dermatologist for every 2 million inhabitants. In contrast, the prevalence of common dermatosis is constantly increasing, especially among the pediatric population. According to the WHO, 80% of these skin problems in Africa are grouped into 5 pathologies: atopic dermatitis, dermatophytosis, scabies, impetigo, and insect bites.
Objective:
In the face of this dilemma, artificial intelligence (AI) is a better tool to collect data on a national scale. Madagascar will participate in the PASSION project from June 2020 and January 2021 for Guinea. They join other countries like Switzerland, Australia, China, India and Tanzania using AI in dermatology. This study mainly aimed to compare the 5 pathologies according to the different phototypes characterizing these countries and secondly to collect cases on a national scale that will serve as a national database. The data collection aims to insert 1000 cases per year.
Methods:
To increase the number of cases included in phototypes III to VI, two countries were included. 6 data collection sites were set up in Madagascar and one in Guinea. Patients were recruited during Dermatology consultations. All patients presenting the 5 pathologies were included. Three platforms are used to collect data: my.crf.one, Intellistream and Derma2go.
Results:
A total of 323 cases are currently included for Madagascar, [76 scabies, 111 atopic dermatitis, 94 dermatophytosis, 35 impetigo and 11 insect bites. The patient's age ranged from 2 months to 68 years. A male predominance was noted with a sex ratio of 1.19 (109H/91F). Phototypes ranging from III to VI]. For Guinea, 178 cases include [32 scabies, 26 atopic dermatitis, 92 dermatophytosis, 03 impetigo and 25 insect bites. The age of patients varied between 1 year and 70 years with men predominance, sex ratio of 1.54 (108M / 70F) predominantly phototype VI].
Conclusions:
AI is a data collection solution in Africa. However, high bandwidth is needed to achieve the objective.
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.