Situation of Skin-Manifesting Neglected Tropical Diseases Through a Mobile Application: Experience from Côte d'Ivoire

In order to identify cutaneous NTDs in Côte d'Ivoire, we conducted a cross-sectional, prospective, descriptive study over two years, from 13 January 2022 to 17 December 2023, in the health districts of Sinfra, Bouaflé, Abidjan 1 and Abidjan 2. The study included 804 patients. Men accounted for 50.6% of cases, with a sex ratio (M/F) of 1.2. The average age of patients was 20 years. Patients with no education accounted for 37.9% of cases. In terms of occupation, farmers accounted for 30% of cases. In terms of marital status, 52% of patients were single. Among the skin diseases identified, there were 147 cases of NTDs with cutaneous manifestations (18.3%) and 657 other dermatoses (81.7%). In terms of NTDs with skin manifestations, scabies accounted for 86.4% of all cases, 74 of which were reported in the Sinfra health district. Buruli ulcer accounted for 8.8%, with 11 cases identified in the Sinfra health district. For the other dermatoses, various skin conditions were recorded, with the most common types varying from one district to another. Overall, the prevalence of skin NTDs was high (18.3%) in these four health districts. Based on these results, the implementation of teledermatology is recommended to fill this gap.

Authors

Institutions

Publication Details

Journal
International Journal of Clinical Dermatology
Published
2025-05-24
DOI
https://doi.org/10.11648/j.ijcd.20250801.15
Primary Topic
Syphilis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Situation of Skin-Manifesting Neglected Tropical Diseases Through a Mobile Application: Experience from Côte d'Ivoire

Rie Yotsu, Diabaté Almamy, Bamba Vagamon, Ronald E. Blanton et al.
International Journal of Clinical Dermatology
Syphilis Diagnosis and Treatment
article

Situation of Skin-Manifesting Neglected Tropical Diseases Through a Mobile Application: Experience from Côte d'Ivoire

Rie Yotsu, Diabaté Almamy, Bamba Vagamon, Ronald E. Blanton, Koffi Aubin Yao, Sule Mutiyu
article en

Abstract

In order to identify cutaneous NTDs in Côte d'Ivoire, we conducted a cross-sectional, prospective, descriptive study over two years, from 13 January 2022 to 17 December 2023, in the health districts of Sinfra, Bouaflé, Abidjan 1 and Abidjan 2. The study included 804 patients. Men accounted for 50.6% of cases, with a sex ratio (M/F) of 1.2. The average age of patients was 20 years. Patients with no education accounted for 37.9% of cases. In terms of occupation, farmers accounted for 30% of cases. In terms of marital status, 52% of patients were single. Among the skin diseases identified, there were 147 cases of NTDs with cutaneous manifestations (18.3%) and 657 other dermatoses (81.7%). In terms of NTDs with skin manifestations, scabies accounted for 86.4% of all cases, 74 of which were reported in the Sinfra health district. Buruli ulcer accounted for 8.8%, with 11 cases identified in the Sinfra health district. For the other dermatoses, various skin conditions were recorded, with the most common types varying from one district to another. Overall, the prevalence of skin NTDs was high (18.3%) in these four health districts. Based on these results, the implementation of teledermatology is recommended to fill this gap.

International Journal of Clinical DermatologyVol. 8(1)
Tulane University (US), Université Alassane Ouattara (CI), National Center for Global Health and Medicine (JP), Nagasaki University (JP)
Openalex Percentile: Top 83%
Syphilis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.