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Classification of cutaneous leishmaniasis patients based on its risk factors using latent class analysis.

Mojtaba SalimiEbrahim ShakibaEslam Moradi AslAbbas Abbasi-GhahramanlooKeyvan Khassi
Published in: Tropical doctor (2020)
Cutaneous leishmaniasis is one of the main health-economic problems around the world. Data were collected from all patients with cutaneous leishmaniasis referred to the health centres of Kermanshah province between 2013 and 2019. Latent class analysis was conducted by PROC LCA in SAS 9.2 and a significant level was set at 0.05. Four latent classes were identified: low (33.8%), moderate (9.8%), high (22.4%) and very high risk (34.0%). The probability of having a travel history was high in the third class. Our study indicated that having history of an eschar has no role in the classification of patients. On the other hand, a positive smear test is important in classifying subjects. Our results indicate that more than half of all patients fell under high risk or very high-risk class. This emphasises the importance of planning preventive intervention by considering different risk factors of cutaneous leishmaniasis simultaneously.
Keyphrases
  • risk factors
  • end stage renal disease
  • newly diagnosed
  • mental health
  • healthcare
  • public health
  • prognostic factors
  • deep learning
  • health information
  • social media
  • patient reported