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ONCHOSIM: a model and computer simulation program for the transmission and control of onchocerciasis
A P Plaisier1, G J van Oortmarssen, J D Habbema
1Department of Public Health and Social Medicine, Medical Faculty, Erasmus University Rotterdam, The Netherlands.
Computer Methods and Programs in Biomedicine
|January 1, 1990
Summary
ONCHOSIM models the transmission and control of onchocerciasis (river blindness). This computer program aids in planning and evaluating control strategies like larvicide and ivermectin, predicting their impact on disease spread and symptoms.
Area of Science:
- Epidemiology
- Parasitology
- Computational Biology
Background:
- Onchocerciasis, or river blindness, is a tropical parasitic disease.
- Effective control strategies require accurate transmission modeling.
- The Onchocerciasis Control Programme in West Africa (OCP) needs tools for planning and evaluation.
Purpose of the Study:
- To introduce ONCHOSIM, a computer program for modeling onchocerciasis transmission and control.
- To describe the model's components, including parasite life cycle and fly transmission dynamics.
- To demonstrate ONCHOSIM's utility in evaluating and predicting the impact of control interventions.
Main Methods:
- Combines stochastic microsimulation for individual life events and deterministic simulation for vector/parasite dynamics.
- Models the life history of the parasite *Onchocerca volvulus* and its transmission by *Simulium* flies.
- Incorporates control strategies such as larvicide application and chemotherapy (ivermectin).
Main Results:
- ONCHOSIM provides detailed predictions of onchocerciasis transmission and disease symptom progression under various control scenarios.
- The program's output format aligns with OCP data reporting, facilitating empirical validation.
- Key indices for infection intensity can be generated to compare control strategy effectiveness.
Conclusions:
- ONCHOSIM is a valuable tool for the OCP and other control programs to plan and evaluate onchocerciasis interventions.
- The model's hybrid simulation approach allows for comprehensive analysis of disease dynamics.
- Accurate modeling supports informed decision-making in the fight against river blindness.