Malaria model structure

❗ Please refer to each model's source documentation. The information provided here is subject to change and may not reflect the latest updates of each model.


EMOD: EMOD incorporates age-dependent transmission risk, the development of partial immunity due to cumulative exposure, and maternal antibody protection.
The malaria model structure for EMOD is detailed in the malaria-model-overview and related publications.

malariasimulation: The model structure for malariasimulation is outlined in the model structure and related publications.

OpenMalaria: The model structure for OpenMalaria can be found in the openmalaria/wiki and related publications.

Model components configured in MultiMalModPy

The sections below outline key components of the simulation framework. They provide relevant details to guide users but are not presented in a strict order or consistent level of detail.

Time

Model-specific timesteps
- EMOD: - 1 day timestep - malariasimulation: - 1 day timestep - OpenMalaria: - 5 day timestep

Population and age demography

Transmission intensity

The models handle transmission intensity primarily in two ways:
- Forced EIR: The EIR is explicitly set and remains constant.
- Dynamic EIR: The EIR emerges from mosquito population dynamics and host-vector interactions.

  • EMOD:
  • forced transmission model, using EIR as input
  • dynamic transmission model, using Larval Habitat Availability as input
  • malariasimulation:
  • dynamic transmission model, using EIR together with monthly rainfall (see seasonality) as input
  • OpenMalaria:
  • forced transmission model, using EIR as input
  • dynamic transmission model, using EIR as input