Mariken
de Wit

Project

Tags

Promotor

Primary supervisor

Institute

Description PhD project

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Research questions / objectives

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Timeline

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Tags matching with the contents of track 9

Methods

• Epidemiological modelling: I will build transmission models using collected data to predict spread (R0), speed and final size of potential outbreaks

Topics

• Vector

  • Vector abundance: I will include this in my models for all objectives. It will be used for spatial predictions
  • Vector movement patterns, migration: I will include this in my models for all objectives. It plays a role in importation risk of mosquitoes and viruses.
  • Vector movement patterns, dispersal: I will include this in my models for all objectives. It provides info about potential spatial spread.
  • Habitat suitability: I will use this implicitly to understand the risk of new species getting established in NL.
  • Vector immune response: This will be included in models if it affects transmission probability from vector to host and duration of infectiousness.
  • Vector susceptibility: This will be included in models as transmission probability from host to vector.
  • Vector host-preference: This will be incorporated into models as host-specific biting rates.
  • Vector competence: This will be included as part of the transmission probability from vector to host.

  Host

  • Host abundance: I will include this in my models for all objectives. It will be used for spatial predictions
  • Host movement patterns: I will include this in my models for all objectives. It plays a role in importation risk and spatial spread of viruses.
  • Host immune response: This will be included in models if it affects transmission probability from host to vector and duration of infectiousness.
  • Host susceptibility: This will be included in models as transmission probability from vector to host.
  • Host Seroprevalence: This can be used to fit model predictions to observed data or validate predictions.

  Environmental

  • Climate: Many transmission rate parameters are dependent on climate factors such as temperature and humidity.

  Virus

  • Virus-mosquito interaction: I will include this if an infection affects mosquito parameters such as mortality rate, movement
  • Virus-host interaction: I will include this if an infection affects host parameters such as mortality rate, movement
  • Improved surveillance (response surveillance): For my 4^th objectives I aim to develop an improved sampling/surveillance strategy based on outputs from the model in obj 2.

Species

• Species

  • Human: Will be included as a potential host in all models
  • Bird: Will be included as a potential host when it’s part of a particular transmission cycle
  • Mosquito: Will be included as a vector in all models
  • Domestic animal: Will be included as a potential host when it’s part of a particular transmission cycle
  • Wild mammal: Will be included as a potential host when it’s part of a particular transmission cycle

Virus

• Virus

  • Virus (general): All my objectives focus on arboviruses.

  • West Nile virus: I will focus on WNV for obj 2 and 4. I will assess the risk of WNV emerging in NL.

  • Usutu Virus: I will focus on Usutu for obj 1 where I reconstruct outbreaks of the previous years in NL.

  • Japanese Encephalitis Virus: I might use JEV for obj 3 to look at the risk of it developing urban transmission cycles. I might also study JEV to assess the risk of it emerging in NL.

  • Mayaro Virus: I might use Mayaro virus for obj 3 to look at the risk of it developing urban transmission cycles. I might also study Mayaro to assess the risk of it emerging in NL.

  • Rift Valley Fever Virus: I might use RVFV for obj 3 to look at the risk of it developing urban transmission cycles. I might also study RVFV to assess the risk of it emerging in NL.