N. J. Cunniffe

Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative

The paper uses machine learning and epidemiological modeling to determine optimal fungicide doses under partial and quantitative resistance scenarios, finding that low doses may not always be optimal.

Using "sentinel" plants to improve early detection of invasive plant pathogens

This study uses a computational model to explore how sentinel plants can improve early detection of invasive plant pathogens by optimizing their use in monitoring programs.

How growers make decisions impacts plant disease control.

This paper models how grower decision-making based on perceived profitability affects participation in clean seed systems for Cassava Brown Streak Disease, showing that misperceptions and information availability influence disease dynamics.

Optimal strategies to protect a sub-population at risk due to an established epidemic

The paper uses optimal control theory to determine the best strategies for protecting a high-value sub-population during an epidemic, considering budget and uncertainty.

Epidemiological and ecological consequences of virus manipulation of host and vector in plant virus transmission

The paper uses mathematical modeling to explore how vector preferences and infection status affect plant virus epidemics, showing effects on reproduction numbers and disease incidence.

An ecophysiological model of plant-pestinteractions: the role of nutrient and wateravailability

The paper develops a mechanistic model linking plant growth and pest population dynamics to show how irrigation and fertilization affect pest populations in complex ways.

Small scale variability in soil moisture drives infection of vulnerable juniper populations by invasive forest pathogen

The paper investigates how small-scale soil moisture variability influences infection of juniper populations by the invasive pathogen Phytophthora austrocedri in the UK.

Spatiotemporal dynamics and modelling support the case for area-wide management of citrus greasy spot in a Brazilian smallholder farming region

This study characterizes the spatiotemporal dynamics of citrus greasy spot in Brazil and introduces a model to support area-wide disease management strategies.

Optimising risk-based surveillance for early detection of invasive plant pathogens.

This study optimizes risk-based surveillance strategies for early detection of invasive plant pathogens by combining spatial models with statistical detection methods.

Ongoing surveillance protects tanoak whilst conserving biodiversity: applying optimal control theory to a spatial simulation model of sudden oak death

This paper applies optimal control theory to a spatial simulation model of sudden oak death to identify effective disease management strategies that protect tanoak while conserving biodiversity.