The Magnitude and Frequency Variations of Vector-Borne Infections Outbreaks with the Ross-Macdonald Model: Explaining and Predicting Outbreaks of Dengue Fever

TL;DR

This paper demonstrates that, with proper modifications, the Ross-Macdonald model can effectively explain and predict the recurrence patterns of dengue fever outbreaks by accounting for human movement and seasonal variations.

Contribution

It introduces a modified Ross-Macdonald model that incorporates human movement and seasonal factors to better understand and predict dengue fever outbreak patterns.

Findings

The model explains the recurrence and absence of outbreaks in different regions.

It allows estimation of susceptible populations based on initial outbreak size.

The approach successfully predicts the likelihood and magnitude of future outbreaks.

Abstract

It is possible to model vector-borne infection using the classical Ross-Macdonald model. This attempt, however fails in several respects. First, using measured (or estimated) parameters, the model predicts a much greater number of cases than what is usually observed. Second, the model predicts a single huge outbreaks that is followed after decades of much smaller outbreaks. This is not what is observed. Usually towns or cities report a number of cases that recur for many years, even when environmental changes cannot explain the disappearance of the infection in-between the peaks. In this paper we continue to examine the pitfalls in modeling this class of infections, and explain that, in fact, if properly used, the Ross-Macdonald model works, can be used to understand the patterns of epidemics and even, to some extents, to make some predictions. We model several outbreaks of dengue fever and show that the variable pattern of year recurrence (or absence of it) can be understood and explained by a simple Ross-Macdonald model modified to take into account human movement across a range of neighborhoods inside a city. In addition, we analyze the effect of seasonal variations in the parameters determining the number, longevity and biting behavior of mosquitoes. Based on the size of the first outbreak, we show that it is possible to estimate the proportion of the remaining susceptibles and predict the likelihood and magnitude of eventual subsequent outbreaks. The approach is exemplified by actual dengue outbreaks with different recurrence patterns from some Brazilian regions.