Characterizing the impact of spatial clustering of susceptibility for measles elimination
                Authored by Shaun A Truelove, Matthew Graham, William J Moss, C Jessica E Metcalf, Matthew J Ferrari, Justin Lessler
                
                    Date Published: 2019
                
                
                    DOI: 10.1016/j.vaccine.2018.12.012
                
                
                    Sponsors:
                    
                        Bill and Melinda Gates Foundation
                        
                
                
                    Platforms:
                    
                        R
                        
                
                
                    Model Documentation:
                    
                        Other Narrative
                        
                        Mathematical description
                        
                
                
                    Model Code URLs:
                    
                        Model code not found
                    
                
                Abstract
                Measles elimination efforts are primarily focused on achieving and
maintaining national vaccination coverage goals, based on estimates of
the critical vaccination threshold (V-c): the proportion of the
population that must be immune to prevent sustained epidemics.
Traditionally, V-c estimates assume evenly mixing populations, an
invalid assumption. If susceptible individuals preferentially contact
one another, communities may remain vulnerable to epidemics even when
vaccination coverage targets are met at the national level. Here we
present a simple method to estimate V-c and the effective reproductive
number, R, while accounting for spatial clustering of susceptibility.
For measles, assuming R-0 = 15 and 95\% population immunity, adjustment
for high clustering of susceptibility increases R from 0.75 to 1.29, V-c
from 93\% to 96\%, and outbreak probability after a single introduction
from <1\% to 23\%. The impact of clustering remains minimal until
vaccination coverage nears elimination levels. We illustrate our
approach using Demographic and Health Survey data from Tanzania and show
how non-vaccination clustering potentially contributed to continued
endemic transmission of measles virus during the last two decades. Our
approach demonstrates why high national vaccination coverage sometimes
fails to achieve measles elimination, and that a shift from national to
subnational focus is needed as countries approach elimination. (C) 2018
The Authors. Published by Elsevier Ltd.
                
Tags
                
                    Heterogeneity
                
                    Clustering
                
                    Community
                
                    Progress
                
                    transmission
                
                    Vaccination
                
                    Children
                
                    Foot
                
                    Rubella
                
                    Measles
                
                    Disease
transmission
                
                    Effective reproductive number
                
                    Critical vaccination threshold
                
                    Critical immunity threshold
                
                    Outbreak risk
                
                    Stochastic individual-based
model
                
                    Vaccination coverage
                
                    Mouth epidemic
                
                    Herd-immunity
                
                    Exemptions