4.1 Article

Aggregation and Competitive Exclusion: Explaining the Coexistence of Human Papillomavirus Types and the Effectiveness of Limited Vaccine Conferred Cross-Immunity

Journal

ACTA BIOTHEORETICA
Volume 60, Issue 4, Pages 333-356

Publisher

SPRINGER
DOI: 10.1007/s10441-012-9161-5

Keywords

Human Papillomavirus vaccination; Competitive exclusion; Competitive coexistence; Patchiness; SIS model

Funding

  1. Australian Government Department of Health and Ageing
  2. Australian Research Council (ARC) Linkage Project [LP0883831]
  3. CSL Ltd
  4. Victorian Cytology Service Inc.

Ask authors/readers for more resources

Human Papillomavirus (HPV) types are sexually transmitted infections that cause a number of human cancers. According to the competitive exclusion principle in ecology, HPV types that have lower transmission probabilities and shorter durations of infection should be outcompeted by more virulent types. This, however, is not the case, as numerous HPV types co-exist, some which are less transmissible and more easily cleared than others. This paper examines whether this exception to the competitive exclusion principle can be explained by the aggregation of infection with HPV types, which results in patchy spatial distributions of infection, and what implications this has for the effect of vaccination on multiple HPV types. A deterministic transmission model is presented that models the patchy distribution of infected individuals using Lloyd's mean crowding. It is first shown that higher aggregation can result in a reduced capacity for onward transmission and reduce the required efficacy of vaccination. It is shown that greater patchiness in the distribution of lower prevalence HPV types permits co-existence. This affirms the hypothesis that the aggregation of HPV types provides an explanation for the violation of the competitive exclusion principle. Greater aggregation of lower prevalence types has important implications where type-specific HPV vaccines also offer cross-protection against non-target types. It is demonstrated that the degree of cross-protection can be less than the degree of vaccine protection conferred against directly targeted types and still result in the elimination of non-target types when these non-target types are patchily distributed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Ecology

Extended Lotka-Volterra equations incorporating population heterogeneity: Derivation and analysis of the predator-prey case

Edward K. Waters, Harvinder S. Sidhu, Leesa A. Sidhu, Geoffry N. Mercer

ECOLOGICAL MODELLING (2015)

Article Biology

Zoonotic Transmission of Waterborne Disease: A Mathematical Model

Edward K. Waters, Andrew J. Hamilton, Harvinder S. Sidhu, Leesa A. Sidhu, Michelle Dunbar

BULLETIN OF MATHEMATICAL BIOLOGY (2016)

Article Mathematics, Applied

SPATIAL HETEROGENEITY IN SIMPLE DETERMINISTIC SIR MODELS ASSESSED ECOLOGICALLY

E. K. Waters, H. S. Sidhu, G. N. Mercer

ANZIAM JOURNAL (2012)

Article Health Care Sciences & Services

Tracking type specific prevalence of human Papillomavirus in cervical pre-cancer: a novel sampling strategy

Edward K. Waters, John Kaldor, Andrew J. Hamilton, Anthony M. A. Smith, David J. Philp, Basil Donovan, David G. Regan

BMC MEDICAL RESEARCH METHODOLOGY (2012)

Article Entomology

Sampling a weighted pest complex: caterpillars in North Korean cabbage (Brassica oleracea var. capitata) crops

A. J. Hamilton, E. K. Waters, H. J. Kim, W. S. Pak, M. J. Furlong

ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA (2009)

Article Ecology

Estimating global arthropod species richness: refining probabilistic models using probability bounds analysis

Andrew J. Hamilton, Vojtech Novotny, Edward K. Waters, Yves Basset, Kurt K. Benke, Peter S. Grimbacher, Scott E. Miller, G. Allan Samuelson, George D. Weiblen, Jian D. L. Yen, Nigel E. Stork

OECOLOGIA (2013)

Article Ecology

The influence of management practice on the spatial distribution of Lepidopteran pests in Brassica crops in the Democratic People's Republic of Korea: implications for sequential sampling plans

Edward Kyle Waters, Andrew John Hamilton, Graham Hepworth, Hak Ju Kim, Wi Su Pak, Michael John Furlong

POPULATION ECOLOGY (2009)

Article Ecology

Iwao's patchiness regression through the origin: biological importance and efficiency of sampling applications

Edward Kyle Waters, Michael J. Furlong, Kurt K. Benke, James Robin Grove, Andrew John Hamilton

POPULATION ECOLOGY (2014)

Article Public, Environmental & Occupational Health

Cocoa Pod Borer (Conopomorpha cramerella Snellen) in Papua New Guinea: Biosecurity Models for New Ireland and the Autonomous Region of Bougainville

Jian D. L. Yen, Edward K. Waters, Andrew J. Hamilton

RISK ANALYSIS (2010)

Review Public, Environmental & Occupational Health

Unresolved questions concerning human papillomavirus infection and transmission: a modelling perspective

David G. Regan, David J. Philp, Edward K. Waters

SEXUAL HEALTH (2010)

Editorial Material Psychiatry

Psychiatry research in the COVID-19 era and beyond: A role for mathematical models

Edward K. Waters, Daniel Pellen, Niels Buus

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY (2021)

Article Nursing

Open Dialogue, need-adapted mental health care, and implementation fidelity: A discussion paper

Edward Waters, Benjamin Ong, Kristof Mikes-Liu, Andrea McCloughen, Alan Rosen, Steven Mayers, Anna Sidis, Lisa Dawson, Niels Buus

Summary: This paper critically examines and advances the evaluation of fidelity in need-adapted mental health care, using Open Dialogue as a case study. It raises a discussion on how fidelity should be evaluated in flexible, complex interventions, and identifies key questions that need to be asked by practitioners working in need-adapted mental health care to ensure they deliver these interventions as intended and in an evidence-based fashion.

INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING (2021)

Article Mathematics, Applied

DO POOR ENVIRONMENTAL CONDITIONS DRIVE TRACHOMA TRANSMISSION IN BURUNDI? A MATHEMATICAL MODELLING STUDY

D. Ndisabiye, E. K. Waters, R. Gore, H. Sidhu

Summary: The study highlights that the high prevalence of trachoma in Burundi is mainly attributed to insufficient implementation of environmental improvement factors. The model developed indicates that adequate environmental improvements are crucial for eliminating trachoma.

ANZIAM JOURNAL (2021)

No Data Available