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Dive into the research topics where G.J. Boender is active.

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Featured researches published by G.J. Boender.


Epidemics | 2009

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Nienke Hartemink; Bethan V. Purse; R. Meiswinkel; Heidi E. Brown; A.A. de Koeijer; A.R.W. Elbers; G.J. Boender; David J. Rogers; J.A.P. Heesterbeek

Geographical maps indicating the value of the basic reproduction number, R₀, can be used to identify areas of higher risk for an outbreak after an introduction. We develop a methodology to create R₀ maps for vector-borne diseases, using bluetongue virus as a case study. This method provides a tool for gauging the extent of environmental effects on disease emergence. The method involves integrating vector-abundance data with statistical approaches to predict abundance from satellite imagery and with the biologically mechanistic modelling that underlies R₀. We illustrate the method with three applications for bluetongue virus in the Netherlands: 1) a simple R₀ map for the situation in September 2006, 2) species-specific R₀ maps based on satellite-data derived predictions, and 3) monthly R₀ maps throughout the year. These applications ought to be considered as a proof-of-principle and illustrations of the methods described, rather than as ready-to-use risk maps. Altogether, this is a first step towards an integrative method to predict risk of establishment of diseases based on mathematical modelling combined with a geographic information system that may comprise climatic variables, landscape features, land use, and other relevant factors determining the risk of establishment for bluetongue as well as of other emerging vector-borne diseases.


Veterinary Research | 2013

The transmission potential of Rift Valley fever virus among livestock in the Netherlands: a modelling study

E.A.J. Fischer; G.J. Boender; G. Nodelijk; Aline de Koeijer; Herman Jw van Roermund

AbstractsRift Valley fever virus (RVFV) is a zoonotic vector-borne infection and causes a potentially severe disease. Many mammals are susceptible to infection including important livestock species. Although currently confined to Africa and the near-East, this disease causes concern in countries in temperate climates where both hosts and potential vectors are present, such as the Netherlands. Currently, an assessment of the probability of an outbreak occurring in this country is missing. To evaluate the transmission potential of RVFV, a mathematical model was developed and used to determine the initial growth and the Floquet ratio, which are indicators of the probability of an outbreak and of persistence in a periodic changing environment caused by seasonality. We show that several areas of the Netherlands have a high transmission potential and risk of persistence of the infection. Counter-intuitively, these are the sparsely populated livestock areas, due to the high vector-host ratios in these areas. Culex pipiens s.l. is found to be the main driver of the spread and persistence, because it is by far the most abundant mosquito. Our investigation underscores the importance to determine the vector competence of this mosquito species for RVFV and its host preference.


Preventive Veterinary Medicine | 2014

Risk based surveillance for early detection of low pathogenic avian influenza outbreaks in layer chickens

Jose L. Gonzales; G.J. Boender; A.R.W. Elbers; J.A. Stegeman; A.A. de Koeijer

Current knowledge does not allow the prediction of when low pathogenic avian influenza virus (LPAIV) of the H5 and H7 subtypes infecting poultry will mutate to their highly pathogenic phenotype (HPAIV). This mutation may already take place in the first infected flock; hence early detection of LPAIV outbreaks will reduce the likelihood of pathogenicity mutations and large epidemics. The objective of this study was the development of a model for the design and evaluation of serological-surveillance programmes, with a particular focus on early detection of LPAIV infections in layer chicken flocks. Early detection is defined as the detection of an infected flock before it infects on average more than one other flock (between-flock reproduction ratio Rf<1), hence a LPAI introduction will be detected when only one or a few other flocks are infected. We used a mathematical model that investigates the required sample size and sampling frequency for early detection by taking into account the LPAIV within- and between-flock infection dynamics as well as the diagnostic performance of the serological test used. Since layer flocks are the target of the surveillance, we also explored whether the use of eggs, is a good alternative to sera, as sample commodity. The model was used to refine the current Dutch serological-surveillance programme. LPAIV transmission-risk maps were constructed and used to target a risk-based surveillance strategy. In conclusion, we present a model that can be used to explore different sampling strategies, which combined with a cost-benefit analysis would enhance surveillance programmes for low pathogenic avian influenza.


Acta Biotheoretica | 2012

Derivation of a Floquet Formalism within a Natural Framework

G.J. Boender; A.A. de Koeijer; E.A.J. Fischer

Many biological systems experience a periodic environment. Floquet theory is a mathematical tool to deal with such time periodic systems. It is not often applied in biology, because linkage between the mathematics and the biology is not available. To create this linkage, we derive the Floquet theory for natural systems. We construct a framework, where the rotation of the Earth is causing the periodicity. Within this framework the angular momentum operator is introduced to describe the Earth’s rotation. The Fourier operators and the Fourier states are defined to link the rotation to the biological system. Using these operators, the biological system can be transformed into a rotating frame in which the environment becomes static. In this rotating frame the Floquet solution can be derived. Two examples demonstrate how to apply this natural framework.


Geospatial Health | 2013

Abundance modelling of invasive and indigenous Culicoides species in Spain.

Els Ducheyne; Miguel Ángel Miranda Chueca; J. Lucientes; C. Calvete; R. Estrada; G.J. Boender; Els Goossens; Eva De Clercq; Guy Hendrickx


Archive | 2010

Rift Valley Fever

G.J. Boender; E.A.J. Fischer; A.A. de Koeijer; H.A. (Gonnie) Nodelijk; C.J. de Vos; H.J.W. van Roermund


International Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork | 2015

Design of a Risk based Control System for Toxoplasma gondii in a pork supply chain

L. Heres; M. Swanenburg; A.A. de Koeijer; G.J. Boender; D. Oorburg; B. Urlings; H.J. Wisselink


Archive | 2014

Risk of poultry compartments for transmission of High Pathogenic Avian Influenza

G.J. Boender; T.H.J. Hagenaars; J.A. Backer; G. Nodelijk; M.A.P.M. van Asseldonk; R.H.M. Bergevoet; H.J.W. van Roermund


Archive | 2013

The influence of herd size on the spread of classical swine fever during the 1997-1998 epidemic in The Netherlands

G.J. Boender; R. van den Hengel; H.J.W. van Roermund; T.H.J. Hagenaars


Archive | 2012

Assessing the risk of Rift Valley fever virus introduction from international aircraft and ships: implications for emergence. Poster presented at the 13th International Symposium on Veterinary Epidemiology and Economics, Maastricht, 20-27 August 2012. P267

M.R. Hoek; Louise Anne Kelly; G.J. Boender; C.J. de Vos

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A.A. de Koeijer

Wageningen University and Research Centre

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E.A.J. Fischer

Wageningen University and Research Centre

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H.J.W. van Roermund

Wageningen University and Research Centre

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T.H.J. Hagenaars

Wageningen University and Research Centre

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A.R.W. Elbers

Wageningen University and Research Centre

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C.J. de Vos

Wageningen University and Research Centre

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G. Nodelijk

Wageningen University and Research Centre

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M.C.M. de Jong

Wageningen University and Research Centre

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Aline de Koeijer

Wageningen University and Research Centre

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