Description of a simulation model for the population dynamics of Eimeria acervulina infection in broilers

A. M. Henken, H. W. Ploeger, E. A.M. Graat, Tim Carpenter

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A simulation model for the population dynamics of Eimeria acervulina infection in broilers is presented. The model describes the development of the numbers of parasites in the various life-stages during the growing period of broilers and the empty house period between grow-outs. The model includes assumptions with respect to development of immunity to E. acervulina infection and effects of application of anticoccidial drugs. The model consists of a set of difference equations that are solved numerically at 1 h intervals. Under constant conditions, an equilibrium level was reached after a few grow-outs during which infection always peaked around the 21st day in the growing period. Within a growing period, infection peaked earlier (later) than the 21st day in case initial numbers of sporulated oocysts were higher (lower) than the equilibrium number.

Original languageEnglish (US)
Pages (from-to)503-512
Number of pages10
JournalParasitology
Volume108
Issue number5
DOIs
StatePublished - Jan 1 1994

Fingerprint

Eimeria
Eimeria acervulina
Population Dynamics
simulation models
population dynamics
broiler chickens
Infection
infection
coccidiostats
Oocysts
oocysts
Immunity
Parasites
immunity
parasites
drugs
Pharmaceutical Preparations

Keywords

  • anticoccidial drug efficacy
  • broilers
  • coccidiosis
  • Eimeria acervulina
  • host immunity
  • simulation

ASJC Scopus subject areas

  • Parasitology
  • Animal Science and Zoology
  • Infectious Diseases

Cite this

Description of a simulation model for the population dynamics of Eimeria acervulina infection in broilers. / Henken, A. M.; Ploeger, H. W.; Graat, E. A.M.; Carpenter, Tim.

In: Parasitology, Vol. 108, No. 5, 01.01.1994, p. 503-512.

Research output: Contribution to journalArticle

Henken, A. M. ; Ploeger, H. W. ; Graat, E. A.M. ; Carpenter, Tim. / Description of a simulation model for the population dynamics of Eimeria acervulina infection in broilers. In: Parasitology. 1994 ; Vol. 108, No. 5. pp. 503-512.
@article{a3c3ae2cd0bf47338d8327e32c657620,
title = "Description of a simulation model for the population dynamics of Eimeria acervulina infection in broilers",
abstract = "A simulation model for the population dynamics of Eimeria acervulina infection in broilers is presented. The model describes the development of the numbers of parasites in the various life-stages during the growing period of broilers and the empty house period between grow-outs. The model includes assumptions with respect to development of immunity to E. acervulina infection and effects of application of anticoccidial drugs. The model consists of a set of difference equations that are solved numerically at 1 h intervals. Under constant conditions, an equilibrium level was reached after a few grow-outs during which infection always peaked around the 21st day in the growing period. Within a growing period, infection peaked earlier (later) than the 21st day in case initial numbers of sporulated oocysts were higher (lower) than the equilibrium number.",
keywords = "anticoccidial drug efficacy, broilers, coccidiosis, Eimeria acervulina, host immunity, simulation",
author = "Henken, {A. M.} and Ploeger, {H. W.} and Graat, {E. A.M.} and Tim Carpenter",
year = "1994",
month = "1",
day = "1",
doi = "10.1017/S0031182000077362",
language = "English (US)",
volume = "108",
pages = "503--512",
journal = "Parasitology",
issn = "0031-1820",
publisher = "Cambridge University Press",
number = "5",

}

TY - JOUR

T1 - Description of a simulation model for the population dynamics of Eimeria acervulina infection in broilers

AU - Henken, A. M.

AU - Ploeger, H. W.

AU - Graat, E. A.M.

AU - Carpenter, Tim

PY - 1994/1/1

Y1 - 1994/1/1

N2 - A simulation model for the population dynamics of Eimeria acervulina infection in broilers is presented. The model describes the development of the numbers of parasites in the various life-stages during the growing period of broilers and the empty house period between grow-outs. The model includes assumptions with respect to development of immunity to E. acervulina infection and effects of application of anticoccidial drugs. The model consists of a set of difference equations that are solved numerically at 1 h intervals. Under constant conditions, an equilibrium level was reached after a few grow-outs during which infection always peaked around the 21st day in the growing period. Within a growing period, infection peaked earlier (later) than the 21st day in case initial numbers of sporulated oocysts were higher (lower) than the equilibrium number.

AB - A simulation model for the population dynamics of Eimeria acervulina infection in broilers is presented. The model describes the development of the numbers of parasites in the various life-stages during the growing period of broilers and the empty house period between grow-outs. The model includes assumptions with respect to development of immunity to E. acervulina infection and effects of application of anticoccidial drugs. The model consists of a set of difference equations that are solved numerically at 1 h intervals. Under constant conditions, an equilibrium level was reached after a few grow-outs during which infection always peaked around the 21st day in the growing period. Within a growing period, infection peaked earlier (later) than the 21st day in case initial numbers of sporulated oocysts were higher (lower) than the equilibrium number.

KW - anticoccidial drug efficacy

KW - broilers

KW - coccidiosis

KW - Eimeria acervulina

KW - host immunity

KW - simulation

UR - http://www.scopus.com/inward/record.url?scp=0028227321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028227321&partnerID=8YFLogxK

U2 - 10.1017/S0031182000077362

DO - 10.1017/S0031182000077362

M3 - Article

C2 - 8052505

AN - SCOPUS:0028227321

VL - 108

SP - 503

EP - 512

JO - Parasitology

JF - Parasitology

SN - 0031-1820

IS - 5

ER -