Mathematical models for the control of cystic echinococcosis

被引:37
|
作者
Torgerson, PR [1 ]
机构
[1] Univ Zurich, Inst Parasitol, WHO, Collaborating Ctr Parasit Zoonoses, CH-8057 Zurich, Switzerland
关键词
Echinococcus granulosus; epidemiology; mathematical models; control programme;
D O I
10.1016/j.parint.2005.11.037
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Cystic echinococcosis (CE) caused by Echinococcus granulosus is a global public health problem. In many areas the disease is being diagnosed in increasing numbers, whilst in other areas it is re-emerging due to the collapse of public health programmes associated with socioeconomic changes. Mathematical models of the transmission dynamics between animals can have an important role to play in developing control options. In particular the parasite is highly endemic in many lower income countries where resources to undertake an intensive control programme that has been successful in wealthy countries, such as New Zealand, are not available. Data from dogs and livestock have been collected and modelled from a number of different countries and regions. In Australia and New Zealand transmission modelling was first developed and these models have been refined using data from the Middle East and central Asia. The model indicates that relatively intense anthelmintic treatment of the dog population will result in a substantial decrease in the parasite population over time and has been supported by the results of control programmes. However, if the newly developed sheep vaccine is included in the control programme, then it should be possible to treat dogs less frequently to achieve the same result. This is due to the potentiating effects of attacking the parasite at two places in its life cycle. This should result in considerable cost savings over the use intensive anthelmintic treatment as the sole method of control. (C) 2005 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:S253 / S258
页数:6
相关论文
共 50 条
  • [1] The use of mathematical models to simulate control options for echinococcosis
    Torgerson, PR
    ACTA TROPICA, 2003, 85 (02) : 211 - 221
  • [2] Prevention and control of cystic echinococcosis
    Craig, Philip S.
    McManus, Donald P.
    Lightowlers, Marshall W.
    Chabalgoity, Jose A.
    Garcia, Hector H.
    Gavidia, Cesar M.
    Gilman, Robert H.
    Gonzalez, Armando E.
    Lorca, Myriarn
    Naguira, Cesar
    Nieto, Alberto
    Schantz, Peter M.
    LANCET INFECTIOUS DISEASES, 2007, 7 (06): : 385 - 394
  • [3] Control programme for cystic echinococcosis in Uruguay
    Irabedra, Pilar
    Ferreira, Ciro
    Sayes, Julio
    Elola, Susana
    Rodriguez, Miriam
    Morel, Noelia
    Segura, Sebastian
    dos Santos, Estela
    Guisantes, Jorge A.
    MEMORIAS DO INSTITUTO OSWALDO CRUZ, 2016, 111 (06): : 372 - 377
  • [4] Control of cystic echinococcosis: Background and prospects
    Larrieu, Edmundo
    Gavidia, Cesar M.
    Lightowlers, Marshall W.
    ZOONOSES AND PUBLIC HEALTH, 2019, 66 (08) : 889 - 899
  • [5] Dynamic modeling and optimal control of cystic echinococcosis
    Rong Xinmiao
    Fan Meng
    Zhu Huaiping
    Zheng Yaohui
    贫困所致传染病(英文), 2021, 10 (02) : 25 - 37
  • [6] Dynamic modeling and optimal control of cystic echinococcosis
    Xinmiao Rong
    Meng Fan
    Huaiping Zhu
    Yaohui Zheng
    Infectious Diseases of Poverty, 10
  • [7] Innovative diagnostic tools to control cystic echinococcosis
    Maurelli, M. P.
    Rinaldi, L.
    Pepe, P.
    Ianniello, D.
    Amadesi, A.
    Cringoli, G.
    TROPICAL MEDICINE & INTERNATIONAL HEALTH, 2015, 20 : 48 - 48
  • [8] Dynamic modeling and optimal control of cystic echinococcosis
    Rong, Xinmiao
    Fan, Meng
    Zhu, Huaiping
    Zheng, Yaohui
    INFECTIOUS DISEASES OF POVERTY, 2021, 10 (01)
  • [9] Cystic Echinococcosis
    Higuita, Nelson Ivan Agudelo
    Brunetti, Enrico
    McCloskey, Cindy
    JOURNAL OF CLINICAL MICROBIOLOGY, 2016, 54 (03) : 518 - 523
  • [10] Cystic echinococcosis
    Pham, Huy
    Kupshik, David
    Kin, Collier
    Romano, Peter
    APPLIED RADIOLOGY, 2019, 48 (05) : 42 - 43