TY - JOUR
T1 - Dynamics of echinococcosis transmission among multiple species and a case study in Xinjiang, China
AU - Zhu, Guanghu
AU - Chen, Sixing
AU - SHI, Benyun
AU - Qiu, Hongjun
AU - Xia, Shang
N1 - Funding Information:
This research was jointly supported by the National Natural Science Foundation of China ( 11661026 ), and Guangxi Natural Science Foundation ( 2017GXNSFAA198235 ).
PY - 2019/10
Y1 - 2019/10
N2 - Human echinococcosis is an emerging but neglected zoonotic disease caused by parasites of genus Echinococcus. Its morbidity and mortality keep increasing in recent years, partially due to poor understanding of transmission dynamics and lack of effective control strategies of the disease. This paper aims to provide a modeling framework for analyzing echinococcosis transmission among multiple species and investigating spread dynamics of echinococcosis infection in Xinjiang Uygur Autonomous Region (XUAR), China. Based on the notions of compartmental and deterministic principles, a new echinococcosis transmission model is proposed, which incorporates the intrinsic interactions among intermediate hosts (IHs), definitive hosts (DHs), humans and echinococcus eggs (EEs). It is theoretically proved that the basic reproduction number R0 is the epidemic threshold, which determines the global stability of the disease-free and endemic equilibria. The model is validated with real data by applying retrospectively to the 2008–2012 seasonal echinococcosis infection in XUAR. It is found that the basic reproduction number in XUAR could be R0=1.69. If without control strategies, human incidence would keep increasing in the following years, reaching stable level at about 55,000 cases at the end of this century. Finally, the effects of transmission parameters are clarified by numerical simulations. It is observed that the interaction patterns among these species play a key role in echinococcosis transmission. The present study provides useful information to improve the understanding of echinococcosis transmission and further help control the disease.
AB - Human echinococcosis is an emerging but neglected zoonotic disease caused by parasites of genus Echinococcus. Its morbidity and mortality keep increasing in recent years, partially due to poor understanding of transmission dynamics and lack of effective control strategies of the disease. This paper aims to provide a modeling framework for analyzing echinococcosis transmission among multiple species and investigating spread dynamics of echinococcosis infection in Xinjiang Uygur Autonomous Region (XUAR), China. Based on the notions of compartmental and deterministic principles, a new echinococcosis transmission model is proposed, which incorporates the intrinsic interactions among intermediate hosts (IHs), definitive hosts (DHs), humans and echinococcus eggs (EEs). It is theoretically proved that the basic reproduction number R0 is the epidemic threshold, which determines the global stability of the disease-free and endemic equilibria. The model is validated with real data by applying retrospectively to the 2008–2012 seasonal echinococcosis infection in XUAR. It is found that the basic reproduction number in XUAR could be R0=1.69. If without control strategies, human incidence would keep increasing in the following years, reaching stable level at about 55,000 cases at the end of this century. Finally, the effects of transmission parameters are clarified by numerical simulations. It is observed that the interaction patterns among these species play a key role in echinococcosis transmission. The present study provides useful information to improve the understanding of echinococcosis transmission and further help control the disease.
KW - Basic reproduction number
KW - Control and prevention
KW - Echinococcosis
KW - Prediction
KW - Transmission dynamics
UR - http://www.scopus.com/inward/record.url?scp=85068010221&partnerID=8YFLogxK
U2 - 10.1016/j.chaos.2019.06.032
DO - 10.1016/j.chaos.2019.06.032
M3 - Article
AN - SCOPUS:85068010221
SN - 0960-0779
VL - 127
SP - 103
EP - 109
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
ER -