Paragonimus and its hosts in China: An update
Xiao-Juan Zhou1, Qian Yang1, Qi-Hong Tan1
1Research lab of Freshwater Crustacean Decapoda & Paragonimus, School of Basic Medical Sciences, Nanchang University, Nanchang, Jiangxi, PR China.
Acta Tropica
|August 14, 2021
Summary
Paragonimiasis, a foodborne parasitic disease, is widespread in China, with over 50 Paragonimus species identified. This review maps the geographic and temporal distribution of Paragonimus metacercariae in intermediate hosts across China.
Area of Science:
- Veterinary parasitology
- Foodborne parasitic diseases
- Zoonotic disease epidemiology
Background:
- Paragonimiasis is a significant foodborne parasitic disease caused by Paragonimus lung flukes.
- China harbors the widest distribution and largest number of Paragonimus species globally.
- Over 50 Paragonimus species are reported worldwide, with several frequently found in China.
Purpose of the Study:
- To review and summarize the detection of Paragonimus metacercariae in second intermediate hosts in China from 1937 to 2020.
- To provide an updated overview of Paragonimus species and their hosts in China.
- To analyze the geographic and spatiotemporal dynamics of Paragonimus prevalence.
Main Methods:
- Comprehensive literature review of reports on Paragonimus metacercariae detection in second intermediate hosts across China (1937-2020).
- Data extraction on geographical range, species distribution, and second intermediate host species.
- Geographic Information System (GIS) analysis using ArcGIS 10.2 to generate distribution maps for different time periods.
Main Results:
- Paragonimus metacercariae have been detected in second intermediate hosts in 22 Chinese provinces and municipalities.
- Key species identified include P. westermani, P. skrjabini, P. heterotremus, and Euparagonimus cenocopiosus.
- Distribution maps illustrate the geographic spread and temporal changes in Paragonimus prevalence.
Conclusions:
- This review provides a comprehensive summary of Paragonimus species and their hosts in China.
- The analysis of spatiotemporal dynamics offers insights into the prevalence of Paragonimiasis in natural foci.
- Findings support further research and inform paragonimiasis prevention strategies in China.
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