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Transient Transduction of the Strobilated Forms of Echinococcus granulosus
Published on: September 16, 2022
Environmental changes impacting Echinococcus transmission: research to support predictive surveillance and control
Jo-An M Atkinson1, Darren J Gray, Archie C A Clements
1School of Population Health, University of Queensland, Brisbane, Australia. joan.atkinson@uq.edu.au
Echinococcosis, a neglected zoonotic disease, is influenced by environmental changes. This review explores how climate change and human activities impact its transmission, urging integrated surveillance for public health action.
Area of Science:
- Parasitology
- Environmental Health
- Epidemiology
Background:
- Echinococcosis affects 2-3 million globally, causing significant human and economic losses.
- It is a neglected zoonotic disease, with underestimations due to detection and reporting challenges.
- Environmental factors are increasingly recognized as crucial in Echinococcus spp. transmission.
Purpose of the Study:
- To comprehensively review the impact of climate change and anthropogenic environmental factors on echinococcosis transmission.
- To explore how these factors influence animal dynamics, host overlap, and parasite egg survival.
- To advocate for research and integrated surveillance for effective public health interventions.
Main Methods:
- Comprehensive literature review on climate change, environmental factors, and echinococcosis transmission.
- Analysis of how environmental variables affect host populations and parasite viability.
- Synthesis of evidence to identify transmission determinants.
Main Results:
- Climate change and anthropogenic factors significantly influence echinococcosis transmission dynamics.
- Changes in temperature, rainfall, urbanization, and land use create conditions favorable for disease spread.
- Altered animal population dynamics and host spatial overlap are key mediators.
Conclusions:
- Environmental determinants are vital for understanding and predicting echinococcosis transmission risk.
- Integrated surveillance networks combining environmental, animal, and human data are essential.
- Predictive models informed by environmental data can guide cost-effective public health actions against echinococcosis.
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