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Rapid environmental change is linked to increases in aquatic disease heightening the need to develop strategies to manage disease. Filter-feeding species are effective biofilters and can naturally mitigate disease risk to humans and wildlife. We review the role of filter-feeders, with an emphasis on bivalves, in altering disease outcomes via augmentation and reduction. Filtration can reduce transmission by removing pathogens from the water column via degradation and release of pathogens in pseudofeces. In other cases, filtration can increase pathogen transmission and disease risk. The effect of filtration on pathogen transmission depends on the selectivity of the filter-feeder, the degree of infectivity by the pathogen, the mechanism(s) of pathogen transmission and the ability of the pathogen to resist degradation. For example, some bacteria and viruses can resist degradation and accumulate within a filter-feeder leading to disease transmission to humans and other wildlife upon ingestion. Since bivalves can concentrate microorganisms, they are also useful as sentinels for the presence of pathogenic microorganisms. While somewhat less studied, other invertebrates, including ascidians and sponges may also provide ecosystem services by altering pathogen transmission. In all scenarios, climate change may affect the potential for filter-feeders to mitigate disease risk. We conclude that an assessment including empirical data and modeling of system-wide impacts should be conducted before selection of filter-feeders to mitigate disease. Such studies should consider physiology of the host and microbe and risk factors for negative impacts including augmentation of other pathogens.
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http://dx.doi.org/10.1093/icb/icw048 | DOI Listing |
PLOS Glob Public Health
September 2025
TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Population-wide screening may accelerate the decline of tuberculosis (TB) incidence, but the optimal screening algorithm and duration must weigh resource considerations. We calibrated a deterministic transmission model to TB epidemiology in Viet Nam. We simulated three population-wide screening algorithms from 2025: sputum nucleic acid amplification tests (NAAT, Xpert MTB/RIF Ultra) only; chest radiography (CXR) followed by NAAT; and CXR-only without microbiological confirmation.
View Article and Find Full Text PDFVector Borne Zoonotic Dis
September 2025
Yunnan Province Key Laboratory of Public Health and Biosafety, Yunnan Key Laboratory of Cross-Border Infectious Disease Control and Prevention and Novel Drug Development, School of Public Health, Kunming Medical University, Kunming, P.R. China.
: Mosquitoes harbor diverse insect-specific viruses (ISVs) frequently overlooked in arbovirus surveillance. Comprehensive characterization of ISVs is crucial for understanding their impact on host ecology and potential roles in arbovirus transmission. : Using metagenomic sequencing on Armigeres subalbatus from Yunnan, China, we identified two novel picorna-like viruses, assembled their genomes, and conducted phylogenetic analysis.
View Article and Find Full Text PDFVector Borne Zoonotic Dis
September 2025
Laboratory of Veterinary Internal Medicine, BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Research Institute for Veterinary Science and College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
The zoonotic infectious disease, severe fever with thrombocytopenia syndrome (SFTS), caused by the SFTS virus (SFTSV), , was first identified in China in 2009 and reported in the Republic of Korea in 2013. The primary vector is the tick (.) , which is endemic to the Asia-Pacific region and has a wide range of hosts.
View Article and Find Full Text PDFFoodborne Pathog Dis
September 2025
Public Health Agency of Canada, National Microbiology Laboratory, Guelph, Canada.
is a human-specific protozoan parasite that causes gastrointestinal illness, primarily through the ingestion of contaminated water or fresh produce. This study provides an epidemiological overview of cyclosporiasis in Canada from 2000 to 2022 using data from the Canadian Notifiable Disease Surveillance System, FoodNet Canada, and outbreak investigations. A total of 5337 cases were reported during this period, with the incidence increasing from 0.
View Article and Find Full Text PDFBull Math Biol
September 2025
Department of Mathematics, Siena University, 515 Loudon Road, Loudonville, NY, 12211, USA.
Autonomous differential equation compartmental models hold broad utility in epidemiology and public health. However, these models typically cannot account explicitly for myriad factors that affect the trajectory of infectious diseases, with seasonal variations in host behavior and environmental conditions as noteworthy examples. Fortunately, using non-autonomous differential equation compartmental models can mitigate some of these deficiencies, as the inclusion of time-varying parameters can account for temporally varying factors.
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