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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470784 | PMC |
| http://dx.doi.org/10.1016/j.asams.2020.08.001 | DOI Listing |
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Pipe Distribution as a Harm Reduction Service for People Who Use Methamphetamine.
Subst Use Misuse
December 2024
Community Health Sciences, School of Public Health, University of California Berkeley, Berkeley, California, USA.
Background: Methamphetamine use is disproportionately high in rural settings, with rates increasing during the COVID-19 pandemic. While syringe service programs reduce disease transmission among people who inject drugs, limited research exists around the value of smoking equipment, specifically pipes, in minimizing harms associated with rural methamphetamine use.
Methods: We conducted semi-structured interviews with people who use methamphetamine in rural southern Illinois.
Weathering the storm: Extreme weather events and their association with PED and PRRS occurrence.
Vet Microbiol
November 2024
Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.
Porcine epidemic diarrhea (PED) and Porcine reproductive and respiratory syndrome (PRRS) are viral diseases that continue to challenge the US swine industry. Despite many known risk factors, unusual circumstances associated with their occurrence continues to be poorly explained. We investigated if extreme weather events (flood, heavy rain, high wind and tornadoes, measured at a county-level) are associated with the occurrence of both diseases up to ten weeks after the occurrence of the weather event using a case control study and logistic regression modeling to control for covariates.
View Article and Find Full Text PDFEffective method to mitigate impact of rain or snowmelt sewer flushing events on wastewater-based surveillance measurements.
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Department of Civil Engineering, University of Ottawa, Ottawa K1N 6N5, Canada. Electronic address:
Wastewater-based surveillance (WBS) is increasingly used for monitoring disease targets in wastewaters around the world. This study, performed in Ottawa, Canada, identifies a decrease in SARS-CoV-2 wastewater measurements during snowmelt-induced sewer flushing events. Observations first revealed a correlation between suppressed viral measurements and periods of increased sewage flowrates, air temperatures above 0 °C during winter months, and solids mass flux increases.
View Article and Find Full Text PDFA novel rural hospital/clinic-system practice-based research network: the Rural Addiction Implementation Network (RAIN) initiative and its goals, implementation, and early results.
Am J Drug Alcohol Abuse
November 2024
Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), University of Utah School of Medicine, Salt Lake City, UT, USA.
Article Synopsis
- Rural and frontier communities are facing significant challenges with high rates of opioid use disorders (OUDs), prompting the establishment of the Rural Addiction Implementation Network (RAIN) in 2021 to promote evidence-based treatment and recovery services.
- RAIN created a practice-based research network across four rural hospitals/clinics, conducting 20 addiction-related prevention, treatment, and recovery (PTR) activities while navigating barriers like COVID-19, staff engagement, and stigma surrounding addiction.
- The initiative showcased the importance of trained facilitators and effective communication in overcoming implementation challenges, suggesting that RAIN's model could be replicated in other rural areas to combat addiction-related issues.
Study of the driving factors of the abnormal influenza A (H3N2) epidemic in 2022 and early predictions in Xiamen, China.
BMC Infect Dis
October 2024
Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian, 350012, China.
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- Influenza cases surged in southern China during the summer of 2022, with A (H3N2) accounting for 95.60% of reported cases, making the period a significant anomaly compared to previous years.* -
- The study analyzed the effects of weather and air quality on influenza A (H3N2) from 2013 to early 2020, using statistical models to predict the outbreak trends during the COVID-19 period.* -
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