During investigations of epidemic polyarthritis at Nelson Bay, New South Wales, 12 strains of Ross River virus, the causative agent, were recovered from pools of mosquitoes. In addition, the mosquito pools yielded 9 strains of the flavivirus Edge Hill, 4 strains of a bunyavirus, Gan Gan, 1 strain of an orbivirus Tilligerry, and 1 strain of an ungrouped probable arbovirus, Yacaaba. The latter 3 viruses were found to be antigenically distinct from previously recorded arboviruses. A case of epidemic polyarthritis probably contracted at Bawley Point, approximately 400 kilometres south of Nelson Bay on the south coast of New South Wales, is recorded. Mosquitoes collected in the nearby Termeil State Forest one year later yielded a strain of Ross River virus and 5 strains of a previously undescribed ungrouped togavirus, Termeil. The extent of arboviral activity in temperate coastal areas of south-eastern Australia was unexpected.
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http://dx.doi.org/10.1038/icb.1980.9 | DOI Listing |
Contemp Clin Trials
December 2024
Neuroscience Research Australia (NeuRA), Sydney, Australia; School of Psychology, University of New South Wales, Sydney, Australia. Electronic address:
PLOS Glob Public Health
December 2024
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Knowing when and where infected mosquitoes bite is required for estimating accurate measures of malaria risk, assessing outdoor exposure, and designing intervention strategies. This study combines secondary analyses of a human behaviour survey and an entomological survey carried out in the same area to estimate human exposure to malaria-infected Anopheles mosquitoes throughout the night in rural villages in south-eastern Tanzania. Mosquitoes were collected hourly from 6PM to 6AM indoors and outdoors by human landing catches in 2019, and tested for Plasmodium falciparum sporozoite infections using ELISA.
View Article and Find Full Text PDFEcol Lett
December 2024
Fenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia.
Quantifying temporal changes in species occurrence has been a key part of ecology since its inception. We quantified multidecadal site occupancy trajectories for 18 bird species in four independent long-term, large-scale studies (571 sites, ~1000 km latitude) in Australia. We found evidence of a year × long-term study interaction in the best-fitting models for 14 of the 18 species analysed, with differences in the temporal trajectories of the same species in multiple studies consistent with non-stationarity.
View Article and Find Full Text PDFBMJ Open Sport Exerc Med
December 2024
Department of Community Medicine and Rehabilitation - Physiotherapy Section, Umeå University, Umea, Västerbotten, Sweden.
Physical activity guidelines targeting different populations with and without chronic diseases or disabilities are required to meet the diverse functional and physiological needs experienced by different subgroups of people to achieve optimal health benefits. As the importance of physical activity guidelines in promoting optimal health and well-being becomes increasingly recognised, there is a critical need for their systematic evaluation to ensure they remain effective, applicable and aligned with evolving health needs and scientific insights. This study aims to systematically review, critically evaluate, and compare global physical activity and sedentary behaviour guidelines on frequency, intensity, time, and type of exercise for adults, pregnant and postpartum women, and people living with chronic conditions and/or disabilities.
View Article and Find Full Text PDFLancet Digit Health
January 2025
University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; Centre for Patient Reported Outcomes Research, School of Health Sciences, College of Medical and Dental Sciences, Birmingham, UK; University of Birmingham, Birmingham, UK. Electronic address:
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups.
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