http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:14277 Wed 07 Apr 2021 14:02:22 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13986 Wed 07 Apr 2021 14:02:05 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13456 Wed 07 Apr 2021 14:01:36 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13060 Wed 07 Apr 2021 14:01:15 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12933 Wed 07 Apr 2021 14:01:08 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12734 5 years) admitted to the paediatric ward of Goroka General Hospital from August 2009 through November 2010. A large range of viral and bacterial enteric pathogens were targeted using real-time PCR/RT-PCR assays. Results: Young children were much more likely to be admitted with acute gastroenteritis, with 62.8% of patients aged >1 year and 88.4% aged >2 years. An enteric pathogen was detected in 69.8% (n= 138) of patients. The most commonly detected pathogens were Shigella spp (26.6%), rotavirus (25.6%), adenovirus types 40/41 (11.6%), enterotoxigenic Escherichia coli (11.1%), enteropathogenic E. coli (8.5%), norovirus G2 (6.0%), and Campylobacter spp (4.0%). Norovirus G1, sapovirus, and Salmonella spp were also detected, but below our statistical limit of detection. Vibrio cholerae and astrovirus were not detected in any patients. Mixed infections were detected in 22.1% of patients, with Shigella and rotavirus most commonly detected in co-infections with other pathogens. Conclusions: This study demonstrates that Shigella and rotavirus are the major pathogens associated with acute paediatric gastroenteritis in this setting. © 2014 The Authors.]]> Wed 07 Apr 2021 14:00:57 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12636 Wed 07 Apr 2021 14:00:52 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12559 Wed 07 Apr 2021 14:00:48 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:12277 Wed 07 Apr 2021 14:00:33 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11768 Wed 07 Apr 2021 13:57:02 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11274 Wed 07 Apr 2021 13:56:37 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:10660 60 % tree cover) whereas the Dirus Complex was predicted to occur in areas with 10-100 % tree cover as well as vegetation mosaics and cropland. Of the macaque species, M. nemestrina was mainly predicted to occur in forested areas whereas M. fascicularis was predicted to occur in vegetation mosaics, cropland, wetland and urban areas in addition to forested areas. Conclusions: The predicted M. fascicularis distribution encompassed a wide range of habitats where humans are found. This is of most significance in the northern part of its range where members of the Dirus Complex are the main P. knowlesi vectors because these mosquitoes were also predicted to occur in a wider range of habitats. Our results support the hypothesis that conversion of intact forest into disturbed forest (for example plantations or timber concessions), or the creation of vegetation mosaics, will increase the probability that members of the Leucosphyrus Complex occur at these locations, as well as bringing humans into these areas. An explicit analysis of disease risk itself using infection data is required to explore this further. The species distributions generated here can now be included in future analyses of P. knowlesi infection risk. © 2016 Moyes et al.]]> Wed 07 Apr 2021 13:56:00 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:15509 Mon 13 Dec 2021 14:43:11 AEDT ]]>