Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Krisztian Magori"'
Publikováno v:
Microbiome, Vol 5, Iss 1, Pp 1-10 (2017)
Abstract Background Nearly a quarter of emerging infectious diseases identified in the last century are arthropod-borne. Although ticks and insects can carry pathogenic microorganisms, non-pathogenic microbes make up the majority of their microbial c
Externí odkaz:
https://doaj.org/article/d016919ab8ee4f418d18e04bbb5bd41c
Autor:
Micah D. Renicker, Nicholas Cysewski, Samuel Palmer, Dmytro Nakonechnyy, Andrew Keef, Morgan Thomas, Krisztian Magori, David P. Daberkow
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 12 (2018)
Oxytocin treatment reduces signs of long-term emotional stress after exposure to trauma; however, little is known about the potential protective effects of oxytocin treatment on behavioral and physiological changes associated with extreme stress expo
Externí odkaz:
https://doaj.org/article/85e2cd101a764a0e8f1b7155035f875b
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e61501 (2013)
The assumed straightforward connection between transmission intensity and disease occurrence impacts surveillance and control efforts along with statistical methodology, including parameter inference and niche modeling. Many infectious disease system
Externí odkaz:
https://doaj.org/article/cf640b7b73744debb13454f609dde272
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 7, p e1002104 (2011)
Vector-borne diseases are emerging and re-emerging in urban environments throughout the world, presenting an increasing challenge to human health and a major obstacle to development. Currently, more than half of the global population is concentrated
Externí odkaz:
https://doaj.org/article/e14594081fe94c05b0fc22761305ee65
Autor:
Mathieu Legros, Krisztian Magori, Amy C Morrison, Chonggang Xu, Thomas W Scott, Alun L Lloyd, Fred Gould
Publikováno v:
PLoS ONE, Vol 6, Iss 7, p e22701 (2011)
Skeeter Buster is a stochastic, spatially explicit simulation model of Aedes aegypti populations, designed to predict the outcome of vector population control methods. In this study, we apply the model to two specific locations, the cities of Iquitos
Externí odkaz:
https://doaj.org/article/969cc46096c745e09f3e122fd37f11a1
Autor:
Krisztian Magori, Mathieu Legros, Molly E Puente, Dana A Focks, Thomas W Scott, Alun L Lloyd, Fred Gould
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 3, Iss 9, p e508 (2009)
Dengue is the most important mosquito-borne viral disease affecting humans. The only prevention measure currently available is the control of its vectors, primarily Aedes aegypti. Recent advances in genetic engineering have opened the possibility for
Externí odkaz:
https://doaj.org/article/c09806f946fb4d32809c29fe8f0c1bba
Publikováno v:
Neural Computing and Applications. 34:14717-14728
Autor:
Teresa E Eggleston, Christy C. Andrade, Daniel Y Tsybulnik, Hugh Lefcort, Ruby J Browning, Harrison P Eagle, Krisztian Magori
Publikováno v:
Journal of Vector Ecology. 45:321-332
Due to climate change-induced alterations of temperature and humidity, the distribution of pathogen-carrying organisms such as ticks may shift. Tick survival is often limited by environmental factors such as dryness, but a predicted hotter and wetter
Autor:
Krisztian Magori, Roxanne McPeck
COVID-ADAPT is a stochastic, discrete-space, agent-based simulation model of airborne infection and public health interventions, capable of modeling SARS-CoV-2 transmission. Using a map of a real university dormitory floor, the model simulates agents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cf28a7749c34382e9266c33263f6d0c
https://doi.org/10.1101/2021.09.13.21263458
https://doi.org/10.1101/2021.09.13.21263458
Publikováno v:
Population Biology of Vector-Borne Diseases
The size of annual outbreaks in seasonally forced host-pathogen systems is poorly understood. We studied contributing factors to the six-fold observed variation in the number of human cases of West Nile virus in New York City in the years 2000–2008
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b4f7c02579ebcabc4b32b470e1d88b2
https://doi.org/10.1093/oso/9780198853244.003.0005
https://doi.org/10.1093/oso/9780198853244.003.0005