Results 41 to 50 of about 84,173 (293)

Airborne geographical dispersal of Q fever from livestock holdings to human communities: a systematic review and critical appraisal of evidence

BMC Infectious Diseases, 2018
Background Q fever is a zoonotic disease caused by Coxiella burnetii. This bacterium survives harsh conditions and attaches to dust, suggesting environmental dispersal is a risk factor for outbreaks.
Nicholas J. Clark, Ricardo J. Soares Magalhães   +1 more
doaj   +1 more source

Social distance and spatial distance are not the same, observations on the use of GIS in leprosy epidemiology [PDF]

, 2008
Contacts of leprosy patients have a higher risk of developing clinical leprosy. Being a contact is defined socially, but with the introduction of geographical information systems (GIS) in infectious disease epidemiology, it is necessary to relate spatial
Fischer, E.A.J., pahan, D., Hoeven, T.A., Hoeven, T.A. (Theun), Pahan, D. (David), Fischer, E.A.J. (Egil), Richardus, J.H. (Jan Hendrik)   +6 more
core   +1 more source

Spatiotemporal heterogeneity and determinants of canine rabies evidence at Local Government Area Level in Nigeria: Implications for rabies prevention and control

One Health, 2022
Canine rabies poses a significant risk to humans and animals in Nigeria. However, the lack of reliable tools to evaluate the performance of existing canine rabies control programs to inform public health policy decisions poses a severe obstacle.
Philip P. Mshelbwala, J. Scott Weese, Nicholas J. Clark, Ishaya Tekki, Shovon Chakma, David Shamaki, Abdullah A. Mamun, Charles E. Rupprecht, Ricardo J. Soares Magalhães   +8 more
doaj   +1 more source

Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda [PDF]

, 2011
Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests ...
7341, Welburn Susan C, Eisler Mark C, 7343, 7342, 7345, 7344, 7346, Waiswa, C, Welburn, Susan C, Susan C Welburn, Kohei Makita, Eisler, MC, Charles Waiswa, Kaboyo Winyi, Makita, K., Mark C Eisler, Winyi Kaboyo, Eisler, Mark C., Fevre, EM, Kaboyo, W., Eisler, Mark C, Waiswa, Charles, Kaboyo, Winyi, Makita, K, Fevre, Eric, Makita Kohei, Welburn, S.C., Kaboyo, W, Fèvre, Eric M, Eisler, M.C., Eric M Fèvre, Makita, Kohei, Fèvre Eric M, Fèvre, Eric M., Waiswa Charles, Welburn, SC, Waiswa, C., Welburn, Susan C.   +38 more
core   +1 more source

Future trends of COVID-19 disease outbreak in different states in India: a periodic regression analysis

Highlights in BioScience, 2020
COVID-19 (Coronavirus disease 19) is the deadliest pandemic, and by August 2, 18.2 million population worldwide were infected with SARS-CoV-2 virus causing burden on human life and economic loss.
Bharath Prasad Cholanayakanahalli Thyaga, Srikantha Gowda, Sharanagouda Patil, Chandrashekar Srikantiah, Kuralayanapalya Puttahonnappa Suresh   +4 more
doaj   +1 more source

High dispersal capacity of Culicoides obsoletus (Diptera: Ceratopogonidae), vector of bluetongue and Schmallenberg viruses, revealed by landscape genetic analyses

Parasites & Vectors, 2021
Background In the last two decades, recurrent epizootics of bluetongue virus and Schmallenberg virus have been reported in the western Palearctic region.
Antoine Mignotte, Claire Garros, Simon Dellicour, Maude Jacquot, Marius Gilbert, Laetitia Gardès, Thomas Balenghien, Maxime Duhayon, Ignace Rakotoarivony, Maïa de Wavrechin, Karine Huber   +10 more
doaj   +1 more source

Spatial Modeling in Epidemiology

, 2022
The objective of this chapter is to present the methodology of some of the models used in the area of epidemiology, which are used to study, understand, model and predict diseases (infectious and non-infectious) occurring in a given region. These models, which belong to the area of geostatistics, are usually composed of a fixed part and a random part ...
María Guzmán Martínez, Eduardo Pérez-Castro, Ramón Reyes-Carreto, Rocio Acosta-Pech   +3 more
openaire   +1 more source

Local descriptive body weight and dietary norms, food availability, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical cohort

BMC Public Health, 2017
Background Individual-level health outcomes are shaped by environmental risk conditions. Norms figure prominently in socio-behavioural theories yet spatial variations in health-related norms have rarely been investigated as environmental risk conditions.
Suzanne J. Carroll, Catherine Paquet, Natasha J. Howard, Neil T. Coffee, Robert J. Adams, Anne W. Taylor, Theo Niyonsenga, Mark Daniel   +7 more
doaj   +1 more source

Global trends in antimicrobial use in aquaculture

Scientific Reports, 2020
Globally aquaculture contributes 8% of animal protein intake to the human diet, and per capita consumption is increasing faster than meat and dairy consumption.
Daniel Schar, Eili Y. Klein, Ramanan Laxminarayan, Marius Gilbert, Thomas P. Van Boeckel   +4 more
doaj   +1 more source

Resource Selection by Wild and Ranched White-Tailed Deer (Odocoileus virginianus) during the Epizootic Hemorrhagic Disease Virus (EHDV) Transmission Season in Florida

Animals, 2021
Epizootic hemorrhagic disease virus (EHDV) causes serious disease in wild and privately ranched white-tailed deer (Odocoileusvirginianus) in the United States. In Florida, there is high EHDV prevalence, yet no treatments.
Emily T.N. Dinh, Jeremy P. Orange, Rebecca M. Peters, Samantha M. Wisely, Jason K. Blackburn   +4 more
doaj   +1 more source