33 results match your criteria: "Washington State University Global Health-Kenya[Affiliation]"

Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya.

Int J Environ Res Public Health

April 2021

Spatial Epidemiology and Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL 32611, USA.

Article Synopsis
  • Climate change is expected to increase the prevalence and geographical spread of infectious diseases like anthrax, particularly in regions like Kenya where knowledge about these impacts is limited.
  • The study used ecological niche modeling with historical anthrax occurrence data to predict future distributions of the disease under different climate scenarios for the year 2055.
  • Findings show a predicted expansion of anthrax risk areas from 36,131 km² currently to approximately 40,012 km² and 39,835 km² under climate change scenarios RCP 4.5 and 8.5, respectively, with a notable northward shift in distribution.
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Background: Poultry represent a widely held economic, nutritional, and sociocultural asset in rural communities worldwide. In a recent longitudinal study in western Kenya, the reported mean number of chickens per household was 10, with increases in flock size constrained principally by mortality. Newcastle disease virus is a major cause of chicken mortality globally and hypothesized to be responsible for a large part of mortality in smallholder flocks.

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Article Synopsis
  • * Water-borne diseases are a significant public health issue, particularly in Africa, which accounts for 53% of global diarrheal cases, mainly due to contaminated water sources.
  • * The scoping review aims to gather and analyze evidence on water access in African cities with populations over half a million, focusing on its connection to water-borne diseases, using studies published in scientific journals.
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Background: The relationship between antibiotic use and antimicrobial resistance varies with cultural, socio-economic, and environmental factors. We examined these relationships in Kibera, an informal settlement in Nairobi-Kenya, characterized by high population density, high burden of respiratory disease and diarrhea.

Methods: Two-hundred households were enrolled in a 5-month longitudinal study.

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Background: Chickens are a widely held economic and nutritional asset in rural Africa and are frequently managed by women. Despite potential benefits of larger flock sizes, the average number of chickens kept at the household level is reported to be low. Whether this reflects decision-making to maximize benefits per unit labor by voluntary reduction of chicken numbers by consumption or sale versus involuntary losses due to mortality is a significant gap in knowledge relevant to improving smallholder household welfare.

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The use of veterinary antibiotics is largely unregulated in low-income countries. Consequently, food producers rarely observe drug withdrawal periods, contributing to drug residues in food products. Drug residues in milk can cause immunogenic reactions in people, and selectively favor antibiotic-resistant bacteria in unpasteurized products.

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Human adenoviruses (HAdVs) were previously detected at high prevalence by real-time reverse transcription-polymerase chain reaction (rRT-PCR) in the upper respiratory tract of residents of two Kenyan refugee camps under surveillance for acute respiratory infection (ARI) between October 2006 and April 2008. We sought to confirm this finding and characterize the HAdVs detected. Of 2148 respiratory specimens originally tested, 511 (23.

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Background: Podoconiosis (mossy foot) is a neglected non-filarial elephantiasis considered to be caused by predisposition to cumulative contact of uncovered feet to irritative red clay soil of volcanic origins in the tropical regions. Data from structured observational studies on occurrence of Podoconiosis and related factors are not available in Kenya.

Methodology/principal Findings: To establish the occurrence and aspects associated with Podoconiosis, a cross-sectional survey was implemented in an area located within 30 km from the foot of volcanic Mount Longonot in the Great Rift Valley in Kenya.

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