Results 31 to 40 of about 12,136,030 (282)

Quantitative microbial risk assessment of Vibrio parahaemolyticus foodborne illness of sea squirt (Halocynthia roretzi) in South Korea

open access: yesFisheries and Aquatic Sciences, 2021
The annual consumption of fishery products, particularly sea squirt (Halocynthia roretzi), per person has steadily increased in South Korea.
Joohyun Kang   +11 more
doaj   +1 more source

Quantitative microbial risk assessment of Greywater on-site reuse

open access: yesScience of The Total Environment, 2018
Recycle domestic greywater for on-site non-potable uses can lessen the demand on potable water and the burden on wastewater treatment plants. However, lack of studies to assess health risk associated with such practices has hindered their popularity.
Kuang-Wei Shi   +2 more
openaire   +3 more sources

Future challenges to microbial food safety. [PDF]

open access: yes, 2010
Despite significant efforts by all parties involved, there is still a considerable burden of foodborne illness, in which micro-organisms play a prominent role.
de Jong, A.   +8 more
core   +1 more source

Improved quantitative microbial risk assessment (QMRA) for drinking water sources in developing countries

open access: yesApplied Water Science, 2022
This study seeks to improve the QMRA of drinking water sources in the context of developing countries. Existing QMRA dose–response models were modified to use data generated from the developing country environment and scenarios.
D. A. Amatobi, J. C. Agunwamba
doaj   +1 more source

Estimators of annual probability of infection for quantitative microbial risk assessment [PDF]

open access: yesJournal of Water and Health, 2010
Four estimators of annual infection probability were compared pertinent to Quantitative Microbial Risk Analysis (QMRA). A stochastic model, the Gold Standard, was used as the benchmark. It is a product of independent daily infection probabilities which in turn are based on daily doses. An alternative and commonly-used estimator, here referred to as the
N, Karavarsamis, A J, Hamilton
openaire   +2 more sources

Microbial contamination and quantitative microbial risk assessment of high-density polyethylene (HDPE) film sachet drinking water in Ghana

open access: yesJournal of Water and Health, 2022
The present research estimated the impact of storage on the microbial quality of high-density polyethylene drinking water. Samples were taken from two popular companies in Greater Accra using a two-sided exact test in SAS JMP to estimate the sample size.
Prosper Naah Angnunavuri   +2 more
doaj   +1 more source

Using quantitative microbial risk assessment and life cycle assessment to assess management options in urban water and sanitation infrastructures: Opportunities and unresolved issues [PDF]

open access: yes, 2017
Quantitative microbial risk assessment (QMRA) and life cycle assessment (LCA) are two distinct environmental management techniques that can provide complementary perspectives when assessing management options for urban water and sanitation infrastructure.
Ashbolt, NJ,   +14 more
core   +1 more source

The microbial and chemical risk analysis of drinking water in a small island, Spermonde Archipelago [PDF]

open access: yesJournal of Water and Land Development
Coastal areas face greater risk in terms of health and the environment. They are the most vulnerable to impacts resulting from climate change. Coastal areas with higher population density also have more environmental problems, such as natural disasters ...
Agus B. Birawida   +9 more
doaj   +1 more source

Microbial water quality and health risk assessment in karst springs from Apuseni Mountains, Romania

open access: yesFrontiers in Environmental Science, 2022
In Apuseni Mountains (North-Western Romania), many of the inhabitants live in rural communities with limited or no access to the centralized and controlled water supply.
Zamfira Stupar   +8 more
doaj   +1 more source

Strengths and weaknesses of Monte Carlo simulation models and Bayesian belief networks in microbial risk assessment. [PDF]

open access: yes, 2010
We discuss different aspects of farm-to-fork risk assessment from a modelling perspective. Stochastic simulation models as they are presented today represent a mathematical representation of nature.
G.C. Barker   +9 more
core   +1 more source

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