Microbial Risk Analysis

Papers
(The median citation count of Microbial Risk Analysis is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Thermodynamic equilibrium dose-response models for MERS-CoV infection reveal a potential protective role of human lung mucus but not for SARS-CoV-224
Sentinel Coronavirus environmental monitoring can contribute to detecting asymptomatic SARS-CoV-2 virus spreaders and can verify effectiveness of workplace COVID-19 controls22
Strain Wars: Competitive interactions between SARS-CoV-2 strains are explained by Gibbs energy of antigen-receptor binding18
COVID-19 risk assessment at the opening ceremony of the Tokyo 2020 Olympic Games18
Refined ambient water quality thresholds for human-associated fecal indicator HF183 for recreational waters with and without co-occurring gull fecal contamination17
Strain wars 3: Differences in infectivity and pathogenicity between Delta and Omicron strains of SARS-CoV-2 can be explained by thermodynamic and kinetic parameters of binding and growth17
Comparing Regression Models with Count Data to Artificial Neural Network and Ensemble Models for Prediction of Generic Escherichia coli Population in Agricultural Ponds Based on Weather Station Measur15
How virus size and attachment parameters affect the temperature sensitivity of virus binding to host cells: Predictions of a thermodynamic model for arboviruses and HIV13
Risk factors for sporadic Yersinia enterocolitica infections: a systematic review and meta-analysis12
The SARS-CoV-2 Hydra, a tiny monster from the 21st century: Thermodynamics of the BA.5.2 and BF.7 variants12
A dynamic quantitative microbial risk assessment for norovirus in potable reuse systems11
Risk factors for sporadic toxoplasmosis: A systematic review and meta-analysis10
Assessment of COVID-19 risk and prevention effectiveness among spectators of mass gathering events10
A qualitative risk assessment approach to microbial foodborne hazards in Brazilian intensive pork production: A step towards risk prioritization10
Trends in conducting quantitative microbial risk assessments for water reuse systems: A review9
Beyond COVID-19: Do biothermodynamic properties allow predicting the future evolution of SARS-CoV-2 variants?9
Quantitative microbial risk assessment to estimate the public health risk from exposure to enterotoxigenic E. coli in drinking water in the rural area of Villapinzon, Colombia8
Risk factors for sporadic campylobacteriosis: A systematic review and meta-analysis8
Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.7
Never ending story? Evolution of SARS-CoV-2 monitored through Gibbs energies of biosynthesis and antigen-receptor binding of Omicron BQ.1, BQ.1.1, XBB and XBB.1 variants7
Strategy for systematic review of observational studies and meta-analysis modelling of risk factors for sporadic foodborne diseases7
Risk factors for sporadic salmonellosis: a systematic review and meta-analysis7
Risk factors for sporadic listeriosis: A systematic review and meta-analysis7
A tiered approach to risk assess microbiome perturbations induced by application of beauty and personal care products6
Risk-based control of Campylobacter spp. in broiler farms and slaughtered flocks to mitigate risk of human campylobacteriosis – A One Health approach6
Simulation and prediction of spread of COVID-19 in The Republic of Serbia by SEAIHRDS model of disease transmission6
Prioritization of vector-borne diseases in Canada under current climate and projected climate change6
Qualitative assessment of the probability of introduction and onward transmission of lumpy skin disease in Ukraine6
Risk of nasal colonization of methicillin-resistant Staphylococcus aureus during preparation of contaminated retail pork meat6
Risk factors for sporadic infections caused by Shiga toxin-producing Escherichia coli: a systematic review and meta-analysis6
A dose response model for the inhalation route of exposure to P. aeruginosa5
Assessing the risk of acute gastrointestinal illness (AGI) acquired through recreational exposure to combined sewer overflow-impacted waters in Philadelphia: A quantitative microbial risk assessment5
Why doesn't Ebola virus cause pandemics like SARS-CoV-2?5
Quantitative assessment of microbiological risks due to red meat consumption in France5
Risk factors for sporadic hepatitis E infection: a systematic review and meta-analysis5
Prediction of infectivity of SARS-CoV2: Mathematical model with analysis of docking simulation for spike proteins and angiotensin-converting enzyme 25
A semi-quantitative model for ranking the risk of incursion of exotic animal pathogens into a European Union Member State5
Risk factors for sporadic cryptosporidiosis: A systematic review and meta-analysis4
Risk and socio-economic impact for Staphylococcus aureus foodborne illness by ready-to-eat salad consumption4
Strain wars 5: Gibbs energies of binding of BA.1 through BA.4 variants of SARS-CoV-24
Assessing the Risk of Salmonellosis from Consumption of Conventionally and Alternatively Produced Broiler Meat Prepared In-Home in the United States4
Risk factors for sporadic norovirus infection: A systematic review and meta-analysis4
Detection, molecular characterization, and antimicrobial susceptibility, of Campylobacter spp. isolated from shellfish4
Thermal inactivation kinetics of seven genera of vegetative bacterial pathogens common to the food chain are similar after adjusting for effects of water activity, sugar content and pH3
A dynamic risk assessment approach based on stochastic hybrid system: Application to microbial hazards in food processing3
Cryptosporidium’s burden of disease attributable to consumption of wastewater-irrigated raw vegetables3
Assessing the effectiveness of revised performance standards for Salmonella contamination of comminuted poultry3
Effects of test timing and isolation length to reduce the risk of COVID-19 infection associated with airplane travel, as determined by infectious disease dynamics modeling3
Multidirectional dynamic model for the spread of extended-spectrum-β-lactamase-producing Escherichia coli in the Netherlands3
Application of a predictive microbiological model for estimation of Salmonella behavior throughout the manufacturing process of salami in environmental conditions of small-scale Brazilian manufacturer3
Upcoming epidemic storm: Empirical formulas, biosynthesis reactions, thermodynamic properties and driving forces of multiplication of the omicron XBB.1.9.1, XBF and XBB.1.16 (Arcturus) variants of SAR3
Quantitative risk assessment of meat-borne Toxoplasma gondii infection in the mainland of China2
Risk factors for sporadic giardiasis: a systematic review and meta-analysis2
SARS-CoV-2 strain wars continues: Chemical and thermodynamic characterization of live matter and biosynthesis of Omicron BN.1, CH.1.1 and XBC variants2
Ghosts of the past: Elemental composition, biosynthesis reactions and thermodynamic properties of Zeta P.2, Eta B.1.525, Theta P.3, Kappa B.1.617.1, Iota B.1.526, Lambda C.37 and Mu B.1.621 variants o2
A climate-driven model for predicting the level of Vibrio parahaemolyticus in oysters harvested from Taiwanese farms using elastic net regularized regression2
A second-order Monte Carlo simulation model to describe coagulase-positive Staphylococci growth in mayonnaise served in Algerian pizzerias2
A data simulation method to optimize a mechanistic dose-response model for viral loads of hepatitis A2
Risk of Monkeypox virus (MPXV) transmission through the handling and consumption of food2
The use of bayesian networks and bootstrap to evaluate risks linked to the microbial contamination of leafy greens irrigated with reclaimed water in Southeast Spain2
Risk factors for sporadic hepatitis A infection: A systematic review and meta-analysis2
Assessing the aggregated probability of entry of a novel prion disease agent into the United Kingdom2
Seasonal variation in the transmission rate of covid-19 in a temperate climate can be implemented in epidemic population models by using daily average temperature as a proxy for seasonal changes in tr2
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