Quantifying Key Parameters of Environmental Transmission and Age-Specific Susceptibility for Mycobacterium avium subspecies paratuberculosis (MAP)
Gao, Y.; Bijma, P.; de Jong, M. C.; Hartemink, N.
Show abstract
Paratuberculosis is a chronic disease in cows and other ruminants, caused by Mycobacterium avium subspecies paratuberculosis (MAP). We developed an age-specific dose-response model and two environmental transmission models (Model A and B) to estimate key parameters based on previously published experiments for MAP in dairy cows. In the dose-response model, the age-specific susceptibility decrease rate parameter was estimated at 0.0629{square}wk-1, suggesting that a previously used parameter of 0.1{square}wk-1 may have underestimated the infection risks with increasing age. For the transmission models, Model A represents infectivity differences among transiently infectious (I tr), low shedding (Il), high shedding (Ih) individuals by varying transmission rate parameters ([Formula]) with a standardized constant shedding rate parameter of 2.10{square}wk-1, whereas Model B captures these differences by varying shedding rate parameters ([Formula]) with one transmission rate parameter of 0.0299{square}wk-1. Although both models have identical best estimates and AIC values, Model B exhibited wider 95% confidence intervals (95% CI). In both models, the MAP decay rate parameter was estimated at 0.150{square}wk-1, corresponding to a half-life of MAP of approximately 4.61 weeks, which aligns well with previously published values. To better interpret these parameters and understand how different biological assumptions about infectivity influence predicted exposure, we performed scenario analyses examining environmental contamination over time, along with infection probabilities over exposure timing, exposure duration, and the recipients age at exposure. All 95% CI are provided in the main text.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Threshold analyses on rates of testing, transmission, and contact for COVID-19 control in a university setting 93%
- Modeling transmission dynamics and effectiveness of worker screening programs for SARS-CoV-2 in pork processing plants 93%
- Mathematical and Statistical Approaches in Epidemiological Investigation of Hospital Infection: A Case Study of the 2015 Middle East Respiratory Syndrome Outbreak in Korea 93%
Similar papers in this journal
- Modeling the Effect of Lockdown Timing as a COVID-19 Control Measure in Countries with Differing Social Contacts 92%
- Infection control strategies in essential industries: using COVID-19 in the food industry to model economic and public health trade-offs 92%
- Harnessing testing strategies and public health measures to avert COVID-19 outbreaks during ocean cruises 92%
Similar papers in this journal
- Fusing an agent-based model of mosquito population dynamics with a statistical reconstruction of spatio-temporal abundance patterns 93%
- Leveraging infectious disease models to interpret randomized controlled trials: controlling enteric pathogen transmission through water, sanitation, and hygiene interventions 93%
- Modelling Disease Mitigation at Mass Gatherings: A Case Study of COVID-19 at the 2022 FIFA World Cup 92%
Similar papers in this journal
- Modeling the transmission dynamics of African swine fever virus within commercial swine barns: Quantifying the contribution of multiple transmission pathways 93%
- Heterogeneous local dynamics revealed by classification analysis of spatially disaggregated time series data 92%
- Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: an agent-based modeling approach 92%
Similar papers in this journal
- Drivers of ESBL-producing Escherichia coli dynamics in calf fattening farms: a modelling study 92%
- Integrating Behavioural Science and Epidemiology to Improve Early Detection of Zoonotic Swine Influenza in the Netherlands 92%
- Wild boar trade and African swine fever risk of introduction into new territories: A quantitative release assessment with retrospective data of wild boar shipments to France and Spain (2010-2017). 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.