
doi: 10.5281/zenodo.11366941 , 10.5281/zenodo.14447375 , 10.5281/zenodo.10419383 , 10.5281/zenodo.15173837 , 10.5281/zenodo.10964445 , 10.5281/zenodo.17607024 , 10.5281/zenodo.14055956 , 10.5281/zenodo.13827589 , 10.5281/zenodo.17506370 , 10.5281/zenodo.12090319 , 10.5281/zenodo.15829653 , 10.5281/zenodo.16420223 , 10.5281/zenodo.15364470 , 10.5281/zenodo.14780381 , 10.5281/zenodo.11235240 , 10.5281/zenodo.17313369 , 10.5281/zenodo.17062299 , 10.5281/zenodo.17206453 , 10.5281/zenodo.12207487 , 10.5281/zenodo.16920224 , 10.5281/zenodo.10401267 , 10.5281/zenodo.10246478 , 10.5281/zenodo.14967295 , 10.5281/zenodo.8074841 , 10.5281/zenodo.14845314 , 10.5281/zenodo.17910024 , 10.5281/zenodo.10718496 , 10.5281/zenodo.13325929 , 10.5281/zenodo.15075529 , 10.5281/zenodo.17964928 , 10.5281/zenodo.8074842 , 10.5281/zenodo.10609550 , 10.5281/zenodo.15296319 , 10.5281/zenodo.10572922 , 10.5281/zenodo.10046541 , 10.5281/zenodo.17775714 , 10.5281/zenodo.10036066 , 10.5281/zenodo.10650229 , 10.5281/zenodo.10793957 , 10.5281/zenodo.17255252 , 10.5281/zenodo.18266584 , 10.5281/zenodo.18387624
doi: 10.5281/zenodo.11366941 , 10.5281/zenodo.14447375 , 10.5281/zenodo.10419383 , 10.5281/zenodo.15173837 , 10.5281/zenodo.10964445 , 10.5281/zenodo.17607024 , 10.5281/zenodo.14055956 , 10.5281/zenodo.13827589 , 10.5281/zenodo.17506370 , 10.5281/zenodo.12090319 , 10.5281/zenodo.15829653 , 10.5281/zenodo.16420223 , 10.5281/zenodo.15364470 , 10.5281/zenodo.14780381 , 10.5281/zenodo.11235240 , 10.5281/zenodo.17313369 , 10.5281/zenodo.17062299 , 10.5281/zenodo.17206453 , 10.5281/zenodo.12207487 , 10.5281/zenodo.16920224 , 10.5281/zenodo.10401267 , 10.5281/zenodo.10246478 , 10.5281/zenodo.14967295 , 10.5281/zenodo.8074841 , 10.5281/zenodo.14845314 , 10.5281/zenodo.17910024 , 10.5281/zenodo.10718496 , 10.5281/zenodo.13325929 , 10.5281/zenodo.15075529 , 10.5281/zenodo.17964928 , 10.5281/zenodo.8074842 , 10.5281/zenodo.10609550 , 10.5281/zenodo.15296319 , 10.5281/zenodo.10572922 , 10.5281/zenodo.10046541 , 10.5281/zenodo.17775714 , 10.5281/zenodo.10036066 , 10.5281/zenodo.10650229 , 10.5281/zenodo.10793957 , 10.5281/zenodo.17255252 , 10.5281/zenodo.18266584 , 10.5281/zenodo.18387624
The Monte Carlo Risk Assessment (MCRA) software contains models for human health risk assessment for combined exposure to multiple chemicals via food intake, inhalation and dermal contact. Models are available to address all major areas of risk assessment, including hazard identification, hazard characterisation, (dietary and non-dietary) exposure assessment and risk assessment. The software supports risk assessments for any group of substances, health effect and population. MCRA also contains models following the guidelines and regulatory methodologies of the European Commission and the European Food Safety Authority (EFSA). The MCRA Core library contains the model implementations of the MCRA software that are used in the MCRA Web platform.
The tool is implemented in C# (C Sharp). EU; en; .zip; supportmcra@rivm.nl
Hazard characterisation, Risk assessment models, Acute, Dietary exposure, http://id.agrisemantics.org/gacs/C14469, Non-dietary exposure, http://id.agrisemantics.org/gacs/C11871, http://id.agrisemantics.org/gacs/C1470, Probabilistic models, http://id.agrisemantics.org/gacs/C29232, http://id.agrisemantics.org/gacs/C8394, Cumulative risk assessment, Chronic
Hazard characterisation, Risk assessment models, Acute, Dietary exposure, http://id.agrisemantics.org/gacs/C14469, Non-dietary exposure, http://id.agrisemantics.org/gacs/C11871, http://id.agrisemantics.org/gacs/C1470, Probabilistic models, http://id.agrisemantics.org/gacs/C29232, http://id.agrisemantics.org/gacs/C8394, Cumulative risk assessment, Chronic
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