# How to Perform a Risk Assessment for a Microbiology Experiment By the end of this guide you will be able to convert a written protocol into a signed, version-controlled risk assessment that names the agent, the hazardous steps, the exposure routes, a defensible likelihood and consequence score, the controls that actually reduce the score, the residual risk that remains, and the date or event that triggers a review. You will also be able to explain the result to a biosafety committee without hand-waving. Have these on hand before you open the form: - The full protocol with volumes, concentrations, durations, temperatures, and equipment. - An agent data sheet: genus and species, strain designation, source (clinical, environmental, culture collection), passage history, any genetic modification, and the assigned risk group. - Published data on infectious dose, transmission routes, treatment, and prophylaxis for the agent, or an explicit "unknown" entry where data do not exist. - Facility description: room classification, cabinet class, directional airflow, autoclave location, waste route. - Equipment records: biosafety cabinet certification date, centrifuge rotor sealing, autoclave validation. - Personnel records: training, competency sign-off, immunization status, and any individual health factors volunteered to occupational health. - Your institution's scoring matrix, approval thresholds, and incident reporting form. A risk assessment is a decision document, not a literature review. It answers five questions in order: what can go wrong, how often could it happen, how bad would it be, what stops it, and who accepts what remains. ## What a Microbiology Risk Assessment Actually Decides A hazard is a source of harm. A risk is the combination of how likely that harm is and how severe it would be. Exposure is the contact between the agent and a host or the environment. A risk group is a classification of the agent itself, usually on a four-tier scale that weighs pathogenicity, transmission, treatment availability, and host range. A [biosafety level](/knowledge/diagnostics/emerging-tech/biosafety-levels-1-4-a-comparative-framework-for-diagnostic-laboratory-design) is the facility, engineering, practice, and protective equipment bundle used to work with that agent. Residual risk is what is left after controls are applied. A risk assessment that does not state a residual risk has not finished. The classification is not permanent. The genus *Henipavirus* contains Nipah virus and Hendra virus, both classified as Risk Group 4 agents and both recognized as priority pathogens by the World Health Organization. Recent International Committee on Taxonomy of Viruses revisions restrict the genus to bat-borne viruses, and eight members have been identified to date [1]. Any assessment that names an agent should record the taxonomic authority and the version of the classification used, because a rename or reclassification changes the scope of the document. Strain-level detail changes the consequence rating. Gram-negative bloodstream infections, particularly those caused by carbapenem-resistant organisms and *Acinetobacter baumannii*, carry substantial morbidity and mortality [2]. A carbapenem-susceptible *A. baumannii* isolate and a carbapenem-resistant isolate of the same species are not the same hazard, and the assessment should not treat them as interchangeable. The output of the process is four decisions: approve, approve with conditions, revise and resubmit, or reject. Everything else in the template exists to support those four decisions. ## What You Need on Hand Before You Start A risk assessment built from memory fails at the first audit. The inputs below correspond to the fields most often left blank. 1. **Scope statement.** One or two sentences naming the experiment, the room, the dates, and the person accountable. 2. **Agent identity.** Species, strain, source, passage number, and modification status. Record whether the strain is wild type, attenuated, or genetically disabled. 3. **Biosafety classification.** Risk group, proposed biosafety level, and the justification for both. 4. **Unit operation list.** Every physical action in the protocol, from thawing the freezer stock to decontaminating the waste. 5. **Exposure routes.** Inhalation, ingestion, inoculation, mucous membrane contact, skin contact, animal contact, and environmental release. 6. **Consequence data.** Disease severity, treatment options, prophylaxis, secondary transmission potential, and environmental impact. 7. **Control inventory.** What engineering controls exist, what practices are written, what protective equipment is stocked. 8. **Monitoring plan.** What you will sample, how often, and what action a positive result triggers. ## The Microbiology Risk Assessment Template Format A usable template has eight blocks in a fixed order. Put them in this sequence and the document will survive review. 1. Scope and accountability. 2. Agent and classification. 3. Hazard and unit operation register. 4. Exposure assessment by route. 5. Consequence rating. 6. Controls by hierarchy. 7. Residual risk and approval. 8. Review triggers and version history. The header carries the administrative data. The register carries the science. ```text RISK ASSESSMENT RECORD Assessment ID: RA-2026-014 Version: 1.0 Owner: Laboratory manager Protocol: Subculture, centrifugation, and inactivation of a carbapenem-resistant Acinetobacter baumannii isolate Agent: A. baumannii, clinical isolate AB-114, carbapenem-resistant Risk group: 2 Proposed biosafety level: 2 Facility: Room 3-214, Class II biological safety cabinet, sealed centrifuge rotor, validated autoclave on the same floor Personnel: 2 staff, current BSL-2 competency sign-off, hepatitis B immunization documented Review due: 2027-05-10, or earlier on any trigger listed in Block 8 ``` The register below is the working part of the template. Each row is one unit operation, not one agent. | Field | What goes in it | |--|--| | Row ID | A stable code such as UO-03 so controls and audits can reference it | | Unit operation | The physical action, for example "vortex 10 mL culture in an open tube" | | Hazard | Aerosol, droplet, sharps, spill, surface contamination, gene transfer | | Route | Inhalation, inoculation, ingestion, mucous membrane, environmental | | Likelihood | Integer 1 to 5 with the anchor that justified it | | Consequence | Integer 1 to 5 with the anchor that justified it | | Score | Likelihood multiplied by consequence | | Controls | Engineering, administrative, and protective equipment, in that order | | Residual score | The score after controls, with the same anchors | | Owner and status | Named person, open, approved, or closed | ### Step 1: Fix the scope and the agent identity Write the scope as a sentence a stranger could audit. "Subculture of a carbapenem-resistant *A. baumannii* clinical isolate in Room 3-214, Monday to Friday, for eight weeks" is auditable. "Routine microbiology work" is not. Record the agent at strain level. Note the culture collection number or clinical isolate identifier, the passage history, and whether the strain carries a selectable marker. A marker such as ampicillin resistance is not a hazard in itself, but it becomes one if the experiment could transfer it to a recipient strain, which is covered later in this guide. State the proposed biosafety level and the reason. The justification should reference the agent's risk group, the route of transmission, and the quantity of agent handled. If the proposal is to work at a lower level than the risk group suggests, the justification must name the specific inactivation, attenuation, or containment feature that makes the lower level defensible. ### Step 2: List every unit operation and its hazards Split the protocol into physical steps. Most protocols contain between ten and thirty. For each step, ask three questions: does it create an aerosol, does it create a surface or liquid contamination, and does it create a sharp or a breakable container. Operations that routinely generate aerosols include pipetting, vortexing, opening a pressurized tube, centrifugation without a sealed rotor, sonication, homogenization, flow cytometry sorting, and pouring liquids. Operations that routinely generate sharps injuries include needle use, glass pasteur pipettes, broken tubes, and scalpel work. Operations that spread contamination include handling caps, discarding into open waste, and transporting plates without secondary containment. The hazard column should also carry hazards that are easy to omit because they are not infectious in the classic sense: gene transfer between strains, phage-mediated transduction, allergic sensitization to fungal spores, and chemical exposure from fixatives and stains. ### Step 3: Assess exposure route by route For each route, estimate the amount of agent that could reach the host if the control fails. This is the step where volume and concentration matter more than the identity of the organism. ```text Culture density: 1 x 10^9 CFU/mL Droplet volume: 1 microliter = 1 x 10^-3 mL CFU per droplet = (1 x 10^9) x (1 x 10^-3) = 1 x 10^6 CFU Assume 10 percent of an inhaled aerosol deposits in the respiratory tract Deposited dose = (1 x 10^6) x 0.10 = 1 x 10^5 CFU ``` That number is not a verdict. It is an input. Compare it with a published infectious dose for the agent if one exists. If no infectious dose is published, record "unknown" and control the aerosol at the source rather than assuming the dose is harmless. The absence of a number is not evidence of low risk, and the henipavirus literature makes the point directly: for recently discovered viruses, the lack of live virus isolates and corresponding in vivo animal data precludes definitive risk assessment [1]. Ingestion exposure usually comes from contaminated hands, pens, phones, and food in the laboratory. Inoculation exposure comes from sharps, broken glass, and bites or scratches. Mucous membrane exposure comes from splashes to the eyes, nose, or mouth. Environmental release comes from waste, spills, and ventilation. ### Step 4: Rate consequence with pathogen-specific data Consequence is the severity of the outcome if exposure occurs. Use anchors so that two assessors working on the same protocol produce the same number. - **1, negligible:** no known human disease, or the agent is disabled to the point that reversion is not plausible. - **2, mild:** self-limiting illness, no specific treatment needed. - **3, moderate:** illness requiring medical treatment, effective therapy available. - **4, severe:** serious illness, limited treatment options, or a high rate of complications. - **5, critical:** fatal or frequently fatal disease, no effective prophylaxis or therapy, or a risk of secondary transmission to contacts. Calibrate the middle and upper anchors with outcome data where it exists. *Enterococcus faecalis* [bloodstream infection](/knowledge/diagnostics/microbiology/bloodstream-infection-causes-and-diagnosis) is a useful calibration case because it is often described as indolent. A meta-analysis of fifteen studies covering 11,157 episodes found a crude pooled infective endocarditis prevalence of 11.8 percent, rising to 24.2 percent in studies with systematic echocardiography and an estimated plateau near 30 percent [3]. An accidental inoculation with an organism of that type is not a trivial event, and the consequence rating should reflect it. For carbapenem-resistant Gram-negative organisms, the limited therapeutic options push the consequence rating upward on the treatability axis [2]. Consequence also has a nonclinical dimension that belongs in the record: environmental impact, regulatory notification, and the effect on other users of the facility. ### Step 5: Score, band, and decide Score risk as likelihood multiplied by consequence. The matrix below is a common five-by-five format. Your institution may set different cutoffs, and the cutoffs should be written on the form so that reviewers can see them. | Likelihood / Consequence | C1 | C2 | C3 | C4 | C5 | |--|--|--|--|--|--| | L5 | 5 | 10 | 15 | 20 | 25 | | L4 | 4 | 8 | 12 | 16 | 20 | | L3 | 3 | 6 | 9 | 12 | 15 | | L2 | 2 | 4 | 6 | 8 | 10 | | L1 | 1 | 2 | 3 | 4 | 5 | A typical banding scheme is 1 to 4 low, 5 to 9 moderate, 10 to 15 high, and 16 to 25 very high. The band drives the action. - **Low:** approve with routine practice and a standard review date. - **Moderate:** approve with documented controls and supervisor sign-off. - **High:** engineering control required before approval, committee review, and a shorter review interval. - **Very high:** not approvable as designed. Redesign the experiment, reduce the scale, substitute the agent, or move to a higher containment level. ### Step 6: Select controls in the correct order Controls are selected in a fixed hierarchy. Start at the top and stop only when the residual risk is acceptable. 1. **Elimination.** Remove the step. If the experiment does not need a centrifugation step, delete it. 2. **Substitution.** Replace the agent or method. Use an attenuated strain, a nonpathogenic surrogate, or a smaller volume. 3. **Engineering.** Contain the hazard physically. Use a certified Class II biological safety cabinet for all open handling, a sealed rotor or safety cups for centrifugation, HEPA filtration for exhaust, and a validated autoclave within the facility. 4. **Administrative.** Write the procedure, train to it, restrict access, post signage, define spill response, schedule decontamination, and maintain immunization and health surveillance. 5. **Protective equipment.** Gloves, gown, eye protection, and respiratory protection. This is the last line of defense, not the first. A control is only a control if it is verified. A biological safety cabinet without a current certification date is a bench with a fan. An autoclave without validation records is a pressure vessel. Record the verification date in the register. ### Step 7: Record residual risk, sign-off, and review triggers Re-score each row after controls. The residual score is what the approver accepts. If the residual score stays in the high band, the controls are not sufficient and the design needs to change. Sign-off requires three names: the assessor, the laboratory manager or principal investigator, and the biosafety reviewer. The signature means the person has read the register, not that the experiment is safe in an absolute sense. Review triggers should be listed explicitly. - A new agent or a new strain of the same agent. - A volume increase beyond the assessed maximum. - A new unit operation, especially one that generates aerosols. - New equipment or a change in cabinet or autoclave status. - A spill, exposure, or near miss. - A change in the health status of a worker that affects susceptibility. - A change in taxonomy, risk group, or regulatory status [1]. - The scheduled review date, whichever comes first. ## A Microbiology Risk Assessment Template Example The fastest way to learn the format is to score the same operation before and after controls. The example below uses a carbapenem-resistant *A. baumannii* isolate handled at BSL-2. ```text Row UO-03 Unit operation: Vortex and pipette 10 mL of culture in an open 15 mL tube at the bench Hazard: Aerosol and droplet generation, surface contamination Route: Inhalation, mucous membrane Likelihood before controls: 3 (step repeated many times per session, aerosol generated) Consequence: 4 (serious illness, limited treatment options) Score before controls: 3 x 4 = 12, high band Controls: Move all open handling into the Class II cabinet, use aerosol-resistant pipette tips, vortex inside the cabinet, keep the tube capped between steps, place a absorbent pad under the rack Likelihood after controls: 1 (aerosol contained at source) Consequence after controls: 4 (unchanged) Residual score: 1 x 4 = 4, low band Expected output of the calculation: residual score 4, approved with standard practice ``` ```text Row UO-07 Unit operation: Centrifuge 50 mL culture at 3,000 x g for 15 minutes Hazard: Aerosol release if a tube cracks or the rotor is unbalanced Route: Inhalation Likelihood before controls: 2 (uncommon event, but consequences of a rotor failure are large) Consequence: 4 Score before controls: 2 x 4 = 8, moderate band Controls: Sealed safety cups, balanced load, capped tubes, wait 10 minutes after the run before opening the rotor, inspect cups before each run Likelihood after controls: 1 Consequence after controls: 4 Residual score: 4, low band Expected output: residual score 4, approved with the wait time written into the SOP ``` Two rows, two different control strategies. The vortex row was fixed by moving the work into a cabinet. The centrifuge row was fixed by engineering and procedure together. Neither fix changed the consequence, because the organism did not change. That is the normal pattern. Most risk reduction comes from the likelihood side. ## Separating Variability From Uncertainty A quantitative risk estimate mixes two different things. Variability is real biological heterogeneity: concentrations differ between cultures, doses differ between exposures, and susceptibility differs between people. Uncertainty is lack of knowledge: the model may be wrong, the parameter may be poorly estimated, or the fitting method may introduce error. A third source, called inferential uncertainty, comes from model fitting and computational choices [4]. The distinction has a practical consequence for a laboratory risk assessment. A predictive model with a wide prediction interval may look alarming, but the width can come from the fitting method rather than from biology. In one comparison using *Listeria monocytogenes* growth data in rice pudding and ice cream, conventional two-step fitting and one-step fitting produced nearly identical expected predictions and parameter estimates, but the two-step approach inflated [confidence intervals](/blog/data-analysis/confidence-interval-formula-examples), with inferential uncertainty exceeding 1 log CFU/g under some conditions near the growth boundary [4]. For the assessor, the lesson is to state which part of a range is variability and which is uncertainty. If a worst-case estimate is built by adding uncertainty to variability without saying so, the assessment overstates the hazard and the controls become disproportionate. If the uncertainty is ignored, the assessment understates it. Write the source of each number in the register. ## Gene Transfer and Phage Mobility as a Hazard Axis Most templates treat the agent as a fixed hazard. Mobile genetic elements make the hazard dynamic, because the relevant risk can be created by the experiment itself. Bacteriophages are the principal vehicles of transduction, the horizontal transfer mechanism that moves antimicrobial resistance genes and virulence determinants between bacterial cells. Current microbiological risk assessment frameworks handle phages asymmetrically: phage biocontrol enters quantitative models as a log-reduction term, while phage-mediated gene mobility is rarely represented explicitly [5]. The discovery of lateral transduction, which mobilizes chromosomal regions at frequencies orders of magnitude above classical generalized transduction, indicates that transfer in the systems where it has been measured is a routine feature of temperate phage life cycles rather than a rare packaging error [5]. Biofilms do the same thing by a different route. Microplastic surfaces conditioned by microbial colonization form a plastisphere, and experimental evidence shows that biofilm communities on those surfaces can increase conjugative transfer of antibiotic resistance genes by roughly 7.2-fold to 19.6-fold relative to suspended bacteria [6]. The assessment implication is direct. Add a gene transfer row whenever the experiment brings a donor strain, a recipient strain, a mobile element, or a phage together in the same vessel, animal, or biofilm system. Score the likelihood that transfer occurs and the consequence of the resulting phenotype. The consequence is not the severity of the donor organism. It is the severity of the phenotype that could be created, for example a clinically critical resistance determinant moving into a strain that already colonizes humans. Controls for gene transfer are specific and effective. - Use disabled strains that cannot survive outside the vessel, such as auxotrophs or strains with engineered kill switches. - Physically separate donor and recipient stages, with decontamination between stages. - Use closed systems and sealed containers rather than open trays and pans. - Avoid mobilizable markers that confer resistance to clinically critical antimicrobial classes. - Autoclave all liquid waste before disposal, and verify the autoclave cycle. - Sample the effluent or the surface at the end of the run to confirm that the recipient did not acquire the marker. ## Zoonotic Exposure and Environmental Release Experiments that use animal-derived material carry a zoonotic route that bench-focused templates often miss. *Chlamydia abortus* is the principal agent of ovine enzootic abortion, a major cause of infectious abortion in goats and cattle, and it is an important zoonotic agent with substantial economic impact [7]. Work with placental tissue, abortion material, or fetal fluids from ruminants should be assessed with the same rigor as a controlled human pathogen, because the exposure route is aerosol generation during handling of infected tissue and the susceptible population includes pregnant workers. Environmental release deserves its own row. Release can occur through liquid waste, solid waste, ventilation, spill runoff, and transport. Assign a consequence to release based on the agent's ability to establish in the local environment and on the regulatory reporting requirement, not only on human disease. The One Health framing is useful here because it forces the assessment to name the animal, human, and environmental compartments separately. The henipavirus literature makes the same point from the other direction: geographic range and host range shape biological risk, and the risk profile of a virus detected only in bats differs from that of a virus with documented human-to-human transmission [1]. ## Monitoring, Sampling, and What a Positive Result Means A risk assessment that does not define a monitoring plan cannot detect drift. Microbial contamination in a processing environment is influenced jointly by raw materials, equipment, water, air, personnel, the microbial community, and processing conditions, so routine monitoring and fixed-frequency sanitation may be insufficient for persistent or intermittent contamination [8]. The same logic applies to a research laboratory: a single annual swab does not characterize a room. Microbiome analysis and multi-omics approaches can improve the characterization of contamination reservoirs, and predictive models can integrate environmental, process, and microbiological data to support risk prioritization [8]. Source attribution remains constrained by sequencing biases, incomplete reference databases, contamination interference, and limited taxonomic resolution [8]. The template should therefore state four things for each monitoring activity: the sample type and location, the frequency, the threshold that triggers action, and the action itself. A positive result with no predefined action is data, not monitoring. Write the action as a sentence a technician can follow at 7 a.m. without asking a manager. ## Documentation, Version Control, and Data Handling The assessment is a record, and records have to be findable, accessible, interoperable, and reusable. The FAIR principles were introduced in 2016 to foster data reuse, and risk assessment programs have adopted them because regulatory review depends on traceable data [9]. A chemical risk assessment program developed a formal FAIR data policy using expert panel review of 37 stakeholder documents, producing a taxonomy of 57 topics under 15 broader terms, and large language models added 78 candidate terms for a combined total of 135 terms considered in the policy [9]. The topics included not only FAIR itself but also data protection, sensitive data, transparency, and data valuation [9]. For a microbiology laboratory, the practical translation is simple. - Give every assessment a stable identifier and a version number. - Store the register where the people who need it can reach it, not on one person's laptop. - Keep personnel health information in the occupational health record, not in the general risk register. - Record the date, the reviewer, and the reason for every change. - Define a retention period that matches your institution's policy and any regulatory requirement. ## Training and Competency Records A control is only as good as the person executing it. Competency should be demonstrated, not asserted. Keep a record for each person that shows the procedure they were trained on, the date of the practical check, the person who signed off, and the date of the next refresher. If you are building the background knowledge to do this well, a structured microbiology course is more efficient than reading scattered protocols. The concepts that matter most for risk assessment are agent biology, routes of transmission, aerosol behavior, disinfection kinetics, and the principles of containment. People who learn microbiology from a course with a practical component tend to write better hazard lists because they have seen how a vortex, a centrifuge, and an open tube actually behave. Training records should also capture the gaps. A person who has never performed a spill cleanup under supervision has not demonstrated spill competency, regardless of how many lectures they attended. ## Common Mistakes and Limitations **Scoring the organism instead of the procedure.** The same organism handled in a sealed system and on an open bench has two different risk scores. The register is built from unit operations, not species names. **Leaving out aerosol-generating steps.** Vortexing, opening a pressurized tube, and pouring liquid are the three most commonly missed steps in a first draft. Walk through the protocol physically, with the tube in your hand, before writing the hazard column. **Copying last year's assessment without changing the volumes.** A tenfold increase in culture volume changes the exposure estimate and sometimes the containment level. Record the maximum volume assessed and treat any increase as a review trigger. **Treating gloves and a lab coat as the control.** Protective equipment is the last layer. If the residual score depends on a glove, the engineering control is missing. **Omitting gene transfer.** A donor and recipient in the same vessel create a hazard that does not appear in the agent data sheet. Add the row explicitly [5]. **Ignoring biofilm-associated transfer.** Surfaces that support biofilm formation can amplify conjugative transfer by more than an order of magnitude compared with suspended cells [6]. **Reporting one number and losing the components.** A score of 12 could come from 3 times 4 or from 4 times 3, and the two require different controls. Always record likelihood and consequence separately. **Confusing variability with uncertainty.** A wide range does not automatically mean a high hazard. State which part of the range is biological and which part is model error [4]. **Defining monitoring without defining action.** A sampling plan with no decision rule does not reduce risk [8]. **Assuming missing data means low risk.** For recently discovered agents, the absence of animal model data and live isolates prevents definitive risk assessment [1]. Record the gap and control conservatively. **No review trigger.** An assessment with only a calendar date will be out of date the day after a method change. **No secondary transmission assessment.** A laboratory-acquired infection that spreads to a household contact is a different event from a single exposure, and it changes the consequence rating. The limitations are real. A risk assessment is a structured judgment made with the information available on the day it is written. It cannot certify that an experiment is safe, and it cannot replace the judgment of a biosafety professional or the review of an institutional committee. Individual circumstances, including the health status of a worker and the specifics of a facility, require an assessment by the people responsible for that facility. ## Frequently Asked Questions ### What is the difference between a hazard and a risk in a microbiology experiment? A hazard is the source of potential harm, such as a pathogenic organism or an aerosol-generating step. A risk is the combination of how likely that harm is and how severe it would be. ### What should a microbiology risk assessment template include? It should include the scope, agent identity and risk group, a register of unit operations, exposure routes, consequence ratings, controls in hierarchy order, residual risk, approval signatures, and explicit review triggers. ### Can I use a free microbiology risk assessment template? A free template is a reasonable starting format, but the scoring anchors and approval thresholds must be replaced with your institution's own values before the document is used for a real decision. ### How do I assign a risk group and a biosafety level? Assign the risk group from the agent's pathogenicity, transmission, treatment availability, and host range, then assign the biosafety level from the risk group plus the procedure, volume, and facility. Record the justification for both. ### How do I score likelihood and consequence? Use anchored five-point scales, score risk as likelihood multiplied by consequence, and record the two components separately so that the reviewer can see which axis drives the result. ### Do I need to assess gene transfer and phage transduction? Yes, when the experiment brings a donor, a recipient, a mobile element, or a phage together. Phage-mediated transfer is a routine feature of some temperate phage life cycles and is rarely represented explicitly in current frameworks [5]. ### How often should I review the assessment? Review on a scheduled date and on every trigger, including a new agent, a volume increase, a new unit operation, an exposure event, or a change in taxonomy or regulatory status. ### Can a microbiology course or self-study prepare me to do this? A course gives you the agent biology and containment principles you need, but competency to sign an assessment comes from supervised practice in your own facility with your own protocols. ## Sources 1. [Distribution, diversity, and biological risk of henipavirus from a One Health perspective: A mini-review.](https://pubmed.ncbi.nlm.nih.gov/42979310/) 2. [Risk factors for Gram-negative bacterial bloodstream infections: a systematic review and meta-analysis with subgroup analyses for carbapenem-resistant organisms and Acinetobacter baumannii.](https://pubmed.ncbi.nlm.nih.gov/42983247/) 3. [Enterococcus faecalis bacteraemia and infective endocarditis: a systematic review and meta-analysis.](https://pubmed.ncbi.nlm.nih.gov/42923940/) 4. [A novel statistical framework for variability and uncertainty in predictive microbiology demonstrates the impact of the fitting method in prediction uncertainty.](https://pubmed.ncbi.nlm.nih.gov/42967753/) 5. [Integrating bacteriophage-mediated gene mobility into microbiological risk assessment: A framework for food safety.](https://pubmed.ncbi.nlm.nih.gov/42977434/) 6. [Microplastics as evolving particle-chemical-microbial interfaces: plastisphere ecology, ecotoxicity, and safety-informed remediation.](https://pubmed.ncbi.nlm.nih.gov/42948733/) 7. [Host-species variation in the molecular prevalence of Chlamydia abortus in domestic ruminant abortion: A systematic review and meta-analysis.](https://pubmed.ncbi.nlm.nih.gov/42981767/) 8. [Integrating microbiome source tracking, machine learning, and precision intervention for data-driven control of microbial contamination in food processing.](https://pubmed.ncbi.nlm.nih.gov/42977414/) 9. [Developing a FAIR data policy for chemical risk assessment and exploring future topics and stakeholder interests with large language models and data sciences.](https://pubmed.ncbi.nlm.nih.gov/42923205/)