A spiny lobster mortality or shell-lesion report becomes reliable only after the reader separates a visible sign, a suspected syndrome, a laboratory finding and a confirmed diagnosis. A dark mark on a shell is an observation. A positive laboratory result is evidence from a particular assay and sample. A claim that a pathogen caused a farm-wide mortality event requires more than either observation alone.
Begin with the actual population and timeline: species and stage, farm or enclosure, animals present at the start, new deaths, newly ill animals, missing or transferred animals, water conditions, feed and handling events, and the origin of laboratory specimens. Then connect each claim to its proper denominator. A selected sample of sick lobsters cannot silently represent the entire stock.
Quick interpretation: define cases before counting them; keep deaths, disease signs and confirmed diagnoses in separate columns; measure exposure and follow-up; verify duplicate identities; record sampling and laboratory methods; consider environmental and husbandry explanations; preserve uncertainty; and follow qualified local animal-health and reporting procedures without inventing treatments.
The World Organisation for Animal Health distinguishes field recognition from definitive diagnosis. Visible signs may help construct a list of possibilities, but appropriate sampling and validated testing are needed for confirmation. Its materials also remind readers that aquatic mortality events can have non-infectious environmental causes. A translation should preserve these safeguards, even when the original headline sounds certain.
This guide uses invented numerical teaching examples to show how to read counts, calculate rates and reject unsupported claims. It does not describe real outbreaks at the example sites and is not a diagnostic manual, drug protocol or substitute for a veterinarian or competent aquatic animal health authority. Species, local laws and validated laboratory procedures determine operational decisions.
The intended product is not a dramatic conclusion but a report that another reader can audit: who observed what, when and where; which evidence supports each status; what was absent; what had changed; and which interpretation remains open pending investigation.
Lock the clinical vocabulary
Morbidity means an animal is ill or shows a specified health condition; mortality means death. A lesion is an observed abnormality, not necessarily an infectious disease. A syndrome is a set of signs; it may have more than one cause. A suspect case and a laboratory-confirmed case must remain different statuses. In translation, avoid changing ‘associated with’ to ’caused by’, or ‘identified in samples’ to ‘infected all animals’.
Specify the species and stage
Spiny lobster is a common name covering multiple genera and species. A finding from Panulirus ornatus larvae cannot be inserted wholesale into a Panulirus cygnus adult live-holding report. Developmental stages may differ greatly in hazards, clinical appearance and sampling. The first lines of the report should therefore specify scientific name, life stage, production phase and whether animals were recently transported, handled or moulted.
Define the population at risk
The correct denominator is the population that could experience the specified event during the defined observation period. For a simple hypothetical enclosure with 120 animals at the beginning and six deaths over three days, cumulative mortality relative to the opening population is 6/120, or five percent. If animals arrived, left or died at different times, that opening-cohort fraction may be insufficient and exposure methods are needed.
Distinguish prevalence, incidence and case fatality
Point prevalence is existing cases among animals examined at a time. Cumulative incidence counts newly affected individuals during a defined follow-up among those at risk. Case fatality is deaths among cases under a specified case definition and time window. They answer different questions. A note that twelve of sixty examined animals had lesions is 20 percent observed prevalence in that examination, not a daily incidence rate or a 20 percent probability of death.
Mortality rate and time at risk
A single death percentage hides unequal observation time. If 100 animals each contribute one day, that is 100 animal-days; if one exits early, its subsequent absent days do not belong in the total. For a hypothetical four deaths over 800 animal-days, an observed event rate is 0.5 deaths per 100 animal-days. A rate is not the same as the cumulative risk in a fixed cohort, especially when repeated or competing events complicate follow-up.
Count unique events and identities
An animal may be photographed twice, examined twice or recorded under two tag numbers. Those are multiple observations, not automatically two cases. Record a stable animal ID, batch and event date, plus separate entries for repeated examinations. If identity is lost, classify uncertainty rather than inventing a perfect match. A farm-wide mortality number is invalid if the same carcass was counted at the morning collection and the afternoon disposal review.
Clinical descriptions require discipline
A shell discoloration, uropod change, unusual activity, reduced feeding or a damaged limb may be relevant, but none establishes etiology by itself. Record affected anatomical sites, severity on a defined scale, number examined, observer, image identifier and sampling time. Do not erase signs because they appear unimportant or convert an ordinal grade into an exact biological concentration. Reproducible descriptive language is the foundation of diagnosis, not the diagnosis itself.
An outbreak is also a chronology
The order of introduction, grading, handling, water-quality changes, first abnormal behaviour, first sample and deaths is crucial. A report saying ‘disease after transfer’ may reflect stress, exposure, detection effort or coincidence. Use a case timeline, not a narrative that begins only when staff recognized the problem. Record plausible incubation or development windows as hypotheses if not measured; do not back-date the start to make the explanation neat.
Sampling creates selection effects
Laboratories often receive the sickest, freshest or easiest-to-access animals. Six positives among eight selected suspect specimens are 75 percent of the tested subset, not 75 percent of an entire farm population. A representative prevalence survey needs a sampling frame, inclusion probabilities and a diagnostic interpretation appropriate to the assay. Translators must keep ‘of those tested’ immediately next to reported proportions.
A positive test needs a method and target
PCR, culture, microscopy and histopathology examine different targets and have different strengths and limitations. A positive molecular result may indicate target nucleic acid in a sample; it does not automatically establish viable pathogen, clinical causation or all-animal infection. A negative test likewise depends on sample quality, timing and sensitivity. Preserve specimen type, collection date, laboratory, assay, controls and the interpretation supplied by qualified investigators.
Pooled samples have a separate denominator
A pool may combine tissue from several lobsters, reducing individual resolution. One positive pool of five does not mean all five were positive, while a negative pool cannot be read as a direct test of every individual’s full clinical status. Report number of pools, animals per pool, target, method and any confirmatory testing. The unit tested and the unit about which the conclusion is made must not be quietly switched.
Uncertainty in observed links
An association between damaged shells and deaths does not prove lesions caused the deaths. Handling injuries, moulting complications, environmental change and opportunistic infections can overlap. Reliable analysis considers competing explanations and the timing of signs. The most accurate prose may state that mortality and lesions increased together while the underlying cause remained under investigation. Avoid presenting a single photographed animal as representative of all cases.
Environmental records belong beside health records
Dissolved oxygen, temperature, salinity, pH, ammonia, water exchange, stocking density and feeding history can clarify a mortality cluster. They should be aligned by enclosure, clock time, sensor position and quality assurance. A normal spot reading after the incident cannot rule out an earlier environmental excursion; an abnormal value does not itself prove sole causation. Cross-link records rather than relying on one explanatory adjective.
Feed and biofilm surveillance
Changes in feed storage, freshness, cleaning intervals or microbial biofilms can alter exposure pathways, but one detection of bacteria in a feed sample does not establish that feed caused disease. Studies of Panulirus ornatus larviculture have investigated bacterial communities associated with white-leg disease and environmental compartments. Such associations support surveillance hypotheses; they should not be translated into a simple universal one-pathogen mechanism.
Animal-health actions and permissions
Moving, isolating, treating or disposing of animals can have health, welfare and regulatory consequences. A report may document a response without converting it into general medical advice. Record who authorized an action, when it occurred, what group it affected and what was observed afterward. This guide intentionally avoids drug doses, speculative chemical disinfection recipes and diagnoses from images; those require competent professionals and applicable local rules.
Biosecurity is more than a disease name
A biosecurity incident ledger should trace incoming stock, water, equipment, staff movement, quarantine or separation status as locally applicable, samples, cleaning and transfer restrictions, plus contacts with the competent authority. The record must distinguish an action proposed from an action completed. A checklist item marked ‘reviewed’ is not the same as a facility being certified free of a particular hazard.
Reporting and chain of custody
If an event may meet local notification requirements, timing and content of reporting matter. Preserve who collected the sample, chain of custody, labels, condition on receipt, analysis date and laboratory conclusion. A communication that says ‘sent for testing’ must not be translated as ‘tested negative’. WOAH-listed diseases have international reporting frameworks, but jurisdiction-specific reporting duties should be checked with the relevant authority, not assumed from a generic article.
Graphing an epidemic curve carefully
A curve of new suspect cases per day needs a stable case definition, identification method and awareness of changing examination effort. A sudden rise after staff begin daily inspections may be a detection artifact. Plot deaths separately from new signs and positive lab findings; their dates may differ. Annotate transfers, interventions and missing logs. An epidemic curve is a description of recorded time patterns, not a causal proof.
Cohorts, tanks and independence
Comparing one farm tank with one control tank does not yield strong independent replication even if hundreds of lobsters occupy each. Animals share water and management; the enclosure may be the relevant experimental unit. Translators should keep ‘one tank’ and ‘many animals’ distinct. A large animal count cannot erase confounding by location, age, feed or staff practice, and a statistical result depends on the study design rather than impressive-looking sample size.
A defensible concluding diagnosis statement
When evidence is insufficient, write ’cause undetermined following preliminary assessment’, not ‘unknown virus’ or a disease label chosen for search appeal. When a competent laboratory identifies a pathogen in a particular sample, identify the assay and specimen and let the expert assessment determine its diagnostic meaning. The best report is actionable because it keeps verified observations, hypotheses, tests and management responses in separate, traceable layers.
Casebook: interpret evidence before assigning a disease label
Case 1: A mortality numerator counted twice
Staff photograph and collect two dead animals at dawn, then record the same two in an afternoon disposal sheet. An unlinked spreadsheet totals four deaths. The difference is not epidemiology but duplicate bookkeeping.
Reconcile individual identity, collection time and disposal reference. Publish two unique deaths and four record entries, if the source supports that conclusion. Keep the audit trail explaining the adjustment.
Case 2: The missing lobster
A tagged animal disappears after damage to an enclosure, with no recovered body. A later report calls it a disease death. This assumes an outcome not directly observed.
Record missing or escaped as an unresolved follow-up category, not confirmed mortality. Distinguish uncertainty about an individual’s fate from a verified death when computing disease-associated outcomes.
Case 3: Ill animals and deaths
A group has twelve lobsters with reduced activity and three deaths, two of which occur among those twelve. The three deaths cannot all be called fatalities among the documented cases.
Link deaths to case IDs. Overall mortality and case fatality require different denominators and an explicit case window. Do not infer all deceased animals showed the earlier signs.
Case 4: A photograph of shell pitting
One animal has small surface pits and another shows extensive damaged appendages. A translation declares both infected with the same bacterium because the shells look abnormal.
Use descriptive anatomy, size and severity; request qualified evaluation and relevant tests. Similar visible lesions can arise from different pathways, and visual resemblance is not a validated species-level pathogen test.
Case 5: Darkened tissue after handling
A lobster is photographed after rough grading and later displays a discoloured area. The record lacks a pre-handling image, yet the summary calls the area a pre-existing lesion.
Preserve the earliest documented observation and the handling timeline. The data cannot reliably assign onset before a photograph was taken.
Case 6: Selected specimens create bias
Eight symptomatic animals are sampled from a population of 200, and six test positive for a specified molecular target. The tested subset has 75 percent positives.
Do not write ’75 percent of the farm was infected’. The sampling targeted suspected animals and the assay detects a defined target. State six of eight selected specimens and the laboratory method.
Case 7: One positive pooled tube
Five individual specimens are combined into one assay pool, which is positive. A summary calls five animals confirmed positive.
A positive pool identifies a positive result for pooled material. Individual attribution requires additional evidence. Record pool size, constituent IDs and confirmatory steps if performed.
Case 8: A negative test after late sampling
Samples are collected only after visible signs disappear. An assay is negative, and the report states the earlier mortality event was not infectious.
A negative at one time may not resolve an earlier process. Explain sampling timing, tissue, sensitivity limitations and laboratory interpretation before drawing the conclusion.
Case 9: A date imported incorrectly
A death logged 04/05/2026 is displayed as May 4 in one system and April 5 in another. The disease curve shows an artificial one-month gap.
Confirm source locale and preserve ISO dates once validated. Chronology is not a cosmetic detail in outbreak reconstruction.
Case 10: A case definition changes
Week one counts every reduced-feeding animal as suspect. Week two requires shell lesions plus lethargy. The apparent case count falls, but surveillance criteria changed.
Annotate the case-definition revision and, where possible, reclassify historical observations consistently. Avoid claiming a biological improvement from incompatible categories.
Case 11: Examination effort expands
A tank is inspected weekly before an alarm and daily after it. Recorded lesion incidence rises, partly because opportunities to find mild signs increase.
Separate case detection from underlying incidence. Document inspection effort and differences in observation sensitivity before attributing the whole rise to a spreading disease.
Case 12: A denominator after deaths
A mortality percentage divides five deaths by the number of survivors at the end of the week. If 100 animals entered and 95 remained, 5/95 is not the opening-cohort mortality fraction.
For the simplified closed cohort, 5/100 is five percent. A dynamic population may require more complex exposure accounting, but a survivor denominator cannot be substituted without explanation.
Case 13: Two transfer groups
Twenty lobsters enter from one source on Monday and fifty from another on Thursday. Seven deaths occur by Friday, but the report assumes all seventy had the same exposure time.
Stratify by arrival date and source. Explain the observation window for each subgroup before comparing rates or blaming one shipment.
Case 14: A mortality peak after a storm
A farm has deaths after heavy rain while temperature and salinity vary. No pathogen test is yet available, but a press summary names a bacterial outbreak.
Report the environmental event, observed deaths and investigation status. A plausible hypothesis is not a confirmed pathogen identification.
Case 15: Oxygen data collected too late
DO is measured only after aeration resumes. A normal reading is used to rule out earlier oxygen limitation.
State the exact measurement time and the unobserved interval. Normal conditions during recovery do not recreate conditions during the suspected incident.
Case 16: Relative risk from one enclosure each
One cage has two deaths among twenty animals and another has four among twenty. The simple risks are 10 and 20 percent, a twofold ratio.
This arithmetic does not establish that one husbandry treatment doubled mortality: the two cages are not necessarily independent replicated treatment groups, and confounding remains possible.
Case 17: Clinical grade as a number
Shell lesion grades range from 0 to 3, but a report interprets an average grade of 2 as two square centimetres of damaged surface.
An ordinal grade has no physical area unit unless calibrated. State the scale definition and distribution of grades. Do not transform ranking categories into measured area.
Case 18: Recovered carcass and fresh cases
A decomposed carcass is collected beside several newly abnormal animals. A single condition description is copied to all specimens.
Separate the observed condition and collection time of each animal. Sample integrity and disease interpretation depend on individual evidence and post-mortem changes.
Case 19: Sample label swap
A tube marked Tank B corresponds to a chain-of-custody form listing Tank A. An editor chooses Tank B without resolution.
Flag an identity discrepancy, stop unsupported localization of the result, and request lab reconciliation. A confident geographic attribution cannot be built from conflicting identifiers.
Case 20: A test name without performance data
A laboratory sheet lists PCR positive but not specimen type, assay target, controls or interpretation. The translated article treats the test as perfect proof of active disease.
Report only the recorded result and request the method details. Sensitivity, specificity, timing and clinical context determine what conclusion a result can support.
Case 21: Positive environment, negative animals
Bacteria are detected in facility biofilm while sampled animals test negative for the same target. A report declares the whole stock diseased.
Keep environment and host results distinct. Environmental detection suggests exposure possibilities but does not establish infection or a causal route by itself.
Case 22: A disease name changes between languages
A local name for a pale appendage condition is translated as a specific infectious diagnosis, even though researchers describe an emerging syndrome with uncertain drivers.
Preserve the syndrome name and clinical description, then identify any associated organisms as associations unless diagnostic evidence supports causation. Translational precision affects disease-management decisions.
Case 23: Laboratory and clinical dates
A specimen is collected on Monday, reported positive Thursday and the case table uses Thursday as onset. The sample collection and reporting dates are different.
Keep at least onset or first-sign date, sampling date and result date in separate columns. Delayed laboratory reporting should not shift disease onset automatically.
Case 24: Cumulative and daily percentages
Ten deaths over ten days among 200 original animals are described as ‘five percent daily mortality’. The cumulative fraction is five percent across the stated period.
Do not divide by a day label that changes the meaning. A daily rate needs day-specific events and a daily population or exposure denominator.
Case 25: Case fatality time window
A syndrome cohort contains sixteen cases and four die within seven days; the observed seven-day case fatality is 25 percent. Another report uses thirty-day outcomes for comparison.
Label the follow-up interval. Case fatality is not comparable across different time windows without appropriate adjustment.
Case 26: New admissions and old cases
Five lobsters with existing lesions are transferred into a tank and then counted as five new cases arising inside the tank.
Distinguish imported prevalent cases from incident cases first detected after entry. The source and onset context determine the interpretation.
Case 27: Mortality and removal
Some weak animals are moved to recovery holding but not found dead. A production sheet subtracts them from active inventory and calls the difference mortality.
Inventory loss and confirmed death are different endpoints. Include transfer destination and later status before assigning a fatal outcome.
Case 28: Feed change and disease signs
Reduced feeding follows a new diet and an increase in visible inactivity. The same week contains water-system maintenance and a handling event.
A temporal association does not isolate a single cause. Reconstruct all major exposures and preserve a differential explanation instead of a headline that blames the feed without controls.
Case 29: Incidence per animal-day
Four first-onset cases emerge during 500 animal-days at risk. The simple incidence density is 0.8 new cases per 100 animal-days, assuming appropriate case definitions and exposure counting.
This is an observed event-rate estimate, not proof that 0.8 percent of animals become ill every day. Events per exposure-time and cumulative individual risk are different quantities.
Case 30: Misleading healthy sample
Only vigorous surviving animals can be caught easily for sampling; deceased and moribund animals are excluded. All collected specimens test negative.
Describe the selection rule. Negative findings from healthy survivors cannot independently explain unsampled deaths or demonstrate population-wide freedom from a target.
Case 31: One dead animal, multiple diagnoses
Several preliminary differentials are written beside a single dead lobster. A dashboard counts each possible disease as a separate confirmed death.
One animal remains one death. Possible causes belong in linked hypothesis fields and should not inflate mortality or confirmed case counts.
Case 32: Morbidity declining after inspections cease
Staff reduce field checks because access becomes difficult, and the recorded case count falls. The project announces a major health improvement.
Document missing surveillance. Lower detection with lower effort cannot establish lower actual disease burden without additional evidence.
Case 33: Specific clinical sign versus diagnosis
Unusual tail-fan discoloration and lethargy are recorded in a juvenile Panulirus. An automated translation inserts a pathogen species not present in the lab record.
Retain the observed signs and developmental stage. Diagnostic taxonomy requires validated evidence, not a linguistic guess based on symptoms.
Case 34: Mixed populations and pooled mortality
A report combines larval and adult holding mortality in one percentage, then compares the result to an adult-only reference.
Separate life stages and risk windows. Pooling heterogeneous cohorts can produce a percentage without a meaningful biological target.
Case 35: Anonymous report without a sample ID
A third-party message says ten percent of a region’s stock is infected, but supplies no denominator, sampling method, species or date.
Do not present the assertion as a confirmed prevalence estimate. Seek named methods, observed case counts and appropriate authority statements before publication.
Case 36: Cause versus response
A mortality spike declines after an intervention. The report states the intervention cured a specific disease, but exposure may also have ended naturally or multiple actions occurred.
Describe the chronology and observed outcomes. A causal treatment conclusion needs stronger evidence than a before-and-after comparison, and drug decisions remain with qualified professionals.
Practice problems and independently checkable answers
Practice 1: Opening-cohort mortality
A closed group starts with 80 animals and four confirmed deaths occur within seven days. Cumulative mortality is 4/80, or five percent over seven days. State the assumptions about transfers and completeness.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 2: Point prevalence of lesions
At one validated inspection, nine of sixty examined animals show a defined shell lesion. The observed point prevalence among those examined is 15 percent. It is not an incidence rate.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 3: Case-fatality fraction
Of twenty cases defined at onset, three die within a specified fourteen-day follow-up. The observed case fatality is 3/20, or fifteen percent. Clarify whether all twenty completed follow-up.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 4: Exposure-based incidence
Six new cases occur over 1,200 animal-days at risk. The event rate is 0.5 per 100 animal-days. This quantity differs from six divided by an arbitrary closing animal count.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 5: Selected test positives
Four of five deliberately selected sick animals test positive. This is 80 percent positivity in that selected sample; it is not automatically 80 percent farm prevalence.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 6: Missing follow-up
Thirty animals are enrolled; five are transferred before the final check. A survivor calculation must account for those five rather than assuming they died or survived.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 7: Duplicate event
One dead lobster appears in three observation records under the same identifier. The correct unique mortality count is one, provided records indeed refer to the same animal.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 8: One positive pool
A single positive assay pool contains four sampled animals. This is one positive pool, not four proven individually positive animals.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 9: Risk difference
Two equal-size cohorts have observed event risks of ten percent and fifteen percent. The simple risk difference is five percentage points, not a five percent relative increase.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 10: Relative comparison
If risk is twenty percent in Group B and ten percent in Group A, their unadjusted risk ratio is two. A ratio alone does not establish causation, significance or generalizability.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 11: Timeline repair
Symptoms recorded on 2 May, sample collected 3 May, result released 6 May. These are distinct events and must remain so in the report.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 12: Case definition audit
If a case count changes because the rule for ‘suspect’ changes, re-evaluate comparability before announcing an outbreak trend.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 13: Mortality versus inventory
Twenty individuals leave a cage; five are confirmed dead and fifteen are transferred. Mortality is five, not twenty. An inventory reconciliation needs separate outcome categories.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Practice 14: Surveillance completeness
A camera operates for 18 of 24 hours. Coverage is 75 percent; missing six hours create an observation limitation, not documented absence of clinical signs.
Answer audit: write the result with the exact numerator and denominator, the time horizon, the population sampled and the level of certainty. In a translated technical report, keep raw counts available beside the calculated statistic. Neither a plausible mechanism nor a laboratory name should be added unless the underlying records establish it.
Frequently asked questions
Does a shell lesion identify a bacterium?
No. A lesion is a sign. Qualified examination and appropriate laboratory investigations are needed to identify or support a cause.
Can a positive PCR result prove the pathogen killed an animal?
Not by itself. The sample target, clinical findings, controls, other causes and expert interpretation must be considered. A detectable target does not automatically prove causation.
Should I treat all animals from this article?
No. This is a reading and translation guide, not a veterinary prescription. Follow qualified animal-health advice, local law and facility protocols.
What if the cause of deaths is unknown?
Report the confirmed death count, timing, health observations, environmental evidence and investigation stage. ‘Undetermined’ can be a scientifically responsible conclusion.
What is the most important translation habit?
Keep observed sign, suspect case, laboratory finding, expert diagnosis and management response in separate fields so that no stage of evidence is exaggerated.
Primary specialist sources and relevant verified neighbors
WOAH aquatic animal diseases field guide, including field-recognition and laboratory-confirmation distinction: https://www.woah.org/en/oie-work/aquatic-animals/
Australian government AQUAVETPLAN disease preparedness manuals: https://www.agriculture.gov.au/agriculture-land/animal/aquatic/aquavetplan
2026 research on bacterial communities associated with white-leg disease in Panulirus ornatus hatcheries, FAO AGRIS: https://agris.fao.org/search/en/providers/122669/records/6a59e60464693f805964825d
Spiny lobster health and welfare literature review: https://onlinelibrary.wiley.com/doi/full/10.1111/raq.12693
eduKateSG Spiny Lobster Water Quality, Oxygen, pH and TAN: https://edukatesg.com/2026/11/01/how-to-translate-easily-spiny-lobster-oxygen-ph-salinity-ammonia-water-exchange/
eduKateSG Spiny Lobster Moulting, Shell Recovery and Growth: https://edukatesg.com/2026/11/01/how-to-translate-easily-spiny-lobster-moulting-cast-shells-soft-shell-growth-intervals/
eduKateSG Spiny Lobster Nursery Survival and Transfer Losses: https://edukatesg.com/2026/11/01/how-to-translate-easily-spiny-lobster-puerulus-transport-nursery-survival-transfer-losses/
eduKateSG How to Translate Easily index: https://edukatesg.com/how-to-translate-easily-series-index/