Related Experiment Video
Updated: Jan 24, 2026

09:03
Handling Techniques to Reduce Stress in Mice
Published on: September 25, 2021
42.8K
Handling toxicoses of unknown origin
1National Academy of Medical Sciences, New Delhi, India.
Food Additives and Contaminants
|January 1, 1993
Summary
Investigating unknown toxic diseases requires a structured, disease-oriented approach. This strategy, proven in major outbreaks, guides from initial description to confirmed cause and public health action.
Area of Science:
- Toxicology
- Epidemiology
- Public Health
Background:
- Investigating toxicoses of unknown origin presents significant challenges.
- Previous large-scale outbreaks, including aflatoxicosis and pyrrolizidine alkaloid poisoning, highlight the need for systematic investigation strategies.
Purpose of the Study:
- To present a comprehensive strategy for investigating toxicoses of unknown origin.
- To outline a disease-oriented approach applicable to diverse toxicological outbreaks.
Main Methods:
- The strategy involves a phased investigation: descriptive (case definition, pattern recognition), hypothesis generation (pathology, environmental/epidemiological data), and hypothesis testing/confirmation.
- Case studies from India (aflatoxicosis, Crotalaria spp. poisoning) and Afghanistan (Heliotropium spp. poisoning) illustrate the methodology.
Main Results:
- Successful application of the strategy in identifying causes and patterns of major toxicological outbreaks.
- Demonstrated effectiveness in establishing causal relationships between exposure and disease.
Conclusions:
- A systematic, disease-oriented strategy is crucial for effectively investigating and managing unknown toxicological events.
- Post-confirmation, crucial steps include information dissemination, public health communication, case management, and exposure source control.
Related Concept Videos
Testing a Claim about Mean: Unknown Population SD
5.6K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
5.6K
Sample Handling
2.5K
Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
2.5K
Estimating Population Mean with Unknown Standard Deviation
8.8K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
William S. Gosset (1876–1937) of the...
8.8K
Cancers Originate from Somatic Mutations in a Single Cell
14.7K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
14.7K
Obedience
35.2K
According to obedience research, we may harm others under the forceful pressures of an authority figure (Milgram, 1974). How about if the inappropriate orders were delivered with less force? The increasing interdependence between nurses and physicians compelled Hofling and his colleagues to explore nurses’ reactions to a potentially harmful medical request made by the perceived authority figure, the doctor (Hofling, Brotzman, Dalrymple, Graves, & Pierce, 1966). In this situation,...
35.2K
Protein Families
16.7K
Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism. Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members. If these new proteins contain similar amino acids in key...
16.7K

