Mortality Tracking
Mortality Tracking - Related Videos
03:57
Assessing Pathogenic Bacteria–Induced Mortality in C. elegans Larvae
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2025
Source: Anderson, Q. L., et al. A High-throughput, High-content, Liquid-based C. elegans Pathosystem. J. Vis. Exp. (2018)The video demonstrates a liquid-based assay where genetically modified C. elegans larvae are exposed to pathogenic bacteria in a microplate. Bacterial toxins secreted into the medium induce host stress and death. A fluorescent dye stains dead worms, allowing imaging-based quantification of mortality to assess genetic susceptibility or resistance.
07:03
Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
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Cited by 5 •
2016
Here we present a protocol for assessing seed survivorship, germination and dormancy under field conditions using buried, labeled seed strips and tetrazolium chloride (TZ) viability testing.
03:56
Mosquito Feeding Assay: A Method to Evaluate Test Compound Effects on Mortality and Fecundity of Adult Female Mosquitoes
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2025
This video demonstrates a blood-feeding assay to evaluate the mortality and fecundity of test compounds with novel modes of action on female mosquitoes. This technique helps in screening new classes of insecticides to kill the resistant population of mosquitoes and control disease spread.
05:55
Multiple Object Tracking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In a staggeringly complex and engaging world, it is crucial to selectively process some stimuli at the expense of others. Experimental psychologists call this ability attention. Specifically, visual attention refers to the ability to selectively process aspects of a visual scene. Many paradigms used to study visual attention involve brief, punctuated, and repeated trials. However, everyday situations often place sustained demands...
06:19
Eye Tracking in Cognitive Experiments
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2023
Eye tracking as the name suggests involves tracking of eye-movements. It is a non-invasive, sensitive tool that quantifies and measures eye-movements to describe an individuals' cognitive state. An eye-movement between two fixation points is called a saccade, which is one of the fastest motor movements in our body. By observing the profiles of these eye movements, scientists can better understand neural deficits in patients with cognitive impairments. In this video, we will first look at an...
FAQs
These measures use different denominators and answer different questions. A mortality rate relates deaths to a defined population over a specified period, indicating population-level risk. A case-fatality ratio relates deaths to identified cases of a disease, indicating how severe the disease is among affected people. Keeping these denominators separate prevents misleading comparisons.
Standardized case definitions determine which illnesses and deaths are counted as belonging to a disease group. Consistent criteria make estimates comparable across time, populations, or investigations, whereas changing the criteria can alter the apparent number of cases and deaths without any real change in pathogen severity. This is especially important when attributing deaths to infections or complications.
Population denominators and time periods establish the context for interpreting death counts. The same number of deaths can represent different levels of risk in populations of different size, and totals from different observation periods are not directly equivalent. Mortality Tracking therefore requires clearly defined populations and intervals before researchers compare disease burden or outcomes.
Combining death records with laboratory and clinical data strengthens interpretation of an observed death. Laboratory information can support infection identification, clinical data can describe disease or complications, and death records document the outcome. Together, these sources help researchers connect an infection with fatal outcomes rather than relying on a single record type.
Comparing mortality outcomes across groups or periods can reveal whether immune protection or treatment is associated with fewer deaths. The interpretation depends on consistent case definitions, comparable population measures, and reliable outcome records. In infection research, these analyses help assess pathogen severity and judge whether interventions improve survival, rather than merely increasing the number of diagnosed cases.
During outbreaks, timely mortality information supports surveillance and public health planning by showing where infection-related deaths are occurring and how outcomes change over time. The same evidence can identify disparities between populations and guide interventions intended to reduce deaths. It also provides a population-level outcome measure for evaluating the broader impact of infectious disease control.