Disease Burden
Disease Burden - Related Videos
02:03
Assessing Bacterial Burden in the Mouse Spleen for Infection Studies
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2026
Source: Madenspacher, J. H. and Fessler, M. B. A Non-invasive and Technically Non-intensive Method for Induction and Phenotyping of Experimental Bacterial Pneumonia in Mice. J. Vis. Exp. (2016)This video demonstrates the process of quantifying bacterial load in the spleen of an infected mouse to assess the severity of infection. The homogenized spleen is serially diluted and plated to determine total bacterial burden. The resulting data provide insights into host-pathogen interactions within...
03:23
Measurement of the In Vivo Burden of Bacteria Expressing Luciferase in an Insect Larva
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2025
This video showcases the in vivo bacterial burden measurement using Bacillus Calmette-Guérin, BCG, lux-infected insect larvae. The process involves larval homogenization, treatment with a luciferase substrate, and bioluminescence measurement to determine relative light units that correlate with bacterial burden.
03:46
Malassezia-Induced Skin Inflammation and Fungal Burden Analysis in a Murine Model
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2025
This video demonstrates Malassezia-induced skin infection in mice. Malassezia oil suspension is applied over the wounded ear, triggering inflammation and swelling of the ear tissue. Later, the ears are dissected, homogenized, and spread on an agar plate for growth. The number of colonies indicates the fungal burden resulting from skin inflammation.
04:29
Monitoring Neutrophil Recruitment Dynamics and Bacterial Burden at the Infection Site in a Murine Model
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2025
This video demonstrates in vivo imaging to study the neutrophil recruitment dynamics at an infection site in an immunocompromised, transgenic mouse with GFP-expressing neutrophils. It involves injecting luminescent bacteria to cause an infection. This leads to neutrophil recruitment to the infection site, whose tracking is done by imaging.
07:59
Demystifying In Vivo Bioluminescence Imaging of a Chagas Disease Mouse Model for Drug Efficacy Studies
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2024
The protocol provided here describes the detailed steps to perform drug efficacy studies in a bioluminescent model of Trypanosoma cruzi infection, with a focus on data acquisition, analysis, and interpretation. Troubleshooting and quality control procedures to minimize technical issues are also provided.
FAQs
Disease burden estimates become more informative when several measures are considered together. Incidence and prevalence describe illness in the population, while mortality reflects deaths. Years of life lost and years lived with disability capture effects that mortality alone would miss. This combined perspective supports comparisons and helps decision-makers identify priorities for health-care planning and prevention.
DALYs provide a summary measure that incorporates both years of life lost and years lived with disability. This approach recognizes that population health is affected by premature death as well as time spent living with illness or impairment. Using DALYs can therefore present a broader picture of disease impact than mortality or disability measures considered separately.
Researchers can examine estimates across locations, age groups, and time periods to identify differences in population health. The same disease may impose different levels of impact in different settings or groups, and its burden may change over time. These comparisons help public health decision-makers identify where needs are greatest and where responses may require attention.
Each measure highlights a different dimension of health impact. Incidence and prevalence contribute information about illness in populations, mortality captures deaths, and years lived with disability reflects ongoing effects of disease or injury. Considering these measures together reduces the risk of interpreting burden through a single outcome and produces a more complete statistical assessment.
A burden analysis begins by selecting relevant measures, such as incidence, prevalence, mortality, years of life lost, and years lived with disability. Researchers then organize estimates by location, age group, or time period and may summarize them with DALYs. The resulting comparisons can show population health patterns and inform planning, priority setting, or evaluation.
These estimates are useful when health systems must plan services, set priorities, or decide how to direct limited resources. They can identify diseases or populations associated with substantial health impact and support prevention strategies. Burden measures also provide a basis for evaluating interventions by comparing population health effects across places or time periods.