What is MRSA? How do we detect MRSA in the microbiology laboratory? How is MRSA transmitted? Should students with MRSA skin infections be excluded from attending school?
MRSA - Methicillin-resistant Staphylococcus aureus is a bacteria called super bug, because of it resistant to many common antibiotics as its very tough to treat. it can cause infection in different part of the body.
it refers to a group of gram-positive bacteria that are genetically distinct from other strain of Staphylococcus aureus.
laboratory testing of MRSA
in addition to broth microdilution testing, the clinical and laboratory standards institute(CLSI), recommends the cefoxitin disk diffusion test or a plate containing 6 microgram/ ml of oxacillin in Mueller Hinton agar supplemented with 4percentage NaCl as alternative methods of testing MRSA.
A student with MRSA skin infection should be excluded from attending school because it is very contagious and can spread through direct and indirect contact, and very difficult to treat.
What is MRSA? How do we detect MRSA in the microbiology laboratory? How is MRSA transmitted?...
12. What is heteroskedasticity, and what are the consequences of it? How do we detect heteroskedasticity?
13. How do we detect if the residuals are heteroskedastic? If they are, how can we resolve the problem?
A clinical microbiology laboratory compared the frequency of isolation of DNA hybridization probe to a culture method for the sexually transmitted bacterium Neisseria gonorrhaeae. The frequency of isolation from clinical specimens was historically 10%. The lab ran 100 split samples, and the results are presented in the table below. Table. Comparison of the Distribution of Negative and Positive Results for the DNA Probe and Culture Methods. Culture Results DNA Probe Results Positive Negative Positive 9 2 Negative 1 88 What...
Microbiology: What are prions and how do they cause diseases? Explain.
A clinical microbiology laboratory compared the frequency of isolation of DNA hybridization probe to a culture method for the sexually transmitted bacterium Neisseria gonorrhaeae. The frequency of isolation from clinical specimens was historically 10%. The lab ran 100 split samples, and the results are presented in the table below. Table. Comparison of the Distribution of Negative and Positive Results for the DNA Probe and Culture Methods. Culture Results DNA Probe Results Positive Negative Positive 9 2 Negative 1 88 What...
A clinical microbiology laboratory compared the frequency of isolation of DNA hybridization probe to a culture method for the sexually transmitted bacterium Neisseria gonorrhaeae. The frequency of isolation from clinical specimens was historically 10%. The lab ran 100 split samples, and the results are presented in the table below. Table. Comparison of the Distribution of Negative and Positive Results for the DNA Probe and Culture Methods. Culture Results DNA Probe Results Positive (D) Negative (D-) Positive (T) 8 4 Negative...
Microbiology: Where are/aren’t normal flora found in the body? (male vs. female) How do we acquire them? (birth and afterward Why might the populations fluctuate? (naturally, antibiotics)
How do I share that I am sorry for telling the truth, however, as a school we should learn as well as grow from staff telling the truth. This is what helps the school as well as students, and we need to be transparent.
5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context of the classical linear regression model. How can we detect the presence of heteroskedasticity? Be specific. Should anything be done about heteroskedasticity if it is detected? If so, what should be done? Be specific. If not, why not? 5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context...
5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context of the classical linear regression model. How can we detect the presence of heteroskedasticity? Be specific. Should anything be done about heteroskedasticity if it is detected? If so, what should be done? Be specific. If not, why not? 5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context...