The correct answer is B.
There's no statically significant association between the exposure and the disease. The risk ratio does not follow the normal distribution, even it does not depend on sample size in comparison groups. The natural rr is approximately normally distributed and is used to produce confidence interval which is for the relative risk.
Answer:
* Infectious disease management depends on precise portrayal of disease progression so transmission can be forestalled. Gradually progressing infectious diseases can be hard to characterize because of a latency period between the time an individual is infected and when they show clinical signs of disease.
* Defining directions through sickness states from infection to clinical illness can assist researchers with creating control programs dependent on focusing on individual infection state, possibly decreasing both progression and creating misfortunes because of the illness.
Explanation:
Gradually progressing infectious diseases are hard to characterize in light of the fact that they are frequently connected with an inactivity period between the time an individual is infected and when they give clinical indications or side effects of illness.
To successfully control infectious diseases, it is paramount to see how the disease progresses.
Answer:
Right Atrium
Explanation:
ion really know but sounds like a
Right Atrium/Heart typo answer
Answer:
C. Because an RNA-seq reaction could tell if the fragments were encoded by the genome.
Explanation:
The combination of single-cell RNA sequencing (RNA-Seq) and bioinformatic tools to assemble and annotate sequence reads is currently the most common methodology used to obtain complete transcriptomes from individual cells. RNA-seq is a Next-Generation Sequencing (NGS) technology that enables the analysis of the entire transcriptome, thereby this method can be used to examine gene, allelic and ncRNA expression. In the last years, RNA-seq has become the gold standard technique for direct analysis of ncRNA expression profiles in biological samples and clinical research.
