Pathogen detection and characterization from throat swabs using unbiased metatranscriptomic analyses

OBJECTIVES

Infectious diseases are common but are not easily or readily diagnosed with current methodologies. This problem is further exacerbated by the constant presence of mutated, emerging, and novel pathogens. One of the most common sites of infection by many pathogens is the human throat. However, there is no universal diagnostic test that can distinguish these pathogens. Metatranscriptomic (MT) analysis of the throat represents an important and novel development in infectious disease detection and characterization, because it is able to identify all pathogens using a fully unbiased approach.

METHODS

To test the utility of an MT approach to pathogen detection, throat samples were collected from participants before, during, and after an acute sickness.

RESULTS

Clear sickness-associated shifts in pathogenic microorganisms were detected in the patients. Important insights into microbial functions and antimicrobial resistance genes were obtained.

CONCLUSION

MT analysis of the throat represents an effective method for the unbiased identification and characterization of pathogens. Because MT data include all microorganisms in the sample, this approach should not only allow the identification of pathogens, but provide an understanding of the effects of the resident throat microbiome in the context of human health and disease.

Parents' preferences for nursery care when children are unwell: a discrete choice experiment

BACKGROUND

Pre-school children's daycare is associated with increased incidence of respiratory and diarrhoeal illnesses. While the incidence might be reduced if all unwell children were kept at home, parental employment pressures make this difficult when children are marginally unwell.

METHODS

A discrete choice experiment (DCE) was conducted to identify what aspects of daycare policy and provision would affect parents' decisions to keep marginally unwell children home. Prior qualitative research informed parameter choice. The DCE was accompanied by a best-worst scaling task examining preferences for four modifiable aspects of care: swapping unused daycare sessions, reimbursing unused sessions, daycare paracetamol policy and presence of a 'quiet room'.

RESULTS

Paracetamol guidelines and the presence of a quiet room had the strongest predicted influence on parents' decision-making. Conditional on assumptions about the set-up of the daycare, introducing a 'no paracetamol' policy would result in a fall from 62 to 25% in mean predicted probabilities of a parent sending a marginally unwell child to nursery, while introducing a quiet room would increase the mean probability from 34 to 53%.

CONCLUSIONS

Daycare policy, particularly the use of paracetamol prior to attendance, could impact parents' decisions to send unwell children to daycare, potentially influencing the transmission of children's infectious illness.