Healthcare system preparedness for the next pandemic beyond COVID-19 situation

Monkeypox Diagnosis in Clinical Settings: A Comprehensive Review of Best Laboratory Practices

An outbreak of monkeypox (Mpox) was reported in more than 40 countries in early 2022. Accurate diagnosis of Mpox can be challenging, but history, clinical findings, and laboratory diagnosis can establish the diagnosis. The pre-analytic phase of testing includes collecting, storing, and transporting specimens. It is advised to swab the lesion site with virus transport medium (VTM) containing Dacron or polyester flock swabs from two different sites. Blood, urine, and semen samples may also be used. Timely sampling is necessary to obtain a sufficient amount of virus or antibodies. The analytical phase of infectious disease control involves diagnostic tools to determine the presence of the virus. While polymerase chain reaction (PCR) is the gold standard for detecting Mpox, genome sequencing is for identifying new or modified viruses. As a complement to these methods, isothermal amplification methods have been designed. ELISA assays are also available for the determination of antibodies. Electron microscopy is another effective diagnostic method for tissue identification of the virus. Wastewater fingerprinting provides some of the most effective diagnostic methods for virus identification at the community level. The advantages and disadvantages of these methods are further discussed. Post-analytic phase requires proper interpretation of test results and the preparation of accurate patient reports that include relevant medical history, clinical guidelines, and recommendations for follow-up testing or treatment.

Antecedents of physicians' intentions to engage in digital volunteering work: an extended technology acceptance model (TAM) approach

Purpose

The digitalization has changed the volunteer paradigm, making young volunteers use technology in their volunteering activities. The current study sets out to identify and model the antecedents that determine intention to engage in digital health volunteering among Algerian physicians to give insights promoting the development of digital volunteering in different countries of the world.

Design/methodology/approach

To this end, the authors used a survey design to extend the technology acceptance model (TAM) with two construct (self-efficacy and perceived risk of COVID-19 infection). A convenience sample of 163 physicians; working in the private and public sectors in six provinces of Algeria was selected. The data were analyzed through a multiple linear regression.

Findings

The findings show that the perceived usefulness, ease of use, attitudes toward digital volunteering, level of self-efficacy and perceived risk of COVID-19 infection have a significant positive effect on physicians' intentions to engage in digital volunteering work in the context of health crises.

Practical implications

This study reveals that engaging in digital volunteering can be promoted during health crises as an effective strategy to provide support and assist public health institutions and emergency management.

Originality/value

To the best of the authors' knowledge, this is the first study from Africa that explores digital volunteer work, and the first study that extends the TAM to investigate digital volunteer intention among physicians.

Is single point HbA1c a reliable predictor for death in severe COVID-19?

Introduction

The severity of COVID-19 infection is affected by several risk factors such as Diabetes Mellitus (DM). The current study aimed to determine the effect of single-point HbA1c on the severity and mortality of hospitalized COVID-19 patients.

Methods

This cross-sectional study was conducted among hospitalized moderate and severe COVID-19 patients in Baharloo Hospital in Iran between December 23rd and February 23rd, 2021. The patients have been diagnosed by Polymerase Chain Reaction (PCR) and Chest Computed Tomography (CT) imaging as COVID-19. Demographic data, clinical presentation, laboratory results, and treatments along with the HbA1c data were included.

Results

165 COVID-19 cases were included in this study; 126 (76.4%) of which were severe cases. 89 (53.9%) patients were male, with a mean age of 59.89 ± 16.59 years. Severe COVID-19 patients were more prone to a longer hospital stay, and a higher level of inflammatory mediators, compared to the moderate COVID-19 patients (p < 0.05). No significant association was found between single point HbA1c, FBS, and severity and mortality of COVID-19 cases (p > 0.05).

Conclusions

Single point HbA1c was not a reliable mediator for the prediction of severity or death in hospitalized COVID-19 patients.