Psychosocial health effects of Covid-19 infection on persons in treatment centers in Lagos, Nigeria

Introduction

Prior research has highlighted the psychosocial impact of infectious diseases on individuals and the community at large. However, little is known about the psychosocial implications of COVID-19. This study set out to determine the rate as well as correlates of anxiety and depressive symptoms among persons managed as in-patients for COVID-19 in Lagos, Nigeria.

Materials and methods

We conducted an online survey between April to June ending 2020 using a consecutive sampling technique of persons positive for COVID-19 and who were managed as in-patients across five (5) treatment centres in Lagos, Nigeria. The survey collected information on demographic as well as clinical data including suicidality. Anxiety and depressive symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS).

Results

There were one hundred and sixty participants in total. The mean age of respondents was 36.4 (±9.7) years with a higher proportion (56.9%) being males. With regards to diagnosis, 28.1% and 27.5% of the respondents were categorised as probable cases of depression and anxiety respectively, while 3.8% respondents reported suicidal ideation. Majority of the respondents (61.9%) reported the fear of infecting their loved ones. The variables that showed association with psychiatric morbidity were a past history of an emotional concern, employment status, guilt about infecting others and boredom.

Conclusion

This study revealed a high burden of psychological/psychiatric morbidity among persons treated for COVID-19, particularly persons who have had prior emotional concerns. The findings from this study reiterate the need to pay attention to the mental health of people during disease outbreaks and to incorporate psychosocial interventions as part of the management package.

Multichannel fiber Bragg grating for temperature field monitoring

We demonstrate a multichannel fiber Bragg grating (MC-FBG) based distributed temperature field sensor with millimeter-order spatial resolution. The MC-FBG was designed by using the layer peeling (LP) algorithm with a tailored group delay characteristic and fabricated using seamless UV-inscription. We have achieved a 21-channel MC-FBG with 0.2 nm bandwidth of each channel and 0.5 nm channel gap. The sensor was tested by using a temperature field distribution. Experimental results show that the sensor had a spatial resolution of 3 mm and could measure a maximum temperature gradient of 7.85 °C/mm.