Time trends in infectious and chronic disease consultations in Dakar, Senegal: Impact of COVID-19 sanitary measures.

Background: The impact of COVID-19 sanitary measures on the time trends in infectious and chronic disease consultations in Sub-Saharan Africa remains unknown. Methods: We conducted a cohort study on all emergency medical consultations from January 2016 to July 2020, from SOS Medecins in Dakar, Senegal. The consultation records provided basic demographic information such as age, ethnicity (Senegalese or Caucasian), and sex as well as the principal diagnosis using an ICD-10 classification ("infectious", "chronic", and "other"). We first investigated how the pattern in emergency consultation differed from March to July 2020 compared to previous years. Then, we examined any potential racial/ethnic disparities in COVID-19 consultation. Results: We obtained data on emergency medical consultations from 53 583 patients of all ethnic origins. The mean age of patients was 37.0 (standard deviation (SD) = 25.2) and 30.3 (SD = 21.7) in 2016-2019 and 45.5 (SD = 24.7) and 39.5 (SD = 23.3) in 2020 for Senegalese and Caucasian patients, respectively. The type of consultations between January and July were similar from 2016 to 2019; however, in 2020, there was a drop in the number of infectious disease consultations, particularly from April to May 2020, when sanitary measures for COVID-19 were applied (average of 366.5 and 358.2 in 2016-1019 and 133.0 and 125.0 in 2020). The prevalence of chronic conditions remained steady during the same period (average of 381.0 and 394.7 in 2016-2019 and 373.0 and 367.0 in 2020). In a multivariate analysis adjusted for age and sex, infectious disease consultations were significantly more likely to occur in 2016-2019 compared to 2020 (2016 odds ratio (OR) = 2.39, 2017 OR = 2.74, 2018 OR = 2.39, 2019 OR = 2.01). Furthermore, the trend in the number of infectious and chronic consultations was similar among Senegalese and Caucasian groups, indicating no disparities among those seeking treatment. Conclusions: During the implementation of COVID-19 sanitary measures, infectious disease rates dropped as chronic disease rates remained stagnant in Dakar. We observed no racial/ethnic disparities among the infectious and chronic consultations.

Explaining Ethnic Differentials in COVID-19 Mortality: A Cohort Study.

Ethnic inequalities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality have been widely reported, but there is scant understanding of how they are embodied. The UK Biobank prospective cohort study comprises approximately half a million people who were aged 40-69 years at study induction, between 2006 and 2010, when information on ethnic background and potential explanatory factors was captured. Study members were prospectively linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 705 deaths were ascribed to COVID-19 between March 5, 2020, and January 24, 2021. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced approximately 5 times the risk of COVID-19 mortality (odds ratio (OR) = 4.81, 95% confidence interval (CI): 3.28, 7.05), while there was a doubling in the South Asian group (OR = 2.05, 95% CI: 1.30, 3.25). Controlling for baseline comorbidities, social factors (including socioeconomic circumstances), and lifestyle indices attenuated this risk differential by 34% in Black study members (OR = 2.84, 95% CI: 1.91, 4.23) and 37% in South Asian individuals (OR = 1.57, 95% CI: 0.97, 2.55). The residual risk of COVID-19 deaths in ethnic minority groups may be ascribed to a range of unmeasured characteristics and requires further exploration.

Ethnic disparities in hospitalisation for COVID-19 in England: The role of socioeconomic factors, mental health, and inflammatory and pro-inflammatory factors in a community-based cohort study.

BACKGROUND: Differentials in COVID-19 hospitalisations and mortality according to ethnicity have been reported but their origin is uncertain. We examined the role of socioeconomic, mental health, and pro-inflammatory factors in a community-based sample. METHODS: We used data on 340,966 men and women (mean age 56.2 years) from the UK Biobank study, a prospective cohort study with linkage to hospitalisation for COVID-19. Logistic regression models were used to estimate associations between ethnicity and hospitalisation for COVID-19. RESULTS: There were 640 COVID-19 cases (571/324,306 White, 31/4,485 Black, 21/5,732 Asian, 17/5,803 Other). Compared to the White study members and after adjusting for age and sex, Black individuals had over a 4-fold increased risk of COVID-19 infection (odds ratio; 95% confidence interval: 4.32; 3.00-6.23), and there was a doubling of risk in the Asian group (2.12; 1.37, 3.28) and the 'other' non-white group (1.84; 1.13, 2.99). After controlling for potential explanatory factors which included neighbourhood deprivation, household crowding, smoking, body size, inflammation, glycated haemoglobin, and mental illness, these effect estimates were attenuated by 33% for Blacks, 52% for Asians and 43% for Other, but remained raised for Blacks (2.66; 1.82, 3.91), Asian (1.43; 0.91, 2.26) and other non-white groups (1.41; 0.87, 2.31). CONCLUSIONS: There were clear ethnic differences in risk of COVID-19 hospitalisation and these do not appear to be fully explained by measured factors. If replicated, our results have implications for health policy, including the targeting of prevention advice and vaccination coverage.