COVID-19 has now spread to all the continents of the world with the possible exception of Antarctica. However, Africa appears different when compared with all the other continents.
The absence of exponential growth and the low mortality rates contrary to that experienced in other continents, and contrary to the projections for Africa by various agencies, including the World Health Organization (WHO) has been a puzzle to many. Although Africa is the second most populous continent with an estimated 17.2% of the world's population, the continent accounts for only 5% of the total cases and 3% of the mortality. Mortality for the whole of Africa remains at a reported 19,726 as at August 01, 2020.
The onset of the pandemic was later, the rate of rise has been slower and the severity of illness and case fatality rates have been lower in comparison to other continents. In addition, contrary to what had been documented in other continents, the occurrence of the renal complications in these patients also appeared to be much lower.
This report documents the striking differences between the continents and within the continent of Africa itself and then attempts to explain the reasons for these differences.
It is hoped that information presented in this review will help policymakers in the fight to contain the pandemic, particularly within Africa with its resource-constrained health care systems.
Today's digital health revolution aims to improve the efficiency of healthcare delivery and make care more personalized and timely. Sources of data for digital health tools include multiple modalities such as electronic medical records (EMR), radiology images, and genetic repositories, to name a few. While historically, these data were utilized in silos, new machine learning (ML) and deep learning (DL) technologies enable the integration of these data sources to produce multi-modal insights. Data fusion, which integrates data from multiple modalities using ML and DL techniques, has been of growing interest in its application to medicine. In this paper, we review the state-of-the-art research that focuses on how the latest techniques in data fusion are providing scientific and clinical insights specific to the field of cardiovascular medicine. With these new data fusion capabilities, clinicians and researchers alike will advance the diagnosis and treatment of cardiovascular diseases (CVD) to deliver more timely, accurate, and precise patient care.
Background: Cancer incidence and mortality is increasing worldwide. In 2018, there were an estimated 18.1 million new cancer cases and 9.6 million cancer deaths. In Nigeria, it is estimated that 100,000 new cases occur annually, with a high case fatality ratio. The burden of cancer in Nigeria is significant, as the country still grapples with infectious diseases and has limited data on cancer epidemiology. Our study is descriptive using data from a hospital-based registry. Objectives: This retrospective study assesses the characteristics of patients that presented to a private cancer center in Lagos, Nigeria. We aimed to update knowledge on the current trends of cancer in Nigeria as exemplified by the experience of this cancer center and set a foundation for guiding future research and policy efforts in cancer screening, prevention, and control. Methods: The records of all the 548 oncology patients registered at the Lakeshore Cancer Center (LCC) cancer registry from January 2015 to June 2018 were reviewed for this study. Results: Most common cancer types were breast cancer for females (46%) and prostate cancer for males (32%). 92% of the tumors were malignant and 97% of the patients were symptomatic. Among patients diagnosed with cancer, 49% were ≤ 50 years old, 90% paid for their healthcare out of pocket, and 67% did not complete treatment.Conclusions: This study highlights the state of cancer care in Nigeria and should guide future research, with a focus on public awareness, screening programs and implementation of novel cancer control policies and infrastructure that supports early detection.
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