Biomedical research, a tool to address the health issues that affect African populations
Bibliographic Data
| ID | 19533758 |
|---|---|
| Authors | Liang Zhou (0000-0003-4374-2242, Donghua University), Emmanuel Peprah (0000-0002-0495-7016), Ambroise Wonkam (0000-0003-1420-9051), Yu Sun (0009-0003-0107-823X, Donghua University), Jianguo Zheng (0000-0002-7954-2819, Donghua University) |
| Year | 2013 |
| Volume | 9 |
| Issue | 1 |
| Pages | 50 |
| Publication date | 2013-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Globalization and Health (JOURNAL) |
| Journal identifiers | ISSN: 1744-8603 • E-ISSN: 1744-8603 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1186/1744-8603-9-50 |
| PMID | 24143865 |
| PMCID | PMC4015770 |
| OpenAlex | W24143865 |
| Language | EN |
| Citations received | 3 |
| References cited | 70 |
Traditionally, biomedical research endeavors in low to middle resources countries have focused on communicable diseases. However, data collected over the past 20 years by the World Health Organization (WHO) show a significant increase in the number of people suffering from non-communicable diseases (e.g. heart disease, diabetes, cancer and pulmonary diseases). Within the coming years, WHO predicts significant decreases in communicable diseases while non-communicable diseases are expected to double in low and middle income countries in sub-Saharan Africa. The predicted increase in the non-communicable diseases population could be economically burdensome for the basic healthcare infrastructure of countries that lack resources to address this emerging disease burden. Biomedical research could stimulate development of healthcare and biomedical infrastructure. If this development is sustainable, it provides an opportunity to alleviate the burden of both communicable and non-communicable diseases through diagnosis, prevention and treatment. In this paper, we discuss how research using biomedical technology, especially genomics, has produced data that enhances the understanding and treatment of both communicable and non-communicable diseases in sub-Saharan Africa. We further discuss how scientific development can provide opportunities to pursue research areas responsive to the African populations. We limit our discussion to biomedical research in the areas of genomics due to its substantial impact on the scientific community in recent years however, we also recognize that targeted investments in other scientific disciplines could also foster further development in African countries
Artificial neural network · Binary image · Computer vision · Edge detection · Enhanced Data Rates for GSM Evolution · Image processing · Image segmentation · Segmentation · Advanced Chemical Sensor Technologies · Computer Science · Image Processing Techniques and Applications · Spectroscopy and Chemometric Analyses · Artificial Intelligence
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2014 - 2021 (8) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |