{UAH} PhD dissertation by Peter-Rhaina Gwokto - excerpt
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PhD dissertation by Peter-Rhaina Gwokto, a proud Kagutastani
The Roles of Biostatistics and Digital Epidemiology in Facilitating the Convergence of Ethnomedicine and Modern Medicine in Africa
ABSTRACT
Digital epidemiology is an emerging field that combines the use of healthcare data, digital tools, and epidemiological methods to study public health and population trends. As Africa transitions towards a more urbanized and digitalized landscape, digital epidemiology has the potential to facilitate convergences and linkages between traditional health practices and modern healthcare solutions. By leveraging data, digital epidemiology can facilitate the medicalization of traditional health care practices, create novel intervention models, and improve the understanding of health outcomes and disease patterns.
Biostatistics plays a crucial role in the analysis of healthcare data and hence digital epidemiology. Biostatistics has been used in understanding the correlation between various determinants of health and identifying patterns such as risk factors, age and gender distribution of diseases, and prevalence of chronic illnesses. Furthermore, biostatistics has been integral in analyzing data on traditional medicines and traditional healing methods. This has provided insight into the effectiveness of traditional treatments and helped to inform the development of culturally and contextually appropriate interventions.
Digital epidemiology also has the potential to link traditional and modern forms of healthcare. For example, it can be used to identify opportunities for integration, collaborations and novel, evidence-based interventions. Digital epidemiology can also be used to generate evidence from diverse sources, ranging from traditional herbalists to health workers, by applying digital ethnography and other data collection methods. This evidence can be incorporated into healthcare decision support systems, enabling the integration of traditional and modern medicine.
Overall, digital epidemiology has the potential to facilitate the linkages between ethnomedicine and modern medicine and bridge the health inequalities present in Africa. By leveraging primary, secondary and qualitative healthcare data, and using biostatistical methods, digital epidemiology has the potential to produce evidence-based, comprehensive and contextualized healthcare solutions that draw on the knowledge and wisdom of both traditional and modern healing techniques.
TABLE OF CONTENTS
1. Introduction
2. A Definition of Ethnomedicine and Modern Medicine
3. The Use of Biostatistics in Exploring Health Outcomes
4. Role of Digital Epidemiology in Evaluating Different Treatments
5. Ethnomedicine and Modern Medicine: Connecting the Two
6. Potential Benefits of Convergence of Ethnomedicine and Modern Medicine
7. Role of Biostatistics and Digital Epidemiology in Convergence
8. Conclusion
9. References
COMING SOON....
The Roles of Biostatistics and Digital Epidemiology in Facilitating the Convergence of Ethnomedicine and Modern Medicine in Africa
ABSTRACT
Digital epidemiology is an emerging field that combines the use of healthcare data, digital tools, and epidemiological methods to study public health and population trends. As Africa transitions towards a more urbanized and digitalized landscape, digital epidemiology has the potential to facilitate convergences and linkages between traditional health practices and modern healthcare solutions. By leveraging data, digital epidemiology can facilitate the medicalization of traditional health care practices, create novel intervention models, and improve the understanding of health outcomes and disease patterns.
Biostatistics plays a crucial role in the analysis of healthcare data and hence digital epidemiology. Biostatistics has been used in understanding the correlation between various determinants of health and identifying patterns such as risk factors, age and gender distribution of diseases, and prevalence of chronic illnesses. Furthermore, biostatistics has been integral in analyzing data on traditional medicines and traditional healing methods. This has provided insight into the effectiveness of traditional treatments and helped to inform the development of culturally and contextually appropriate interventions.
Digital epidemiology also has the potential to link traditional and modern forms of healthcare. For example, it can be used to identify opportunities for integration, collaborations and novel, evidence-based interventions. Digital epidemiology can also be used to generate evidence from diverse sources, ranging from traditional herbalists to health workers, by applying digital ethnography and other data collection methods. This evidence can be incorporated into healthcare decision support systems, enabling the integration of traditional and modern medicine.
Overall, digital epidemiology has the potential to facilitate the linkages between ethnomedicine and modern medicine and bridge the health inequalities present in Africa. By leveraging primary, secondary and qualitative healthcare data, and using biostatistical methods, digital epidemiology has the potential to produce evidence-based, comprehensive and contextualized healthcare solutions that draw on the knowledge and wisdom of both traditional and modern healing techniques.
TABLE OF CONTENTS
1. Introduction
2. A Definition of Ethnomedicine and Modern Medicine
3. The Use of Biostatistics in Exploring Health Outcomes
4. Role of Digital Epidemiology in Evaluating Different Treatments
5. Ethnomedicine and Modern Medicine: Connecting the Two
6. Potential Benefits of Convergence of Ethnomedicine and Modern Medicine
7. Role of Biostatistics and Digital Epidemiology in Convergence
8. Conclusion
9. References
COMING SOON....
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