Ziv Shkedy
Biographic Data
| ID | 6456894 |
|---|---|
| NAME | Ziv Shkedy |
| GIVEN NAMES | Ziv |
| FAMILY NAME | Shkedy |
| SIGNATURE | SHKEDY Z |
| AFFILIATIONS | Hasselt University |
| ORCID | 0000-0002-6306-0823 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Modeling the positive testing rate of Covid-19 in South Africa using a semi-parametric smoother for binomial data
Identification and isolation of COVID-19 infected persons plays a significant role in the control of COVID-19 pandemic. A country's COVID-19 positive testing rate is useful in understanding and monitoring the disease transmission and spread for the planning of intervention policy. Using publicly available data collected between March 5th, 2020 and May 31st, 2021, we proposed to estimate both the positive testing rate and its daily rate of change …
A Roadmap for Building Data Science Capacity for Health Discovery and Innovation in Africa
Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, he…
Informal mhealth at scale in Africa
The extraordinary global growth of digital connectivity has generated optimism that mobile technologies can help overcome infrastructural barriers to development, with 'mobile health' (mhealth) being a key component of this. However, while 'formal' (top-down) mhealth programmes continue to face challenges of scalability and sustainability, we know relatively little about how health-workers are using their own mobile phones informally in their wor…
Informal mhealth at scale in Africa
The extraordinary global growth of digital connectivity has generated optimism that mobile technologies can help overcome infrastructural barriers to development, with 'mobile health' (mhealth) being a key component of this. However, while 'formal' (top-down) mhealth programmes continue to face challenges of scalability and sustainability, we know relatively little about how health-workers are using their own mobile phones informally in their wor…
A Roadmap for Building Data Science Capacity for Health Discovery and Innovation in Africa
Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unprecedented rate across the full spectrum of scientific inquiry spanning basic biology, clinical medicine, public health and health care systems. Leveraging these data can accelerate scientific advances, he…
Informal mhealth at scale in Africa
The extraordinary global growth of digital connectivity has generated optimism that mobile technologies can help overcome infrastructural barriers to development, with 'mobile health' (mhealth) being a key component of this. However, while 'formal' (top-down) mhealth programmes continue to face challenges of scalability and sustainability, we know relatively little about how health-workers are using their own mobile phones informally in their wor…
Modeling the positive testing rate of Covid-19 in South Africa using a semi-parametric smoother for binomial data
Identification and isolation of COVID-19 infected persons plays a significant role in the control of COVID-19 pandemic. A country's COVID-19 positive testing rate is useful in understanding and monitoring the disease transmission and spread for the planning of intervention policy. Using publicly available data collected between March 5th, 2020 and May 31st, 2021, we proposed to estimate both the positive testing rate and its daily rate of change …
Computer Science (3 works) · Medicine (3 works) · Data science (2 works) · Political science (2 works) · Public relations (2 works) · Artificial Intelligence in Healthcare (1 works) · Big data (1 works) · Biology (1 works) · Biomedical and Engineering Education (1 works) · Business (1 works)