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  1. Article ; Online: The Role of Artificial Intelligence and Machine Learning Amid the COVID-19 Pandemic: What Lessons Are We Learning on 4IR and the Sustainable Development Goals.

    Mhlanga, David

    International journal of environmental research and public health

    2022  Volume 19, Issue 3

    Abstract: The COVID-19 pandemic came with disruptions in every aspect of human existence, with all the sectors of the economies of the world affected greatly. In the health sector, the pandemic halted and reversed progress in health and subsequently shortened life ...

    Abstract The COVID-19 pandemic came with disruptions in every aspect of human existence, with all the sectors of the economies of the world affected greatly. In the health sector, the pandemic halted and reversed progress in health and subsequently shortened life expectancy, especially in developing and underdeveloped nations. On the other hand, machine learning and artificial intelligence contributed a great deal to the handling of the pandemic globally. Therefore, the current study aimed to assess the role played by artificial intelligence and machine learning in addressing the dangers posed by the COVID-19 pandemic, as well as extrapolate the lessons on the fourth industrial revolution and sustainable development goals. Using qualitative content analysis, the results indicated that artificial intelligence and machine learning played an important role in the response to the challenges posed by the COVID-19 pandemic. Artificial intelligence, machine learning, and various digital communication tools through telehealth performed meaningful roles in scaling customer communications, provided a platform for understanding how COVID-19 spreads, and sped up research and treatment of COVID-19, among other notable achievements. The lessons we draw from this is that, despite the disruptions and the rise in the number of unintended consequences of technology in the fourth industrial revolution, the role played by artificial intelligence and machine learning motivates us to conclude that governments must build trust in these technologies, to address health problems going forward, to ensure that the sustainable development goals related to good health and wellbeing are achieved.
    MeSH term(s) Artificial Intelligence ; COVID-19 ; Humans ; Machine Learning ; Pandemics/prevention & control ; SARS-CoV-2 ; Sustainable Development
    Language English
    Publishing date 2022-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph19031879
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A Dynamic Analysis of the Demand for Health Care in Post-Apartheid South Africa.

    Mhlanga, David

    Nursing reports (Pavia, Italy)

    2021  Volume 11, Issue 2, Page(s) 484–494

    Abstract: The study aimed to investigate the drivers of demand for healthcare in South Africa 26 years after democracy. The pattern healthcare demand by households in South Africa is that most households use public healthcare services particularly public clinics ... ...

    Abstract The study aimed to investigate the drivers of demand for healthcare in South Africa 26 years after democracy. The pattern healthcare demand by households in South Africa is that most households use public healthcare services particularly public clinics compared to private and traditional healthcare facilities. Using conditional probability models, the logit model to be more specific, the results revealed that households head who is unemployed, households who do not have a business, households who were not receiving pension money, had a greater probability of demand for public healthcare institutions. On the other hand, being male, being White, Indian and Coloured, being a property owner and being not a grant beneficiary, reduces the probability of demand for public healthcare facilities in South Africa. As a result, the study recommends more investment in public healthcare but more in public clinics in South Africa due to the high percentage of households using these services. Also, the government must consider investing more in the maintenance and improvement of the welfare of nurses in the country considering the huge role they play in the delivery of healthcare to the citizens.
    Language English
    Publishing date 2021-06-17
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2039-4403
    ISSN (online) 2039-4403
    DOI 10.3390/nursrep11020045
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Influence of Racial Differences in the Demand for Healthcare in South Africa: A Case of Public Healthcare.

    Mhlanga, David / Garidzirai, Rufaro

    International journal of environmental research and public health

    2020  Volume 17, Issue 14

    Abstract: The study sought to analyse the influence of racial differences in the demand for public healthcare in South Africa, using the 2018 General Household Survey (GHS) data. This was completed to understand if race still plays a role in access to healthcare ... ...

    Abstract The study sought to analyse the influence of racial differences in the demand for public healthcare in South Africa, using the 2018 General Household Survey (GHS) data. This was completed to understand if race still plays a role in access to healthcare in post-apartheid South Africa. Logistic regression analysis revealed that race significantly explained the variance in demand for public healthcare, with White populations having the lowest probability of demand for public healthcare compared to other races. Consequently, the study noted that racial differences still play a critical role in affording one access to healthcare after assessing the situation obtaining in public healthcare. Therefore, the study recommends that the government of South Africa should create policies that encourage equal access to basic services in addressing racial inequality in the country.
    MeSH term(s) Continental Population Groups ; European Continental Ancestry Group ; Female ; Health Services Accessibility ; Health Services Needs and Demand ; Healthcare Disparities ; Humans ; Male ; Socioeconomic Factors ; South Africa
    Language English
    Publishing date 2020-07-14
    Publishing country Switzerland
    Document type Journal Article
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph17145043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: COVID-19 and the Digital Transformation of Education: What Are We Learning on 4IR in South Africa?

    Mhlanga, David / Moloi, Tankiso

    Education Sciences

    Abstract: The study sought to assess the influence of the COVID-19 pandemic in motivating digital transformation in the education sector in South Africa The study was premised on the fact that learning in South Africa and the rest of the world came to a standstill ...

    Abstract The study sought to assess the influence of the COVID-19 pandemic in motivating digital transformation in the education sector in South Africa The study was premised on the fact that learning in South Africa and the rest of the world came to a standstill due to the lockdown necessitated by COVID-19 To assess the impact, the study tracked the rate at which the Fourth Industrial Revolution (4IR) tools were used by various institutions during the COVID-19 lockdown Data were obtained from secondary sources The findings are that, in South Africa, during the lockdown, a variety of 4IR tools were unleashed from primary education to higher and tertiary education where educational activities switched to remote (online) learning These observations reflect that South Africa generally has some pockets of excellence to drive the education sector into the 4IR, which has the potential to increase access Access to education, particularly at a higher education level, has always been a challenge due to a limited number of spaces available Much as this pandemic has brought with it massive human suffering across the globe, it has presented an opportunity to assess successes and failures of deployed technologies, costs associated with them, and scaling these technologies to improve access
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #651249
    Database COVID19

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