Background and aims With no approved vaccines for treating COVID-19 as of August 2020, many health systems and governments rely on contact tracing as one of the prevention and containment methods. However, there have been instances when the infected person forgets his/her contact-persons and does not have their contact details. Therefore, this study aimed at analyzing possible opportunities and challenges of integrating emerging technologies into COVID-19 contact tracing. Methods The study applied literature search from Google Scholar, Science Direct, PubMed, Web of Science, IEEE and WHO COVID-19 reports and guidelines analyzed. Results While the integration of technology-based contact tracing applications to combat COVID-19 and break transmission chains promise to yield better results, these technologies face challenges such as technical limitations, dealing with asymptomatic individuals, lack of supporting ICT infrastructure and electronic health policy, socio-economic inequalities, deactivation of mobile devices’ WIFI, GPS services, interoperability and standardization issues, security risks, privacy issues, political and structural responses, ethical and legal risks, consent and voluntariness, abuse of contact tracing apps, and discrimination. Conclusion Integrating emerging technologies into COVID-19 contact tracing is seen as a viable option that policymakers, health practitioners and IT technocrats need to seriously consider in mitigating the spread of coronavirus. Further research is also required on how best to improve efficiency and effectiveness in the utilisation of emerging technologies in contact tracing while observing the security and privacy of people in fighting the COVID-19 pandemic.

Background and aims The underestimation of the severity of COVID-19 by the South African government resulted in delayed action against the pandemic. Ever since WHO declared COVID-19 a pandemic preventive action was comprehensively upgraded worldwide. This prompted South African authorities to implement physical distancing, self-isolation, closure of non-essential services, schools, travelling restrictions and recursive national lockdowns to mitigate the impact of COVID-19. This explanatory study sought to review the effects of COVID-19 in the South African health system and society. Methods The study applied literature research of COVID-19 reports, policies from the National Department of Health, WHO, Africa CDC, and articles from Google Scholar, Science Direct, Web of Science, Scopus and PubMed. Results The South African health system is affected by the lack of PPEs, increased mortality rates, mental health problems, substance abuse, resurgent of NCDs. The closure of international borders, global demand meltdown, supply disruptions, dramatic scaling down of human and industrial activities during lockdown cause socio-economic problems. The prolonged effects of lockdown on psychosocial support services resulted in the outbursts of uncertainties, acute panic, fear, depression, obsessive behaviours, social unrests, stigmatization, anxiety, increased gender-based violence cases and discrimination in the distribution of relief food aid. Conclusion To slow down the spread of COVID-19, massive testing must be adopted, contact tracing, isolation, and home quarantine guidelines for asymptomatic cases which promote behavioural change and reviewing of policy on food relief.

COVID‐19 pandemic affects people in various ways and continues to spread globally. Researches are ongoing to develop vaccines and traditional methods of Medicine and Biology have been applied in diagnosis and treatment. Though there are success stories of recovered cases as of November 10, 2020, there are no approved treatments and vaccines for COVID‐19. As the pandemic continues to spread, current measures rely on prevention, surveillance, and containment. In light of this, emerging technologies for tackling COVID‐19 become inevitable. Emerging technologies including geospatial technology, artificial intelligence (AI), big data, telemedicine, blockchain, 5G technology, smart applications, Internet of Medical Things (IoMT), robotics, and additive manufacturing are substantially important for COVID‐19 detecting, monitoring, diagnosing, screening, surveillance, mapping, tracking, and creating awareness. Therefore, this study aimed at providing a comprehensive review of these technologies for tackling COVID‐19 with emphasis on the features, challenges, and country of domiciliation. Our results show that performance of the emerging technologies is not yet stable due to nonavailability of enough COVID‐19 dataset, inconsistency in some of the dataset available, nonaggregation of the dataset due to contrasting data format, missing data, and noise. Moreover, the security and privacy of people's health information is not totally guaranteed. Thus, further research is required to strengthen the current technologies and there is a strong need for the emergence of a robust computationally intelligent model for early differential diagnosis of COVID‐19.

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