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      Urban health nexus with coronavirus disease 2019 (COVID-19) preparedness and response in Africa: Rapid scoping review of the early evidence

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          Abstract

          Introduction:

          Severe acute respiratory syndrome coronavirus 2 also called coronavirus disease 2019 was first reported in the African continent on 14 February 2020 in Egypt. As at 18 December 2020, the continent reported 2,449,754 confirmed cases, 57,817 deaths and 2,073,214 recoveries. Urban cities in Africa have particularly suffered the brunt of coronavirus disease 2019 coupled with criticisms that the response strategies have largely been a ‘one-size-fits-all’ approach. This article reviewed early evidence on urban health nexus with coronavirus disease 2019 preparedness and response in Africa.

          Methods:

          A rapid scoping review of empirical and grey literature was done using data sources such as ScienceDirect, GoogleScholar, PubMed, HINARI and official websites of World Health Organization and Africa Centres for Disease Control and Prevention. A total of 26 full articles (empirical studies, reviews and commentaries) were synthesised and analysed qualitatively based on predefined inclusion criteria on publication relevance and quality.

          Results:

          Over 70% of the 26 articles reported on coronavirus disease 2019 response strategies across Africa; 27% of the articles reported on preparedness towards coronavirus disease 2019, while 38% reported on urbanisation nexus with coronavirus disease 2019; 40% of the publications were full-text empirical studies, while the remaining 60% were either commentaries, reviews or editorials. It was found that urban cities remain epicentres of coronavirus disease 2019 in Africa. Even though some successes have been recorded in Africa regarding coronavirus disease 2019 fight, the continent’s response strategies were largely found to be a ‘one-size-fits-all’ approach. Consequently, adoption of ‘Western elitist’ mitigating measures for coronavirus disease 2019 containment resulted in excesses and spillover effects on individuals, families and economies in Africa.

          Conclusion:

          Africa needs to increase commitment to health systems strengthening through context-specific interventions and prioritisation of pandemic preparedness over response. Likewise, improved economic resilience and proper urban planning will help African countries to respond better to future public health emergencies, as coronavirus disease 2019 cases continue to surge on the continent.

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          Most cited references58

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          Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

          Abstract Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. Methods We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. Results Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). Conclusions On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.)
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            Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: a modelling study

            Summary Background While the COVID-19 pandemic will increase mortality due to the virus, it is also likely to increase mortality indirectly. In this study, we estimate the additional maternal and under-5 child deaths resulting from the potential disruption of health systems and decreased access to food. Methods We modelled three scenarios in which the coverage of essential maternal and child health interventions is reduced by 9·8–51·9% and the prevalence of wasting is increased by 10–50%. Although our scenarios are hypothetical, we sought to reflect real-world possibilities, given emerging reports of the supply-side and demand-side effects of the pandemic. We used the Lives Saved Tool to estimate the additional maternal and under-5 child deaths under each scenario, in 118 low-income and middle-income countries. We estimated additional deaths for a single month and extrapolated for 3 months, 6 months, and 12 months. Findings Our least severe scenario (coverage reductions of 9·8–18·5% and wasting increase of 10%) over 6 months would result in 253 500 additional child deaths and 12 200 additional maternal deaths. Our most severe scenario (coverage reductions of 39·3–51·9% and wasting increase of 50%) over 6 months would result in 1 157 000 additional child deaths and 56 700 additional maternal deaths. These additional deaths would represent an increase of 9·8–44·7% in under-5 child deaths per month, and an 8·3–38·6% increase in maternal deaths per month, across the 118 countries. Across our three scenarios, the reduced coverage of four childbirth interventions (parenteral administration of uterotonics, antibiotics, and anticonvulsants, and clean birth environments) would account for approximately 60% of additional maternal deaths. The increase in wasting prevalence would account for 18–23% of additional child deaths and reduced coverage of antibiotics for pneumonia and neonatal sepsis and of oral rehydration solution for diarrhoea would together account for around 41% of additional child deaths. Interpretation Our estimates are based on tentative assumptions and represent a wide range of outcomes. Nonetheless, they show that, if routine health care is disrupted and access to food is decreased (as a result of unavoidable shocks, health system collapse, or intentional choices made in responding to the pandemic), the increase in child and maternal deaths will be devastating. We hope these numbers add context as policy makers establish guidelines and allocate resources in the days and months to come. Funding Bill & Melinda Gates Foundation, Global Affairs Canada.
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              Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study

              Summary Background The novel coronavirus disease 2019 (COVID-19) epidemic has spread from China to 25 countries. Local cycles of transmission have already occurred in 12 countries after case importation. In Africa, Egypt has so far confirmed one case. The management and control of COVID-19 importations heavily rely on a country's health capacity. Here we evaluate the preparedness and vulnerability of African countries against their risk of importation of COVID-19. Methods We used data on the volume of air travel departing from airports in the infected provinces in China and directed to Africa to estimate the risk of importation per country. We determined the country's capacity to detect and respond to cases with two indicators: preparedness, using the WHO International Health Regulations Monitoring and Evaluation Framework; and vulnerability, using the Infectious Disease Vulnerability Index. Countries were clustered according to the Chinese regions contributing most to their risk. Findings Countries with the highest importation risk (ie, Egypt, Algeria, and South Africa) have moderate to high capacity to respond to outbreaks. Countries at moderate risk (ie, Nigeria, Ethiopia, Sudan, Angola, Tanzania, Ghana, and Kenya) have variable capacity and high vulnerability. We identified three clusters of countries that share the same exposure to the risk originating from the provinces of Guangdong, Fujian, and the city of Beijing, respectively. Interpretation Many countries in Africa are stepping up their preparedness to detect and cope with COVID-19 importations. Resources, intensified surveillance, and capacity building should be urgently prioritised in countries with moderate risk that might be ill-prepared to detect imported cases and to limit onward transmission. Funding EU Framework Programme for Research and Innovation Horizon 2020, Agence Nationale de la Recherche.
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                Author and article information

                Journal
                SAGE Open Med
                SAGE Open Med
                SMO
                spsmo
                SAGE Open Medicine
                SAGE Publications (Sage UK: London, England )
                2050-3121
                11 February 2021
                2021
                : 9
                : 2050312121994360
                Affiliations
                [1 ]Centre for Health Policy and Implementation Research, Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana
                [2 ]School of Nursing, University of California, San Francisco, CA, USA
                [3 ]Department of Public Administration and Health Services Management, University of Ghana, Accra, Ghana
                [4 ]School of Nursing, University of Health and Allied Sciences, Ho, Ghana
                [5 ]Department of Economics, University of Ghana, Accra, Ghana
                [6 ]Ho Teaching Hospital (HTH), Ho, Ministry of Health, Ghana
                [7 ]Institutional Care Division, Ghana Health Service, Accra, Ghana
                [8 ]School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana
                Author notes
                [*]Robert Kaba Alhassan, Centre for Health Policy and Implementation Research, Institute of Health Research, University of Health and Allied Sciences, Ho PMB 31, Volta Region Ho, Ghana. Email: ralhassan@ 123456uhas.edu.gh ; arkabason@ 123456gmail.com
                Author information
                https://orcid.org/0000-0003-4227-4854
                https://orcid.org/0000-0002-7918-2999
                Article
                10.1177_2050312121994360
                10.1177/2050312121994360
                7887690
                d380f15b-fa51-423c-902c-2fa6a0b9be8c
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 31 August 2020
                : 20 January 2021
                Categories
                Systematic Review
                Custom metadata
                January-December 2021
                ts1

                coronavirus disease 2019,pandemic preparedness,response strategies,africa,urban health

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