2021
DOI: 10.1371/journal.pone.0258164
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Does the data tell the true story? A modelling assessment of early COVID-19 pandemic suppression and mitigation strategies in Ghana

Abstract: This paper uses publicly available data and various statistical models to estimate the basic reproduction number (R0) and other disease parameters for Ghana’s early COVID-19 pandemic outbreak. We also test the effectiveness of government imposition of public health measures to reduce the risk of transmission and impact of the pandemic, especially in the early phase. R0 is estimated from the statistical model as 3.21 using a 0.147 estimated growth rate [95% C.I.: 0.137–0.157] and a 15-day time to recovery after… Show more

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Cited by 7 publications
(9 citation statements)
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“…To date and since March 2020, two epidemic wave have been noted in Burkina Faso, three in Madagascar, and four in Ghana ( https://ourworldindata.org/covid-cases [ 15 ], accessed on February 14 th 2021) [ 1 ]. The detection of epidemic waves relies on testing consistency [ 16 ]. Extrapolating the seropositivity rate of our study population onto the total population number in the targeted districts of Bobo-Dioulasso and Ouagadougou infers that 352,848 individuals in Bobo-Dioulasso and 579,162 individuals in Ouagadougou had been infected by March 2021.…”
Section: Discussionmentioning
confidence: 99%
“…To date and since March 2020, two epidemic wave have been noted in Burkina Faso, three in Madagascar, and four in Ghana ( https://ourworldindata.org/covid-cases [ 15 ], accessed on February 14 th 2021) [ 1 ]. The detection of epidemic waves relies on testing consistency [ 16 ]. Extrapolating the seropositivity rate of our study population onto the total population number in the targeted districts of Bobo-Dioulasso and Ouagadougou infers that 352,848 individuals in Bobo-Dioulasso and 579,162 individuals in Ouagadougou had been infected by March 2021.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the events that have subsequently occasioned the ongoing COVID-19 pandemic from early 2020 to date are an excellent illustration of how policy uncertainty affects the overall society. Globally, several government decisions to impose lockdown measures and other non-pharmaceutical interventions to contain the spread of the virus, albeit successful, created significant uncertainty, which ultimately led to a slowdown in the global economy (Deb et al 2021;Frempong et al 2021;Dzator et al 2021;Lau et al 2020;Haider et al 2020).…”
Section: Economic Policy Uncertainty and Co 2 Emissionsmentioning
confidence: 99%
“…Five studies were conducted in low-income countries and 19 in lower-middle-income countries (Figure 2). Most of the studies were conducted in Asia, including Iran (7). India (4), Bangladesh (2), and Indonesia (2).…”
Section: Study Characteristicsmentioning
confidence: 99%
“…4 Numerous non-pharmaceutical public health interventions to curb the COVID-19 pandemic were implemented in many countries, including regulations to restrict movement and contact (lockdowns), and the use of masks to reduce the transmission of the virus. [5][6][7] Despite the intrinsic potential of the restrictions to lower the number of tra c-related deaths, 8-9 these measures may have inadvertently raised the death toll among patients with chronic illnesses because they made it more di cult for them to receive timely medical attention. [10][11] Also, the pandemic response has been shown to have resulted in more deaths due to exacerbation of domestic violence, suicide, and mental illness.…”
Section: Introductionmentioning
confidence: 99%