Using an influenza surveillance system to estimate the number of SARS-CoV-2 infections in Beijing, China, weeks 2 to 6 2023.

With COVID-19 public health control measures downgraded in China in January 2023, reported COVID-19 case numbers may underestimate the true numbers after the SARS-CoV-2 Omicron wave. Using a multiplier model based on our influenza surveillance system, we estimated that the overall incidence of SARS-CoV-2 infections was 392/100,000 population in Beijing during the 5 weeks following policy adjustment. No notable change occurred after the Spring Festival in early February. The multiplier model provides an opportunity for assessing the actual COVID-19 situation.

The Economic Costs of COVID-19 in Sub-Saharan Africa: Insights from a Simulation Exercise for Ghana.

Globally, countries have resorted to social distancing, travel restrictions and economic lockdowns to reduce transmission of COVID-19. The socioeconomic costs of these blunt measures are expected to be high, especially in sub-Saharan Africa where many live hand-to-mouth and lack social safety nets. Social Accounting Matrix multiplier model results show that Ghana's urban lockdown, although in force for only three weeks in April 2020, has likely caused GDP to fall by 27.9% during that period, while an additional 3.8 million Ghanaians temporarily became poor. Compared to the government's revised GDP growth rate of 1.5% for 2020, the model predicts a contraction of 0.6 to 6.3% for 2020, depending on the speed of the recovery. The US$200 million budgeted for Ghana's Coronavirus Alleviation Program will close only a small part of the estimated US$ 2.3 billion GDP gap between the fast recovery scenario and government's revised GDP trajectory.

Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa.

Absent vaccines and pharmaceutical interventions, the only tool available to mitigate its demographic effects is some measure of physical distancing, to reduce contagion by breaking social and economic contacts. Policy makers must balance the positive health effects of strong distancing measures, such as lockdowns, against their economic costs, especially the burdens imposed on low income and food insecure households. The distancing measures deployed by South Africa impose large economic costs and have negative implications for the factor distribution of income. Labor with low education levels are much more strongly affected than labor with secondary or tertiary education. As a result, households with low levels of educational attainment and high dependence on labor income would experience an enormous real income shock that would clearly jeopardize the food security of these households. However, in South Africa, total incomes for low income households are significantly insulated by government transfer payments. From public health, income distribution and food security perspectives, the remarkably rapid and severe shocks imposed because of Covid-19 illustrate the value of having in place transfer policies that support vulnerable households in the event of 'black swan' type shocks.