Introduction An adequate health workforce is one of the cornerstones of a healthy nation. Over the last two decades, Africa has gained momentum in mitigating critical health workforce gaps, but urgent actions are still needed to accelerate progress towards universal health coverage and ensuring health security. This analysis provides an overview of the health workforce in the WHO African Region for the last decade. Methods Data were extracted and triangulated from the National Health Workforce Accounts (NHWA), health labour market analyses, countries’ human resources for health (HRH) profiles, HRH strategic plans and annual reports. A descriptive analysis of health worker stock, training capacity and unemployment levels was undertaken. The density of health workers was calculated per 10 000 population for each country and examined by occupational groups and income levels of the countries to provide a more comprehensive understanding of the health workforce dynamics. Results The stock of the health workforce progressively increased from 1.6 million in 2013 to 4.3 million in 2018 and 5.1 million in 2022. The stock of doctors, nurses, midwives, dentists and pharmacists was 2.6 million in 2022, representing a threefold increase over 10 years, with an annual growth rate of 13%. The density of these five health workforce occupations grew by 1.9% per annum between 2018 and 2022, from 11.14 per 10 000 in 2013 to 26.82 per 10 000 in 2022. The health professions education capacity in the region increased by 70%, with the annual education output growing from 148 357 graduates in 2018 to over 255 000 in 2022. The comprehensiveness of the findings can be attributed to improvement in health workforce data availability and quality as more countries implement the NHWA. The improvements in the health workforce in the region are also partly attributable to increasing investments in the capacity of health professions education institutions to produce more health workers, and use of evidence in planning, decision-making and high-level advocacy at various levels to invest in health workers. Conclusion This study provides crucial insights for policy reforms and investments to enhance the health workforce, which is essential to achieving universal health coverage and ensuring health security. While progress is notable, countries with unique challenges need targeted analyses and continuous support to develop the necessary number and skills of health workers in the African region.

This study assesses and quantifies the economic and financial impacts of the COVID-19 pandemic during the period of business operation restrictions countrywide (lockdown measures). We examine the strategies adopted by small and medium-sized enterprises (SMEs) to reopen their business operations after lockdown measures had been relaxed or lifted. Data were collected in Rwanda from nearly 244 SMEs across the country, providing firsthand and reliable information on the effects of the pandemic on business performance, with a particular emphasis on wood-based enterprises. We used Exploratory Data Analysis (EDA) and multivariate linear regression methods to measure the pandemic’s effects on employment, sales, and tax payments among SMEs. The findings reveal that firms downsized employment by 36%, with significant deviations within different SME sizes. Small businesses were particularly affected by reduced sales levels due to the pandemic. Although there was an overall reduction in tax payments during the crisis, medium-sized enterprises experienced a more significant decrease in taxes paid to the government by 74.6%. Additionally, regression findings affirm that the COVID-19 effects on SMEs were manifested in reduced sales across all categories of SMEs, reduced employment, and a reduced amount of taxes paid to the government, which further translate to reduced economic performance during COVID-19 period. Furthermore, SME owners utilised various coping mechanisms during the reopening phase, including a reliance on savings and selling assets. The analysis recommends establishing medium-term financing mechanisms and providing technical support for SMEs to ensure a steady and sustainable recovery from the pandemic’s effects, as well as enhancing their resilience to future socio-economic shocks.

This study aims to quantify the extent to which poor households receiving cash support from the Vision Umurenge Programme (VUP) allocate their income across major spending categories, mainly consumption, savings, household-level investment, and cash transfers for community participation. The analysis utilises a nationally representative panel dataset of 1642 respondents, collected between 2013 and 2017. A Maximum Likelihood Method (MLM) approach was employed to model four financial behaviours: (i) saving, (ii) consumption, (iii) investment, and (iv) social transfers as a proxy for community participation. The independent variables include the monetary benefits received by individuals over different periods, alongside demographic characteristics such as gender, age, education level, and area of residence (rural–urban), which were controlled in the analysis. The findings reveal a positive and statistically significant effect of the direct cash support provided by the VUP on increased consumption, and marginal effects on individual savings and investment behaviours. However, the data do not provide sufficient evidence to conclusively establish a relationship between participation in the VUP and cash transfers for community participation. The study recommends the intensification of efforts to engage in saving as way to build resilience, and further suggest a periodic increase in the VUP benefits’ size to cushion inflation effects.

Analysis of immediate effects of the COVID-19 pandemic on SMEs in Rwanda aims to assess and quantify the economic and financial impacts of the pandemic during the lockdown and presents options adopted by SMEs to reopen their business opera-tions. It also seeks to recommend options for sustainable and resilient economic recovery from the scars of COVID-19. This analysis used data collected from nearly 220 SMEs located across the country and applied an Exploratory Data Analysis (EDA) and multivariate linear regression models to measure the pandemic effects. The study revealed that firms downsized employment by 36.4 per cent, but data depict significant deviation within SMEs by their size. The COVID-19 pandemic has had a greater magni-tude of negative effects on sales levels among small businesses. Tax amounts were reduced amidst the crisis however, data do not show any significant variations among SMEs. Additionally, SMEs owners applied various coping mechanisms during re-opening. The study used firm-level data, providing detailed and reliable effects of the shocks on business performance. This analysis recommends establishing the medium-term financing and technical support for SMEs to ensure steady and sustainable recovery from pandemic effects as well as strengthening their resilience to any other socio-economics shocks.