Functional Simulation Exercise on Functionality of National Public Health Emergency Operations Centers in the African Region: Review of Strengths and Gaps.

National public health emergency operations centers (PHEOCs) serve as hubs for coordinating information and resources for effective emergency management. In the International Health Regulations (IHR 2005) Monitoring and Evaluation Framework, a simulation exercise is 1 of 4 components that can be used to test the functionality of a country's emergency response capabilities in a simulated situation. To test the functionality of PHEOCs in World Health Organization African Region member states, a regional functional exercise simulating an Ebola virus disease outbreak was conducted. The public health actions taken in response to the simulated outbreak were evaluated against the exercise objectives. Thematic analysis was conducted to summarize key strengths and areas for improvement. From December 6 to 7, 2022, more than 1,000 representatives from 36 of the 47 African Region member states participated in the exercise from their respective PHEOCs. Approximately 95% of the 461 participants polled agreed with the positive responses to the postexercise survey. More than half of the PHEOC participants were able to test their existing emergency preparedness and response plans and became familiar with the expected roles to be fulfilled during an event. Of the participants who responded to the survey, over 90% reported that the exercise helped them understand their roles during emergency management. The exercise met its objectives and provided an opportunity to test the functionality of PHEOCs using realistic scenarios, and it helped participants understand existing response systems and procedures. However, the exercise also revealed areas for improvement in terms of the timing and preparation of participants. We recommend conducting functional exercises at the regional and national levels at least once a year, early or midyear, to allow many stakeholders to take part in the exercise. Moreover, there is a need to train country-level evaluators and controllers in designing and conducting functional exercises.

Projected health workforce requirements and shortage for addressing the disease burden in the WHO Africa Region, 2022-2030: a needs-based modelling study.

INTRODUCTION: An adequate health workforce (HWF) is essential to achieving the targets of the Sustainable Development Goals (SDG), including universal health coverage. However, weak HWF planning and constrained fiscal space for health, among other factors in the WHO Africa Region, has consistently resulted in underinvestment in HWF development, shortages of the HWF at the frontlines of service delivery and unemployment of qualified and trained health workers. This is further compounded by the ever-evolving disease burden and reduced access to essential health services along the continuum of health promotion, disease prevention, diagnostics, curative care, rehabilitation and palliative care. METHODS: A stock and flow model based on HWF stock in 2022, age structure, graduation and migration was conducted to project the available stock by 2030. To estimate the gap between the projected stock and the need, a population needs-based modelling was conducted to forecast the HWF needs by 2030. These estimations were conducted for all 47 countries in the WHO African Region. Combining the stock projection and needs-based estimation, the modelling framework included the stock of health workers, the population's need for health services, the need for health workers and gap analysis expressed as a needs-based shortage of health workers. RESULTS: The needs-based requirement for health workers in Africa was estimated to be 9.75 million in 2022, with an expected 21% increase to 11.8 million by 2030. The available health workers in 2022 covered 43% of the needs-based requirements and are anticipated to improve to 49% by 2030 if the current trajectory of training and education outputs is maintained. An increase of at least 40% in the stock of health workers between 2022 and 2030 is anticipated, but this increase would still leave a needs-based shortage of 6.1 million workers by 2030. Considering only the SDG 3.c.1 tracer occupations (medical doctors, nurses, midwives, pharmacists and dentists), the projected needs-based shortage is 5.3 million by 2030. In sensitivity analysis, the needs-based shortage is most amenable to the prevalence of diseases/risk factors and professional standards for service delivery CONCLUSIONS: The WHO African Region would need to more than double its 2022 HWF stock if the growing population's health needs are to be adequately addressed. The present analysis offers new prospects to better plan HWF efforts considering country-specific HWF structure, and the burden of disease.

Diagnostics for detection and surveillance of priority epidemic-prone diseases in Africa: an assessment of testing capacity and laboratory strengthening needs.

In 2023, Africa experienced 180 public health emergencies, of which 90% were infectious diseases and 75% were related to zoonotic diseases. Testing capacity for epidemic-prone diseases is essential to enable rapid and accurate identification of causative agents, and for action to prevent disease spread. Moreover, testing is pivotal in monitoring disease transmission, evaluating public health interventions and informing targeted resource allocation during outbreaks. An online, self-assessment survey was conducted in African Union Member States to identify major challenges in testing for epidemic-prone diseases. The survey assessed current capacity for diagnosing priority epidemic-prone diseases at different laboratory levels. It explored challenges in establishing and maintaining testing capacity to improve outbreak response and mitigate public health impact. Survey data analysed diagnostic capacity for priority infectious diseases, diagnostic technologies in use, existing surveillance programmes and challenges limiting diagnostic capacity, by country. The survey result from 15 Member States who responded to the survey, showed high variability in testing capacity and technologies across countries and diverse factors limiting testing capacity for certain priority diseases like dengue and Crimean-Congo haemorrhagic fever. At the same time diagnostic capacity is better for coronavirus disease 2019 (COVID-19), polio, and measles due to previous investments. Unfortunately, many countries are not utilizing multiplex testing, despite its potential to improve diagnostic access. The challenges of limited laboratory capacity for testing future outbreaks are indeed significant. Recent disease outbreaks in Africa have underscored the urgent need to strengthen diagnostic capacity and introduce cost-effective technologies. Small sample sizes and differing disease prioritisation within each country limited the analysis. These findings suggest the benefits of evaluating laboratory testing capacity for epidemic-prone diseases and highlight the importance of effectively addressing challenges to detect diseases and prevent future pandemics.

Changing direction for health in Africa.

Current developments augurs well for sexual and reproductive health in Africa. With the African Union joining the G20 group, it is expected that its regional health priorities will be given special consideration. Social protection and empowerment of youth and women were prominent at the recent Summit of the Future. The impending change in leadership at the African regional office of the World Health Organization brings great expectations for sound policy formulation and surveillance for detecting outbreaks of epidemics. At the United Nations, Africa will benefit from reform of the Security Council besides intensified activities pertaining to the Sustainable Development Goals.

Les développements actuels sont de bon augure pour la santé sexuelle et reproductive en Afrique. Avec l'adhésion de l'Union africaine au groupe du G20, on s'attend à ce que ses priorités régionales en matière de santé fassent l'objet d'une attention particulière. La protection sociale et l'autonomisation des jeunes et des femmes étaient au centre du récent Sommet du futur. Le changement imminent à la tête du bureau régional africain de l'Organisation mondiale de la santé suscite de grands espoirs en matière de formulation de politiques et de surveillance judicieuses pour détecter les flambées d'épidémies. Aux Nations Unies, l'Afrique bénéficiera de la réforme du Conseil de sécurité ainsi que de l'intensification des activités liées aux objectifs de développement durable.

Utilization of mobile surgical units to address surgical needs in remote African communities: a narrative review.

INTRODUCTION: Accessing surgical care is of profound significance that face remote African communities due to insufficient healthcare means and infrastructure. Deploying mobile surgical units (MSUs) have present a potential solution to underserved populations in rural Africa to address said issues. The aim of this narrative review is to examine the role of MSU utilization in remote African communities to meet surgical needs and evaluate how this has affected healthcare provision. METHODS: To identify studies focusing on the dissemination of MSUs in remote African communities covered countries such as Uganda, Kenya, Tanzania, Nigeria, and Ethiopia, and we employed a plethora of electronic search databases including PubMed/Medline, Google Scholar, Scopus and other relevant literature sources. Inclusion criteria were studies on MSUs in remote African communities, while exclusion criteria involved non- African or urban-focused studies. RESULTS: This review highlights that the current literature depicts that application of MSUs bring a positive impact in providing timely and quality surgical care to remote African communities. Frequent interventions, such as minor surgeries, obstetric procedures, and major trauma control, have been performed on MSUs. In settings with shortages of human resources and clinical equipments, these units have improved patient outcomes, reduced healthcare disparities, and increased access to emergency surgical care. While challenges such as financial constraints and surgical sustainability have been noted, the need for interdisciplinary collaboration and the advantages of MSU deployment often help mitigate these obstacles. CONCLUSION: A lack of surgical care for individuals living in remote African domiciles may be addressed via MSU application. Through delivering fundamental surgical services directly to underserved populations, MSUs may potentially prevent disabilities, save countless lives, and enhance overall health outcomes in African remote communities. To guarantee the long-term feasibility and sustainability of MSU programs in Africa, however, more funding must be allocated to infrastructure, supplies, and relevant education.

The lifetime risk of maternal near miss morbidity in Asia, Africa, the Middle East, and Latin America: a cross-country systematic analysis.

BACKGROUND: Life-threatening maternal near miss (MNM) morbidity can have long-term consequences for the physical, psychological, sexual, social, and economic wellbeing of female individuals. The lifetime risk of MNM (LTR-MNM) quantifies the probability that a female individual aged 15 years will have an MNM before age 50 years, given current mortality and fertility rates. We compare the LTR-MNM globally to reveal inequities in the cumulative burden of severe maternal morbidity across the reproductive life course. METHODS: We estimated the LTR-MNM for 40 countries with multifacility, regional, or national data on the prevalence of MNM morbidity measured using WHO or modified WHO criteria of organ dysfunction from 2010 onwards (Central and Southern Asia=6, Eastern and Southeastern Asia=9, Latin America and the Caribbean=10, Northern Africa and Western Asia=2, sub-Saharan Africa=13). We also calculated the lifetime risk of severe maternal outcome (LTR-SMO) as the lifetime risk of maternal death or MNM. FINDINGS: The LTR-MNM ranges from a 1 in 269 risk in Viet Nam (2010) to 1 in 6 in Guatemala (2016), whereas the LTR-SMO ranges from a 1 in 201 risk in Malaysia (2014) to 1 in 5 in Guatemala (2016). The LTR-MNM is a 1 in 20 risk or higher in nine countries, seven of which are in sub-Saharan Africa. The LTR-SMO is a 1 in 20 risk or higher in 11 countries, eight of which are in sub-Saharan Africa. The relative contribution of the LTR-MNM to the LTR-SMO ranges from 42% in Angola to 99% in Japan. INTERPRETATION: There exist substantial global and regional disparities in the cumulative burden of severe maternal morbidity across the reproductive life course. The LTR-MNM is an important indicator to highlight the magnitude of inequalities in MNM morbidity, once accounting for obstetric risk, fertility rates, and mortality rates. The LTR-SMO can be used to highlight variation in the relative importance of morbidity to the overall burden of maternal ill-health across the female reproductive life course, given countries' stage in the obstetric transition. Both the LTR-MNM and LTR-SMO can serve as important indicators to advocate for further global commitment to end preventable maternal morbidity and mortality. FUNDING: UK Economic and Social Research Council, EU Horizon 2020 Marie Curie Fellowship, and Leverhulme Trust Large Centre Grant.

Gender-based violence and its determinants among refugees and internally displaced women in Africa: systematic review and meta-analysis.

BACKGROUND: Gender-based violence is a serious public health concern and affects a large number of women and girls in humanitarian emergencies. Despite this, there is a dearth of the summary data to address the issue. Therefore, this study aimed to assess the estimated pooled magnitude and factors associated with gender-based violence among refugees and internally displaced women in Africa. METHODS: PubMed/MEDLINE, Google Scholar, African Journals OnLine, PsycINFO, and EMBASE were among the databases that were used to search the primary articles. The reviewed papers were articles that evaluated the prevalence and contributing variables of gender-based violence against refugees and internally displaced women in Africa. We extracted the data using a Microsoft Excel spreadsheet, which we exported into Stata version 14 for further analysis. The I2 test was applied to identify statistical heterogeneity. We used a random effect meta-analysis methodology because of the heterogeneity. A funnel plot and Egger's weighted regression test were used to examine publication bias. RESULTS: This systematic review and meta-analysis reviewed 17 primary studies with a total of 6,161 refugees and internally displaced women in Africa. The findings of this study revealed that the estimated pooled prevalence of gender-based violence among refugees and internally displaced women was determined to be 48.20% (95% CI: 39.28, 57.12). Young age (AOR = 3.68, CI: 2.63, 5.14), alcohol consumption (AOR = 2.53, CI: 1.56, 4.11), and having no social protection (AOR = 3.21, CI: 2.22, 4.63) were factors significantly associated with gender-based violence. CONCLUSIONS AND RECOMMENDATIONS: The present study showed that almost half of refugees and internally displaced women residing in Africa were survivors of gender-based violence. Younger women, alcohol users, and those without social protection were more likely to experience gender-based violence. Therefore, it is recommended that accessible information about the consequences of gender-based violence and early intervention for survivors be provided, taking these factors into consideration.

Data protection legislation in Africa and pathways for enhancing compliance in big data health research.

BACKGROUND: The increasing availability of large volumes of personal data from diverse sources such as electronic health records, research programmes, commercial genetic testing, national health surveys and wearable devices presents significant opportunities for advancing public health, disease surveillance, personalized medicine and scientific research and innovation. However, this potential is hampered by a lack of clarity related to the processing and sharing of personal health data, particularly across varying national regulatory frameworks. This often leaves researcher stakeholders uncertain about how to navigate issues around secondary data use, repurposing data for different research objectives and cross-border data sharing. METHOD: We analysed 37 data protection legislation across Africa to identify key principles and requirements for processing and sharing of personal health and genetic data in scientific research. On the basis of this analysis, we propose strategies that data science research initiatives in Africa can implement to ensure compliance with data protection laws while effectively reusing and sharing personal data for health research and scientific innovation. RESULTS: In many African countries, health and genetic data are categorized as sensitive and subject to stricter protection. Key principles guiding the processing of personal data include confidentiality, non-discrimination, transparency, storage limitation, legitimacy, purpose specification, integrity, fairness, non-excessiveness, accountability and data minimality. The rights of data subjects include the right to be informed, the right of access, the right to rectification, the right to erasure/deletion of data, the right to restrict processing, the right to data portability and the right to seek compensation. Consent and adequacy assessments were the most common legal grounds for cross-border data transfers. However, considerable variation exists in legal requirements for data transfer across countries, potentially creating barriers to collaborative health research across Africa. CONCLUSIONS: We propose several strategies that data science research initiatives can adopt to align with data protection laws. These include developing a standardized module for safe data flows, using trusted data environments to minimize cross-border transfers, implementing dynamic consent mechanisms to comply with consent specificity and data subject rights and establishing codes of conduct to govern the secondary use of personal data for health research and innovation.

Spatial modeling and ecological suitability of Ebola virus disease in Africa.

This paper looks into the MaxEnt model in a trial to comprehend the ecological and environmental conditions that propagate and drive the spread of Ebola Virus Disease in Africa. We use the MaxEnt model to assess risk determinants associated with the occurrence and distribution of EVD, taking into account non-correlated variables such as neighborhood mean temperature, rainfall, and human population density. Our findings indicate that among the factors that significantly shape the geographical distribution of EVD risk are human population density, annual rainfall, temperature variability, and seasonality. The model used is both reliable and accurate (the average value for training AUC was 0.987); it can be used as a valuable approach for the prediction of infectious disease outbreaks. High-risk areas are primarily identified in the western and central regions of Africa, with some of the others in the east also vulnerable. This further calls for specified public health interventions and enhanced surveillance in specified hotspots, contributing to global efforts to predict and mitigate risks associated with EVD outbreaks more adequately. The findings further support that it remains imperative to conduct additional research, including socio-economic and cultural variables, to enhance the understanding of how environmental factors contribute to the emergence and transmission of Ebola.

HIV-related perceived stigma and internalized stigma among people living with HIV/AIDS in Africa: A systematic review and meta-analysis.

BACKGROUND: HIV-related stigma has significant adverse impacts on people living with HIV/AIDS, such as psychological distress, decreased quality of life, a reluctance to get screened and treated, and a reluctance to disclose their status due to fear of stereotypes or rejection. OBJECTIVES: To determine the pooled prevalence and factors associated with HIV-related perceived stigma and internalized stigma among people living with HIV/AIDS in Africa. METHODS: Articles that assessed the prevalence and associated factors of HIV-related perceived stigma and internalized stigma were reviewed. PubMed, EMBASE, Google Scholar, African Journal Online, CINAHL, and Science Direct were the databases used to search the primary studies. The data was extracted through a Microsoft Excel spreadsheet and exported to STATA version 14 for further analysis. The I2 test was applied to test heterogeneity, whereas Egger's test and funnel plot were used to check publication bias. RESULTS: In this study, the total sample size was 28,355 (for perceived stigma) and 22,732 (for internalized stigma). The overall pooled prevalence of HIV-related perceived stigma and internalized stigma was determined to be 41.23% and 35.68%, respectively. Based on the subgroup analysis results, the highest pooled prevalence of perceived stigma was observed in Nigeria (50.04%), followed by Ethiopia (41.72%), while the highest prevalence of internalized stigma was observed in Ethiopia (56.13%), followed by Cameroon (44.66%). Females (OR = 1.63: 1.31, 2.02) and rural dwellers (OR = 1.93: 1.36, 2.74) had more odds of experiencing HIV-related perceived stigma. CONCLUSION AND RECOMMENDATION: This study concluded that four in ten and more than one-third of people living with HIV/AIDS suffered from perceived and internalized stigma. Thus, special considerations must be given to women and rural dwellers. It is recommended to implement multi-level interventions and foster empowerment and support for individuals living with HIV.

Deciphering the complex interplay: Heterogeneous, threshold, and mediation effects of trade openness on CO2 emissions in Africa.

Despite having barely anything to do with the issue of CO2 emissions, Africa has been experiencing more severe climate change and its adverse effects than most other regions of the globe. However, the issue of CO2 emissions and its adverse effects has received relatively little attention in the African research arena. To this end, the present research assesses the effect of trade openness on the CO2 emissions utilizing panel data from 46 African countries spanning 2000 through 2022. To account for the possible heterogeneity and nonlinearity, the panel quantile regression and threshold methods were employed. Moreover, this study investigates the key mediating effects of the channel. The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. Moreover, the findings divulge that openness to trade indirectly reduces CO2 emissions through the substitution and technology channels whereas it indirectly increases carbon dioxide production via the economic track. Therefore, it is vital to promote the use of renewable energy, effectively leverage the knowledge spillover effects of trade to decrease energy intensity and formulate pertinent policies aimed at curbing carbon emissions and addressing the imminent threat of climate change in Africa. Besides, the nonlinear and heterogeneous effects of trade openness on CO2 emissions suggest that policies and interventions related to the impact of trade openness on CO2 emissions should consider the current level of carbon dioxide emissions.

Modelling the impact of vaccination on COVID-19 in African countries.

The rapid development of vaccines to combat the spread of COVID-19, caused by the SARS-CoV-2 virus, is a great scientific achievement. Before the development of the COVID-19 vaccines, most studies capitalized on the available data that did not include pharmaceutical measures. Such studies focused on the impact of non-pharmaceutical measures such as social distancing, sanitation, use of face masks, and lockdowns to study the spread of COVID-19. In this study, we used the SIDARTHE-V model, an extension of the SIDARTHE model, which includes vaccination rollouts. We studied the impact of vaccination on the severity of the virus, specifically focusing on death rates, in African countries. The SIRDATHE-V model parameters were extracted by simultaneously fitting the COVID-19 cumulative data of deaths, recoveries, active cases, and full vaccinations reported by the governments of Ghana, Kenya, Mozambique, Nigeria, South Africa, Togo, and Zambia. Using South Africa as a case study, our analysis showed that the cumulative death rates declined drastically with the increased extent of vaccination drives. Whilst the infection rates sometimes increased with the arrival of new coronavirus variants, the death rates did not increase as they did before vaccination.

Biomarkers of neurodegeneration across the Global South.

Research on neurodegenerative diseases has predominantly focused on high-income countries in the Global North. This Series paper describes the state of biomarker evidence for neurodegeneration in the Global South, including Latin America, Africa, and countries in south, east, and southeast Asia. Latin America shows growth in fluid biomarker and neuroimaging research, with notable advancements in genetics. Research in Africa focuses on genetics and cognition but there is a paucity of data on fluid and neuroimaging biomarkers. South and east Asia, particularly India and China, has achieved substantial progress in plasma, neuroimaging, and genetic studies. However, all three regions face several challenges in the form of a lack of harmonisation, insufficient funding, and few comparative studies both within the Global South, and between the Global North and Global South. Other barriers include scarce infrastructure, lack of knowledge centralisation, genetic and cultural diversity, sociocultural stigmas, and restricted access to tools such as PET scans. However, the diverse ethnic, genetic, economic, and cultural backgrounds in the Global South present unique opportunities for bidirectional learning, underscoring the need for global collaboration to enhance the understanding of dementia and brain health.

Digital entanglements: Medical drones in African healthcare systems.

The intensified scramble for the digitalisation of healthcare across Africa, coupled with the general drive for digital economies, has ushered in digital health innovations that are reconfiguring national discourses on humanitarian and development contexts. Through these innovations, imaginaries of health have become entangled with aspirations for universal health coverage (UHC) and the actualisation of the health-related sustainable development goals (SDGs). Among these innovations, drones promise to leapfrog and transform conventional African healthcare systems, which have suffered from structural bottlenecks for years, offering citizens on the margins of care critical biomedical gazes. By using drones, African states hope to improve revenue collection, curb corruption, redress health insecurities and deliver life-saving medicines, vaccines and laboratory diagnostics through a last-mile distribution schedule. Ethnographic fieldwork from 2022 to 2023 in Ghana and Malawi on the use of drones found distortions to the health workforce, disruptions to health work, and a pervasive internal brain drain, all exacerbating health-worker shortages. This paper explores how drones are reconfiguring health work and its available labour force in practice amid persistent shortages of health-workers.

Africa aims to avert an mpox pandemic.

Last month, when the world's most populus country, India, reported its first case of the new, highly transmissible clade Ib mpox variant, the challenge of containing the virus was once again evident. Only a few weeks before that in August, the World Health Organization (WHO) and the Africa Centres for Disease Control and Prevention (Africa CDC) declared mpox a public health emergency in response to its spread in Africa. Since then, cases of clade Ib mpox have been reported in Sweden, Thailand, and Pakistan. Although mpox is not yet a global pandemic, the new variant may tip the scales in that direction if the world does not act quickly to mitigate its spread in Africa.

Global primary predictors of extinction risk in primates.

Identifying the main predictors of species' extinction risk while accounting for the effects of spatial and phylogenetic structures in the data is key to preventing species loss in tropical forests through adequate conservation practices. We recorded 22 705 precise geographical locations of primate occurrence across four major geographic realms (Neotropics, mainland Africa, Madagascar and Asia) to assess predictors of threat status using a novel Bayesian spatio-phylogenetic approach. We estimated the relative contributions of fixed factors (forest amount, body mass, home range, diel activity, locomotion, evolutionary distinctiveness and climatic instability) and random factors (space and phylogeny) to primate extinction risk. Precipitation instability increased the extinction risk in the Neotropics but decreased it in mainland Africa and Madagascar. Forest amount was negatively associated with extinction risk in all realms except Madagascar. Body mass increased the extinction risk in the Neotropics and Madagascar, whereas home range increased the extinction risk in mainland Africa and decreased it in Asia. Evolutionary distinctiveness negatively influenced extinction risk only in mainland Africa. Our findings highlight the importance of climate change mitigation and forest protection strategies. Increasing the protection of large primates and reducing hunting are also essential.