Socio-demographic factors, housing characteristics, and clinical symptoms associated with falciparum malaria in two rapidly urbanizing areas in the Ashanti region of Ghana.

Background: Malaria has been described as a disease of poverty, affecting the poorest populations typically living in rural areas. As hitherto rural areas transition into semi-urban environments, this study investigated the prevalence of falciparum malaria and associated risk factors in two rapidly urbanizing districts in the Ashanti Region of Ghana.

Methods: A cross-sectional, hospital-based study was conducted at Agona and Mankranso Government Hospitals located within the Sekyere South and Ahafo Ano Southwest districts respectively, in the Ashanti Region of Ghana.

Challenges in diagnosis of clinical and subclinical Plasmodium falciparum infections in Ghana and feasibility of reactive interventions to shrink the subclinical reservoir.

Background: Reactive case detection (RCD) aims to reduce malaria transmission stemming from asymptomatic carriers. Symptomatic individuals diagnosed with malaria at a health centre are followed to their households, where members of the index case and neighbouring households are tested and treated for malaria. An RCD programme was tested in the Ashanti region of Ghana in order to study diagnostic accuracy in the hospital and household settings, assess the prevalence of subclinical infections and possible clustering in index case households, and identify operational challenges for future RCD programmes.

Decolonizing global AI governance: assessment of the state of decolonized AI governance in Sub-Saharan Africa.

Global artificial intelligence (AI) governance must prioritize equity, embrace a decolonial mindset, and provide the Global South countries the authority to spearhead solution creation. Decolonization is crucial for dismantling Western-centric cognitive frameworks and mitigating biases. Integrating a decolonial approach to AI governance involves recognizing persistent colonial repercussions, leading to biases in AI solutions and disparities in AI access based on gender, race, geography, income and societal factors.

A digital microscope for the diagnosis of Plasmodium falciparum and Plasmodium vivax, including P. falciparum with hrp2/hrp3 deletion.

Sensitive and accurate malaria diagnosis is required for case management to accelerate control efforts. Diagnosis is particularly challenging where multiple Plasmodium species are endemic, and where P. falciparum hrp2/3 deletions are frequent.