Research Intelligence
550,000+ publications from 700+ African universities, with plain-language summaries, verified researchers and the commercial angle on each piece of work.
University of Lagos · Nigeria · Advanced biosensing and bioanalysis techniques
suggest promising approaches to develop sensitive and species-specific multiplexed diagnostic devices enabling effective detection of malaria in complex biological matrices and surveillance in the endemic region
Ahmadu Bello University · Nigeria · Global Maternal and Child Health
ANOVA), and multivariable linear regressionResults: Diagnostic coverage increased from 41% (95% CI 38–44) to 97% (95% CI 95–98). Confirmed malaria cases rose 5.6-fold, a change
Jimma University · Ethiopia · Malaria Research and Control
using microscopy is not feasible. This study aimed to evaluate the diagnostic performance of NxTek™ Eliminate Malaria-Pf test, Biocredit RDTs Pf(pLDH/HRP2) and Pf/Pv(pLDH/pLDH
Woldia University · Ethiopia · Malaria Research and Control
knock-down and mortality rate in the wild malaria vectors collected in Gondar zuria woreda, Northwest Ethiopia. The WHO diagnostic doses of 0.75% permethrin, 0.05% deltamethrin, 0.05% alpha
University of Buea · Cameroon · Malaria Research and Control
Malaria causes around 250 million cases and over 600,000 deaths annually, with the
Kyambogo University · Uganda · Digital Imaging for Blood Diseases
treatment and prevention, malaria continues to cause substantial morbidity and mortality, particularly among vulnerable populations such as children and pregnant women. Although effective, traditional diagnostic methods, such
Technical University of Mombasa · Kenya · Antibiotic Use and Resistance
Antimicrobial resistant pathogens are a leading cause of morbidity and mortality worldwide, with overuse
University of Buea · Cameroon · Salmonella and Campylobacter epidemiology
minors. Data were collected using a structured case report form (CRF). Malaria diagnosis involved a rapid diagnostic test (RDT) for screening, followed by confirmation with thick blood smear
Ladoke Akintola University of Technology · Nigeria · COVID-19 diagnosis using AI
learning applications in medical diagnostics. METHOD: This study developed an ensemble machine learning model to detect Lassa fever and distinguish it from malaria using clinical datasets collected from
Open University of Tanzania · Tanzania · Malaria Research and Control
were conducted using structured questionnaires, to collect anthropometric, clinical, parasitological (testing for malaria using rapid diagnostic tests (RDTs), type of house and socio-economic status (SES) data. Modified
University of Ibadan · Nigeria · Data-Driven Disease Surveillance
collection methods and formats impedes the integration of comprehensive malaria data from various sources. The incorporation of diagnostic tools within telemedicine, such as digital microscopy and remote sensing
Université de Yaoundé I · Cameroon · Malaria Research and Control
Abstract Malaria control efforts are stagnating, primarily due to increasing pyrethroid resistance in malaria
Parasites and Host Interactions
Background: Schistosomiasis, Leprosy, Leishmaniasis, Malaria, Trypanosomiasis and Filariasis are the six major tropical diseases
Gondar University · Ethiopia · Digital Imaging for Blood Diseases
malaria cases and 619,000 malaria deaths worldwide. Despite early and accurate diagnosis being essential for limiting public health challenges, existing conventional diagnostic techniques face many overwhelming challenges
Kwame Nkrumah University · Zambia
ongoing national training efforts stress the need for improved diagnostics. This study evaluated miLab™, an AI-assisted automated malaria detection platform, using nested PCR (nPCR) as the reference
Kwame Nkrumah University · Zambia
ongoing national training efforts stress the need for improved diagnostics. This study evaluated miLab™, an AI-assisted automated malaria detection platform, using nested PCR (nPCR) as the reference
Kwame Nkrumah University · Zambia · Malaria Research and Control
ongoing national training efforts stress the need for improved diagnostics. This study evaluated miLab ™ , an AI-assisted automated malaria detection platform, using nested PCR (nPCR) as the reference
Moi University · Kenya · Malaria Research and Control
expansion of the World Health Organization’s guidelines on eligibility for the seasonal malaria chemoprevention (SMC), the government of Kenya prepared to implement SMC for a first time
Carnegie Mellon University Africa · Rwanda · Digital Imaging for Blood Diseases
research contributes to the development of computer-aided diagnostic tools tailored for regions with limited resources, aiming to enhance malaria control strategies in developing areas
Université de Yaoundé I · Cameroon · Malaria Research and Control
respond to the malaria first line medication. To determine the prevalence of malaria infection among patients suspected of typhoid fever in the Bamenda and Bafousam regional hospitals. Methodology
Makerere University · Uganda · Clinical Laboratory Practices and Quality Control
Introduction: Clinical laboratory services are a critical component of the health system for effective
Malaria Research and Control
Systematically, blood samples were collected from patients with malaria. The malaria status was screened with a rapid diagnostic test (RDT) kit (CareStart manufactured by Access Bio in Somerset
University of Dar es Salaam · Tanzania · Malaria Research and Control
facilities in all 26 regions of Tanzania. All patients were tested for malaria using rapid diagnostic tests (RDTs). For this study, patients with fever who tested negative
University of Bamenda · Cameroon · Malaria Research and Control
patients attending three health facilities in the Mbouda Health District to support improved malaria control strategies in the area. The study was conducted among patients attending three healthcare
