Akinjide Anifowose

Publications

MY PUBLICATIONS

My research contributions span parasitology, molecular biology, and bioinformatics, focusing on infectious disease diagnostics, vector control, and genomic data analysis. The following publications reflect my commitment to applying both experimental and computational approaches to address public health challenges in tropical medicine.

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Anifowose, A. S., Adeyemo, T. M., & Thomas, O. (2025)

Comparative Diagnostic Performance of Microscopy and PCR for Detecting Submicroscopic Plasmodium falciparum Infections.

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Anifowose, A.S.

In Silico Analysis of Differential Gene Expression in Pediatric Malaria Using African Transcriptomic Datasets

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Anifowose, A.S.

Analysis of submicroscopic Plasmodium falciparum infections (infections that cannot be detected using standard light microscopy ...

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Anifowose, A.S.

Cholera Data Visualization Dashboard.
Cholera is a highly contagious bacterial disease primarily transmitted through contaminated water or food. This dashboard provides a comprehensive overview of global cholera outbreaks since 1949, serving as a valuable resource for researchers, public health officials, and anyone interested in understanding the global impact of cholera.

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Anifowose, A.S.

Malaria Detector Project

This project explores the detection of Plasmodium falciparum infections using two diagnostic methods: microscopy and PCR. Adoption of molecular techniques (PCR) has revealed many low-density, transmissible infections that are often missed by microscopy (submicroscopic infections). The analysis aims to compare detection rates, compute prevalence ratios, and visualize how submicroscopic infections vary across global malaria regions.

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Anifowose, A.S.

Submicroscopic Plasmodium falciparum Detection Analysis II

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Anifowose, A.S.

Transcriptomic Profiling of Staphylococcus aureus During Acute vs Chronic Phases of Periprosthetic Joint Infection (PJI)

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Anifowose, A.S.

South African Polony AMR Identification.

This report details the whole-genome sequencing (WGS) analysis of bacterial isolates from the 2017-2018 South African listeriosis outbreak, one of the largest recorded outbreaks of its kind with a devastating 27% case fatality rate. Genomic analysis confirmed the causative agent as Listeria monocytogenes, characterized its antimicrobial resistance (AMR) profile, identified key virulence factors, and provided evidence-based treatment recommendations to guide public health response.