Modern Technology in Malaria Prevention, Diagnosis, and Treatment
Malaria remains a significant global health challenge, particularly in tropical and subtropical regions. In 2022, an estimated 249 million malaria cases and 608,000 deaths were reported worldwide, with the WHO African Region bearing the highest burden. Nigeria, accounting for 27% of global malaria...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Family Medicine, National Postgraduate Medical College Nigeria
2024-09-01
|
| Series: | Nigerian Frontline Medicine Journal |
| Subjects: | |
| Online Access: | http://nfmjournal.org/index.php/nfmj/article/view/27 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850035350301310976 |
|---|---|
| author | Abdulhakeen B. Bello Daniel A. Adepoju Abdulhakeen A. Ahmed |
| author_facet | Abdulhakeen B. Bello Daniel A. Adepoju Abdulhakeen A. Ahmed |
| author_sort | Abdulhakeen B. Bello |
| collection | DOAJ |
| description |
Malaria remains a significant global health challenge, particularly in tropical and subtropical regions. In 2022, an estimated 249 million malaria cases and 608,000 deaths were reported worldwide, with the WHO African Region bearing the highest burden. Nigeria, accounting for 27% of global malaria cases, faces severe public health challenges due to the disease. This review examines the role of modern technology in malaria control, focusing on its impact on surveillance, diagnosis, prevention, and treatment. Web-based platforms, mobile applications, Geographic Informa on Systems (GIS), and machine learning have revolutionized malaria surveillance, enabling real- me data collection, mapping, and predictive modeling. Innovations in diagnostic tools, such as Rapid Diagnostic Tests (RDTs), microscopy, molecular diagnostics, and artificial intelligence (AI), have enhanced diagnostic accuracy and accessibility. Preventive measures, including insecticide-treated bed nets (ITNs), indoor residual spraying (IRS), drone-based technologies, and vaccine development, have significantly contributed to reducing malaria transmission. Artemisinin-based combination therapies (ACTs), mobile health (mHealth) technologies, and AI-driven drug discovery have improved malaria treatment and management. Despite progress, challenges such as drug resistance, insecticide resistance, and limited access to healthcare persist. Continued investment in research, strengthening health systems, and fostering collaboration are essential for achieving malaria elimination. Integra ng modern technologies into healthcare delivery can enhance malaria control efforts, reduce morbidity and mortality, and contribute to a malaria-free world.
|
| format | Article |
| id | doaj-art-dddfd3558ebb46558aa8a1a68ac669ea |
| institution | DOAJ |
| issn | 2636-6487 2354-3310 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Faculty of Family Medicine, National Postgraduate Medical College Nigeria |
| record_format | Article |
| series | Nigerian Frontline Medicine Journal |
| spelling | doaj-art-dddfd3558ebb46558aa8a1a68ac669ea2025-08-20T02:57:30ZengFaculty of Family Medicine, National Postgraduate Medical College NigeriaNigerian Frontline Medicine Journal2636-64872354-33102024-09-0121Modern Technology in Malaria Prevention, Diagnosis, and TreatmentAbdulhakeen B. Bello0Daniel A. Adepoju1Abdulhakeen A. Ahmed2University of the West of England; Iyiola Hospital, Ile-Ife, Osun State, NigeriaIyiola Hospital, Ile-Ife, Osun State; University of Medical Sciences, OndoIyiola Hospital, Ile-Ife, Osun State; Obafemi Awolowo University Teaching Hospital Complex, Ile-Ife, Osun State Malaria remains a significant global health challenge, particularly in tropical and subtropical regions. In 2022, an estimated 249 million malaria cases and 608,000 deaths were reported worldwide, with the WHO African Region bearing the highest burden. Nigeria, accounting for 27% of global malaria cases, faces severe public health challenges due to the disease. This review examines the role of modern technology in malaria control, focusing on its impact on surveillance, diagnosis, prevention, and treatment. Web-based platforms, mobile applications, Geographic Informa on Systems (GIS), and machine learning have revolutionized malaria surveillance, enabling real- me data collection, mapping, and predictive modeling. Innovations in diagnostic tools, such as Rapid Diagnostic Tests (RDTs), microscopy, molecular diagnostics, and artificial intelligence (AI), have enhanced diagnostic accuracy and accessibility. Preventive measures, including insecticide-treated bed nets (ITNs), indoor residual spraying (IRS), drone-based technologies, and vaccine development, have significantly contributed to reducing malaria transmission. Artemisinin-based combination therapies (ACTs), mobile health (mHealth) technologies, and AI-driven drug discovery have improved malaria treatment and management. Despite progress, challenges such as drug resistance, insecticide resistance, and limited access to healthcare persist. Continued investment in research, strengthening health systems, and fostering collaboration are essential for achieving malaria elimination. Integra ng modern technologies into healthcare delivery can enhance malaria control efforts, reduce morbidity and mortality, and contribute to a malaria-free world. http://nfmjournal.org/index.php/nfmj/article/view/27MalariaSurveillanceDiagnosisPreventionTreatmentModern technology |
| spellingShingle | Abdulhakeen B. Bello Daniel A. Adepoju Abdulhakeen A. Ahmed Modern Technology in Malaria Prevention, Diagnosis, and Treatment Nigerian Frontline Medicine Journal Malaria Surveillance Diagnosis Prevention Treatment Modern technology |
| title | Modern Technology in Malaria Prevention, Diagnosis, and Treatment |
| title_full | Modern Technology in Malaria Prevention, Diagnosis, and Treatment |
| title_fullStr | Modern Technology in Malaria Prevention, Diagnosis, and Treatment |
| title_full_unstemmed | Modern Technology in Malaria Prevention, Diagnosis, and Treatment |
| title_short | Modern Technology in Malaria Prevention, Diagnosis, and Treatment |
| title_sort | modern technology in malaria prevention diagnosis and treatment |
| topic | Malaria Surveillance Diagnosis Prevention Treatment Modern technology |
| url | http://nfmjournal.org/index.php/nfmj/article/view/27 |
| work_keys_str_mv | AT abdulhakeenbbello moderntechnologyinmalariapreventiondiagnosisandtreatment AT danielaadepoju moderntechnologyinmalariapreventiondiagnosisandtreatment AT abdulhakeenaahmed moderntechnologyinmalariapreventiondiagnosisandtreatment |