| Literature DB >> 26064668 |
T V Dougnon1, H S Bankole1, Y M G Hounmanou1, S Echebiri2, P Atchade1, J Mohammed3.
Abstract
Malaria is a major disease in Africa and leads to various public health problems. A study was carried out at the Aviation Medical Clinic Laboratory, Murtala Mohammed Airport, Ikeja, Lagos State, Nigeria, in 2014. The work aimed to determine the prevalence of malaria among patients attending the laboratory. Blood samples were therefore collected from 51 patients and subjected to both blood smear microscopy and a rapid immunochromatographic diagnostic test (SD BIOLINE Malaria Ag) for detection of, respectively, malaria parasites and antigens. At the end of the study, 22% of the patients were detected positive by the microscopic examination while 9.8% were tested positive when using SD BIOLINE Malaria Ag. The outcomes of the study show a high prevalence of malaria at the airport. This represents a serious risk factor leading to a high likelihood of spread and occurrence of malaria in other countries including Western countries whereby the disease is nonendemic. It also pointed out that the blood smear microscopy seems to be better than Rapid Diagnosis Test (RDT) for malaria diagnosis.Entities:
Year: 2015 PMID: 26064668 PMCID: PMC4443890 DOI: 10.1155/2015/108707
Source DB: PubMed Journal: J Parasitol Res ISSN: 2090-0023
Age distribution of people enrolled in the study.
| Age groups (years) | Total | |||
|---|---|---|---|---|
| 4-5 | 6–17 | ≥18 | ||
| Gender | ||||
| Male | 1 | 4 | 18 | 23 |
| Female | 1 | 4 | 23 | 28 |
| Total | 2 | 8 | 41 | 51 |
Figure 1Prevalence of malaria at Aviation Medical Clinic, Murtala Mohammed Airport, Ikeja, Lagos State, Nigeria.
Figure 2Prevalence of malaria according to patients' gender using microscopy.
2 × 2 contingency table for assessing the RDT's performance.
| Microscopy + | Microscopy − | Total | |
|---|---|---|---|
| RDT+ | 5 | 0 | 5 |
| RDT− | 6 | 40 | 46 |
| Total | 11 | 40 | 51 |
Accuracy parameters of the RDT using the slide microscopy as gold standard.
| Accuracy measures | Values |
|---|---|
| Sensitivity | 45.45% |
| Specificity | 100% |
| Positive predictive value | 100% |
| Negative predictive value | 86.95% |