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Dembélé P, Cissoko M, Diarra AZ, Doumbia L, Koné A, Magassa MH, Mehadji M, Thera MA, Ranque S. Evaluation of the Performance of Rapid Diagnostic Tests for Malaria Diagnosis and Mapping of Different Plasmodium Species in Mali. Int J Environ Res Public Health 2024; 21:228. [PMID: 38397717 PMCID: PMC10888130 DOI: 10.3390/ijerph21020228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND The first-line diagnosis of malaria in Mali is based on the use of rapid diagnostic tests (RDT) that detect the Histidin Rich Protein 2 (HRP2) antigen specific to Plasmodium falciparum. Our study, based on a real-time polymerase chain reaction (qPCR) gold standard, aimed to describe the distribution of the Plasmodium species in each administrative region of Mali and to assess the performance of RDTs. METHODS We randomly selected 150 malaria-negative and up to 30 malaria-positive RDTs in 41 sites distributed in 9 regions of Mali. DNA extracted from the RDT nitrocellulose strip was assayed with a pan-Plasmodium qPCR. Positive samples were then analyzed with P. falciparum-, P. malariae-, P. vivax-, or P. ovale-specific qPCRs. RESULTS Of the 1496 RDTs, 258 (18.6%) were positive for Plasmodium spp., of which 96.9% were P. falciparum. The P. vivax prevalence reached 21.1% in the north. RDT displayed acceptable diagnostic indices; the lower CI95% bounds of Youden indices were all ≥0.50, except in the north (Youden index 0.66 (95% CI [0.44-0.82]) and 0.63 (95% CI [0.33-0.83]. CONCLUSIONS Overall, RDT diagnostic indices are adequate for the biological diagnosis of malaria in Mali. We recommend the use of RDTs detecting P. vivax-specific antigens in the north.
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Affiliation(s)
- Pascal Dembélé
- Institut Hospitalo-Universitaire Méditerranée Infection (IHU), Aix Marseille Université, 13005 Marseille, France; (P.D.); (A.Z.D.); (L.D.); (M.M.)
- Aix-Marseille University, IRD, AP-HM, SSA, VITROME, 13005 Marseille, France
- Programme National de Lutte Contre le Paludisme (PNLP), Bamako BP 233, Mali; (M.C.); (M.H.M.)
| | - Mady Cissoko
- Programme National de Lutte Contre le Paludisme (PNLP), Bamako BP 233, Mali; (M.C.); (M.H.M.)
- Malaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako BP 1805, Mali;
| | - Adama Zan Diarra
- Institut Hospitalo-Universitaire Méditerranée Infection (IHU), Aix Marseille Université, 13005 Marseille, France; (P.D.); (A.Z.D.); (L.D.); (M.M.)
- Aix-Marseille University, IRD, AP-HM, SSA, VITROME, 13005 Marseille, France
| | - Lassana Doumbia
- Institut Hospitalo-Universitaire Méditerranée Infection (IHU), Aix Marseille Université, 13005 Marseille, France; (P.D.); (A.Z.D.); (L.D.); (M.M.)
- Laboratoire de Biologie Moléculaire Appliquée (LBMA), Université des Sciences, des Techniques et des Technologies de Bamako, Badalabougou, Bamako BP 423, Mali;
| | - Aïssata Koné
- Laboratoire de Biologie Moléculaire Appliquée (LBMA), Université des Sciences, des Techniques et des Technologies de Bamako, Badalabougou, Bamako BP 423, Mali;
| | - Mahamadou H. Magassa
- Programme National de Lutte Contre le Paludisme (PNLP), Bamako BP 233, Mali; (M.C.); (M.H.M.)
| | - Maissane Mehadji
- Institut Hospitalo-Universitaire Méditerranée Infection (IHU), Aix Marseille Université, 13005 Marseille, France; (P.D.); (A.Z.D.); (L.D.); (M.M.)
- Aix-Marseille University, IRD, AP-HM, SSA, VITROME, 13005 Marseille, France
| | - Mahamadou A. Thera
- Malaria Research and Training Center (MRTC), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako BP 1805, Mali;
| | - Stéphane Ranque
- Institut Hospitalo-Universitaire Méditerranée Infection (IHU), Aix Marseille Université, 13005 Marseille, France; (P.D.); (A.Z.D.); (L.D.); (M.M.)
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Molia S, Samaké K, Diarra A, Sidibé MS, Doumbia L, Camara S, Kanté S, Kamissoko B, Diakité A, Gil P, Hammoumi S, de Almeida RS, Albina E, Grosboisa V. Avian influenza and Newcastle disease in three risk areas for H5N1 highly pathogenic avian influenza in Mali, 2007-2008. Avian Dis 2012; 55:650-8. [PMID: 22312986 DOI: 10.1637/9775-050911-reg.1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Our survey aimed to investigate avian influenza (AI) and Newcastle disease (ND) prevalence and risk factors in three areas of Mali at risk for occurrence of H5N1 highly pathogenic avian influenza. Blood samples and cloacal and oropharyngeal swabs were collected from 1470 birds between February 2007 and May 2008 and were tested by commercial enzyme-linked immunosorbent assay to detect antibodies and real-time reverse-transcription (rRT)-PCR to detect virus. Risk factors associated with seropositivity or positive rRT-PCR were identified by random effect logistic regression. AI seroprevalence was significantly lower in birds from commercial farms (0%) than in village backyard birds (3.1%). For backyard birds, no individual risk factors (species, age, sex) were identified, but birds in the Mopti area in the Sahelian zone, where millions of wild birds migrate, were more seropositive than in the Sikasso area in the Sudano-Guinean zone (odds ratio [OR] = 2.0, P = 0.051). Among backyard birds nonvaccinated against ND, ND seroprevalence was 58.4%, and the odds of seropositivity was 2.0 higher in chickens than in ducks, 1.7 higher in females than in males, 3.1 higher in adults than in young birds, and 3.0 higher in poultry from the Sikasso area than from the Mopti area (P < 0.01 in all cases). Prevalence established by rRT-PCR was low for both AI virus (1.1%) and ND virus (2.6%) and was associated with no risk factors for AI but was higher in chickens than in ducks (OR = 5.3, P = 0.05) and in the Sikasso area than in the Mopti area (OR = 3.4, P = 0.027) for ND. For AI and ND, prevalence assessed by serology or rRT-PCR varied over time, although seasonal and interannual variation could not be clearly distinguished. The intracluster correlation coefficient for serologic data was low for AI (0.014) and higher for ND (0.222). These results are useful to optimize surveillance and control strategy for notifiable avian diseases in African countries with similar agroecological and resource-limited contexts.
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Affiliation(s)
- S Molia
- CIRAD, UPR AGIRs, Campus International de Baillarguet, F-34398 Montpellier, France.
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