| Literature DB >> 26689195 |
Maha A Elbadry1,2, Basima Al-Khedery3, Massimiliano S Tagliamonte4, Charles A Yowell5, Christian P Raccurt6, Alexandre Existe7, Jacques Boncy8, Thomas A Weppelmann9,10, Valery E M Beau De Rochars11,12,13, Jean F Lemoine14, Bernard A Okech15,16, John B Dame17,18.
Abstract
BACKGROUND: Public health measures are poised for transition from malaria control to malaria elimination on the island of Hispaniola. Assessment of the reservoir of asymptomatic infections from which acute malaria cases may derive is critical to plan and evaluate elimination efforts. Current field technology is ill suited for detecting sub-microscopic infections, thus highly sensitive survey methods capable of detecting virtually all infections are needed. In this study the prevalence of infection with Plasmodium falciparum was determined in patients seeking medical care primarily for non-febrile conditions in six departments in Haiti using a newly designed qRT-PCR-based assay.Entities:
Mesh:
Year: 2015 PMID: 26689195 PMCID: PMC4687167 DOI: 10.1186/s12936-015-1051-2
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Geographic location of enrollment sites
Fig. 2Estimating parasitaemia by qRT-PCR in field samples using standard curves generated from in vitro cultured ring stage parasites. a Standard curve by serial blood dilution; b standard curve combined serial dilution of blood and RNA; c distribution of positive samples by parasitaemia
Performance of qRT-PCR compared to microscopy, and RDT with blood sample obtained from asymptomatic population
| Location | RDT | Slide | RT-PCR | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Department | (n) | No. Pos. | % Pos. | (n) | No. Pos. | % Pos. | (n) | No. Pos. | % Pos. |
| Artibonite | 108 | 0 | 0 | 108 | 0 | 0 | 108 | 3 | 2.8 |
| Central Plateau | 122 | 0 | 0 | 122 | 0 | 0 | 122 | 6 | 4.9 |
| Grand Anse | 194 | 10 | 5.1 | 194 | 14 | 7.1 | 194 | 79 | 40.7 |
| Nord | 39 | 0 | 0 | 39 | 1 | 2.6 | 39 | 10 | 25.6 |
| Ouest | 63 | 0 | 0 | 63 | 0 | 0 | 63 | 2 | 3.2 |
| Sud-Est | 37 | 1 | 2.7 | 37 | 2 | 5.4 | 37 | 8 | 21.6 |
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Logistic analysis of demographic factors for malaria parasite transmission
| Exposure factors | Survey response | n | Proportion | Likelihood of positive qRT-PCR result | |||
|---|---|---|---|---|---|---|---|
| OR | P value | 95% CI | OR | ||||
| Bednet use | No | 482 | 35.1 | Ref | – | – | – |
| Yes | 64.9 | 1.49 | 0.099 | 0.927 | 2.409 | ||
| Insecticide use | No | 435 | 78.2 | Ref | – | – | – |
| Yes | 21.8 | 0.93 | 0.803 | 0.528 | 1.639 | ||
| Sleeping outside | No | 450 | 62 | Ref | – | – | – |
| Yes | 38 | 1.35 | 0.192 | 0.861 | 2.116 | ||
| Has window nets | No | 462 | 90.7 | Ref | – | – | – |
| Yes | 9.3 | 1.08 | 0.845 | 0.512 | 2.267 | ||
| Travel history | No | 510 | 46 | Ref | – | – | – |
| Yes | 54 | 0.53 | 0.004 | 0.345 | 0.817 | ||
| Knowledge of malaria | No | 490 | 61.2 | Ref | – | – | – |
| Yes | 38.8 | 1.79 | 0.009 | 1.154 | 2.782 | ||
| History of infection | No | 502 | 79.7 | Ref | – | – | – |
| Yes | 20.3 | 2.12 | 0.003 | 1.297 | 3.460 | ||
| Household member infected | No | 355 | 70.1 | Ref | – | – | – |
| Yes | 29.9 | 2.21 | 0.002 | 1.339 | 3.633 | ||
| History of treatment | No | 387 | 73.9 | Ref | – | – | – |
| Yes | 26.1 | 2.13 | 0.003 | 1.284 | 3.538 | ||