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      Molecular quantification of Plasmodium parasite density from the blood retained in used RDTs

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          Abstract

          Most malaria-endemic countries are heavily reliant upon rapid diagnostic tests (RDT) for malaria case identification and treatment. RDT previously used for malaria diagnosis can subsequently be used for molecular assays, including qualitative assessment of parasite species present or the carriage of resistance markers, because parasite DNA can be extracted from the blood inside the RDT which remains preserved on the internal components. However, the quantification of parasite density has not previously been possible from used RDT. In this study, blood samples were collected from school-age children in Western Kenya, in the form of both dried blood spots on Whatman filter paper, and the blood spot that is dropped into rapid diagnostic tests during use. Having first validated a robotic DNA extraction method, the parasite density was determined from both types of sample by duplex qPCR, and across a range of densities. The methods showed good agreement. The preservation of both parasite and human DNA on the nitrocellulose membrane inside the RDT was stable even after more than one year’s storage. This presents a useful opportunity for researchers or clinicians wishing to gain greater information about the parasite populations that are being studied, without significant investment of resources.

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          Update on rapid diagnostic testing for malaria.

          To help mitigate the expanding global impact of malaria, with its associated increasing drug resistance, implementation of prompt and accurate diagnosis is needed. Malaria is diagnosed predominantly by using clinical criteria, with microscopy as the current gold standard for detecting parasitemia, even though it is clearly inadequate in many health care settings. Rapid diagnostic tests (RDTs) have been recognized as an ideal method for diagnosing infectious diseases, including malaria, in recent years. There have been a number of RDTs developed and evaluated widely for malaria diagnosis, but a number of issues related to these products have arisen. This review highlights RDTs, including challenges in assessing their performance, internationally available RDTs, their effectiveness in various health care settings, and the selection of RDTs for different health care systems.
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            The evidence for improving housing to reduce malaria: a systematic review and meta-analysis

            Background The global malaria burden has fallen since 2000, sometimes before large-scale vector control programmes were initiated. While long-lasting insecticide-treated nets and indoor residual spraying are highly effective interventions, this study tests the hypothesis that improved housing can reduce malaria by decreasing house entry by malaria mosquitoes. Methods A systematic review and meta-analysis was conducted to assess whether modern housing is associated with a lower risk of malaria than traditional housing, across all age groups and malaria-endemic settings. Six electronic databases were searched to identify intervention and observational studies published from 1 January, 1900 to 13 December, 2013, measuring the association between house design and malaria. The primary outcome measures were parasite prevalence and incidence of clinical malaria. Crude and adjusted effects were combined in fixed- and random-effects meta-analyses, with sub-group analyses for: overall house type (traditional versus modern housing); screening; main wall, roof and floor materials; eave type; ceilings and elevation. Results Of 15,526 studies screened, 90 were included in a qualitative synthesis and 53 reported epidemiological outcomes, included in a meta-analysis. Of these, 39 (74 %) showed trends towards a lower risk of epidemiological outcomes associated with improved house features. Of studies assessing the relationship between modern housing and malaria infection (n = 11) and clinical malaria (n = 5), all were observational, with very low to low quality evidence. Residents of modern houses had 47 % lower odds of malaria infection compared to traditional houses (adjusted odds ratio (OR) 0°53, 95 % confidence intervals (CI) 0°42–0°67, p < 0°001, five studies) and a 45–65 % lower odds of clinical malaria (case–control studies: adjusted OR 0°35, 95 % CI 0°20–0°62, p <0°001, one study; cohort studies: adjusted rate ratio 0°55, 95 % CI 0°36–0°84, p = 0°005, three studies). Evidence of a high risk of bias was found within studies. Conclusions Despite low quality evidence, the direction and consistency of effects indicate that housing is an important risk factor for malaria. Future research should evaluate the protective effect of specific house features and incremental housing improvements associated with socio-economic development. Electronic supplementary material The online version of this article (doi:10.1186/s12936-015-0724-1) contains supplementary material, which is available to authorized users.
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              Comparison of diagnostics for the detection of asymptomatic Plasmodium falciparum infections to inform control and elimination strategies.

              The global burden of malaria has been substantially reduced over the past two decades. Future efforts to reduce malaria further will require moving beyond the treatment of clinical infections to targeting malaria transmission more broadly in the community. As such, the accurate identification of asymptomatic human infections, which can sustain a large proportion of transmission, is becoming a vital component of control and elimination programmes. We determined the relationship across common diagnostics used to measure malaria prevalence - polymerase chain reaction (PCR), rapid diagnostic test and microscopy - for the detection of Plasmodium falciparum infections in endemic populations based on a pooled analysis of cross-sectional data. We included data from more than 170,000 individuals comparing the detection by rapid diagnostic test and microscopy, and 30,000 for detection by rapid diagnostic test and PCR. The analysis showed that, on average, rapid diagnostic tests detected 41% (95% confidence interval = 26-66%) of PCR-positive infections. Data for the comparison of rapid diagnostic test to PCR detection at high transmission intensity and in adults were sparse. Prevalence measured by rapid diagnostic test and microscopy was comparable, although rapid diagnostic test detected slightly more infections than microscopy. On average, microscopy captured 87% (95% confidence interval = 74-102%) of rapid diagnostic test-positive infections. The extent to which higher rapid diagnostic test detection reflects increased sensitivity, lack of specificity or both, is unclear. Once the contribution of asymptomatic individuals to the infectious reservoir is better defined, future analyses should ideally establish optimal detection limits of new diagnostics for use in control and elimination strategies.
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                Author and article information

                Contributors
                ailie.robinson@lshtm.ac.uk
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 March 2019
                25 March 2019
                2019
                : 9
                : 5107
                Affiliations
                [1 ]ISNI 0000 0004 0425 469X, GRID grid.8991.9, London School of Hygiene and Tropical Medicine, ; Keppel Street, London, WC1E 7HT United Kingdom
                [2 ]ISNI 0000 0001 0791 5666, GRID grid.4818.5, Laboratory of Entomology, , Wageningen University & Research, ; 6708 PB Wageningen, The Netherlands
                [3 ]ISNI 0000 0004 1794 5158, GRID grid.419326.b, International Centre of Insect Physiology and Ecology, ; Nairobi, Kenya
                [4 ]ISNI 0000 0001 2227 9389, GRID grid.418374.d, Computational and Analytical Sciences, , Rothamsted Research, Harpenden, ; Hertfordshire, AL5 2JQ United Kingdom
                [5 ]ISNI 0000 0004 1794 5158, GRID grid.419326.b, Animal Health, International Centre of Insect Physiology and Ecology, ; PO Box 30772-00100, Nairobi, Kenya
                [6 ]ISNI 0000 0004 0444 9382, GRID grid.10417.33, Medical Microbiology, , Radboud University Medical Centre, ; Geert Grooteplein 26-28, 6525 GA Nijmegen, The Netherlands
                [7 ]Present Address: Department of Biological and Agricultural Sciences, Kaimosi Friends University College, a constituent college of Masinde Muliro University of Science and Technology, Kaimosi, Kenya
                [8 ]Present Address: Rylands Farm, East Lambrook Road, South Petherton, Somerset, TA13 5HP United Kingdom
                [9 ]ISNI 0000 0001 1013 0288, GRID grid.418375.c, Present Address: Netherlands Institute of Ecology, ; 6708 PB Wageningen, The Netherlands
                Author information
                http://orcid.org/0000-0001-7513-0887
                http://orcid.org/0000-0001-5108-8362
                http://orcid.org/0000-0003-1592-6407
                Article
                41438
                10.1038/s41598-019-41438-0
                6434039
                30911048
                3ecb04a9-a5bf-45b4-80b2-0bdf6ccc40a4
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 January 2019
                : 5 March 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001826, ZonMw (Netherlands Organisation for Health Research and Development);
                Award ID: 91211038
                Award ID: 91211038
                Award ID: 91211038
                Award ID: 91211038
                Award ID: 91211038
                Award Recipient :
                Funded by: UNITAID-funded Access-SMC project
                Funded by: FundRef https://doi.org/10.13039/501100003246, Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research);
                Award ID: 016.158.306
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100002141, Public Health England (PHE);
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