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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Individual and household-level determinants of malaria infection in under-5 children from north-west and southern Nigeria : A cross-sectional comparative study based on the 2015 Nigeria Malaria Indicator Survey

Allwell-Brown, Gbemisola January 2017 (has links)
Introduction Nigeria has the highest malaria burden worldwide. The 2010 and 2015 Nigeria Malaria Indicator Surveys (NMIS) suggest an improvement in malaria indicators, with the North West zone lagging behind. This study aimed to identify the individual and household-level malaria determinants in north-west and southern Nigeria, using Rapid Diagnostic Testing (RDT) and microscopy for malaria diagnosis. Methods Data on 3,358 children aged 6-59 months from north-west and southern Nigeria from the 2015 NMIS was used. The two populations were compared using chi-square tests, and logistic regression analysis was done for determinants of malaria infection, based on RDT and microscopic malaria test results. Results Malaria prevalence by RDT in the north-west and south was 55.8% and 29.2%, respectively (37.0% and 14.9%, respectively by microscopy). In both populations, a higher age, positive RDT in an additional household member and rural residence increased the odds of malaria infection; while higher education of the head of household and greater household wealth lowered the odds of malaria infection. Household clustering of RDT-positive cases appeared to be stronger in the south compared to the north-west. There were no statistically significant differences between the results using RDT or microscopy. Conclusion Irrespective of the diagnostic tool used, malaria determinants were similar in north-west and southern Nigeria. However, poorer social circumstances were observed in the north-west, and may account for the delayed progress in malaria control in the region. There may be a need to intensify malaria control efforts, particularly in the north-west, while awaiting socio-economic development.
12

Plasmodium falciparum Histidine-rich Protein 2 Gene Variation and Malaria Detection in Madagascar and Papua New Guinea

Willie, Nigani 04 June 2018 (has links)
No description available.
13

Potential application of digitally linked tuberculosis diagnostics for real-time surveillance of drug-resistant tuberculosis transmission: Validation and analysis of test results

Ng, K.C., Meehan, Conor J., Torrea, G., Goeminne, L., Diels, M., Rigouts, L., de Jong, B.C., André, E. 24 September 2019 (has links)
Yes / Background: Tuberculosis (TB) is the highest-mortality infectious disease in the world and the main cause of death related to antimicrobial resistance, yet its surveillance is still paper-based. Rifampicin-resistant TB (RR-TB) is an urgent public health crisis. The World Health Organization has, since 2010, endorsed a series of rapid diagnostic tests (RDTs) that enable rapid detection of drug-resistant strains and produce large volumes of data. In parallel, most high-burden countries have adopted connectivity solutions that allow linking of diagnostics, real-time capture, and shared repository of these test results. However, these connected diagnostics and readily available test results are not used to their full capacity, as we have yet to capitalize on fully understanding the relationship between test results and specific rpoB mutations to elucidate its potential application to real-time surveillance. Objective: We aimed to validate and analyze RDT data in detail, and propose the potential use of connected diagnostics and associated test results for real-time evaluation of RR-TB transmission. Methods: We selected 107 RR-TB strains harboring 34 unique rpoB mutations, including 30 within the rifampicin resistance–determining region (RRDR), from the Belgian Coordinated Collections of Microorganisms, Antwerp, Belgium. We subjected these strains to Xpert MTB/RIF, GenoType MTBDRplus v2.0, and Genoscholar NTM + MDRTB II, the results of which were validated against the strains’ available rpoB gene sequences. We determined the reproducibility of the results, analyzed and visualized the probe reactions, and proposed these for potential use in evaluating transmission. Results: The RDT probe reactions detected most RRDR mutations tested, although we found a few critical discrepancies between observed results and manufacturers’ claims. Based on published frequencies of probe reactions and RRDR mutations, we found specific probe reactions with high potential use in transmission studies: Xpert MTB/RIF probes A, Bdelayed, C, and Edelayed; Genotype MTBDRplus v2.0 WT2, WT5, and WT6; and Genoscholar NTM + MDRTB II S1 and S3. Inspection of probe reactions of disputed mutations may potentially resolve discordance between genotypic and phenotypic test results. Conclusions: We propose a novel approach for potential real-time detection of RR-TB transmission through fully using digitally linked TB diagnostics and shared repository of test results. To our knowledge, this is the first pragmatic and scalable work in response to the consensus of world-renowned TB experts in 2016 on the potential of diagnostic connectivity to accelerate efforts to eliminate TB. This is evidenced by the ability of our proposed approach to facilitate comparison of probe reactions between different RDTs used in the same setting. Integrating this proposed approach as a plug-in module to a connectivity platform will increase usefulness of connected TB diagnostics for RR-TB outbreak detection through real-time investigation of suspected RR-TB transmission cases based on epidemiologic linking. / KCN was supported by Erasmus Mundus Joint Doctorate Fellowship grant 2016-1346, and BCdJ, LR, and CJM were supported by European Research Council-INTERRUPTB starting grant 311725.

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