Field evaluation of a new antibody-based diagnostic for Schistosoma haematobium and S. mansoni at the point-of-care in northeast Zimbabwe

BACKGROUND: Rapid diagnostic tests (RDTs) for use at the point-of-care (POC) are likely to become increasingly useful as large-scale control programmes for schistosomiasis get underway. Given the low sensitivity of the reference standard egg count methods in detecting light infections, more sensitive tests will be required to monitor efforts aimed at eliminating schistosomiasis as advocated by the World Health Assembly Resolution 65.21 passed in 2012. METHODS: A recently developed RDT incorporating Schistosoma mansoni cercarial transformation fluid (SmCTF) for detection of anti-schistosome antibodies in human blood was here evaluated in children (mean age: 7.65 years; age range: 1-12 years) carrying light S. mansoni and S. haematobium infections in a schistosome-endemic area of Zimbabwe by comparison to standard parasitological techniques (i.e. the Kato-Katz faecal smear and urine filtration). Enzyme-linked immunosorbent assays (ELISAs) incorporating S. haematobium antigen preparations were also employed for additional comparison. RESULTS: The sensitivity of the SmCTF-RDT compared to standard parasitological methods was 100% while the specificity was 39.5%. It was found that the sera from RDT “false-positive” children showed significantly higher antibody titres in IgM-cercarial antigen preparation (CAP) and IgM-soluble egg antigen (SEA) ELISA assays than children identified by parasitology as “true-negatives”. CONCLUSIONS: Although further evaluations are necessary using more accurate reference standard tests, these results indicate that the RDT could be a useful tool for the rapid prevalence-mapping of both S. mansoni and S. haematobium in schistosome-endemic areas. It is affordable, user-friendly and allows for diagnosis of both schistosome species at the POC

Assessment of Computer Software Usage for Estimating and Tender Analysis by Nigerian Quantity Surveyors

It has been discovered that there are limitations to the use of computer software packages in construction operations especially estimating and tender analysis. The objectives of this research is to evaluate the level of computer software usage for estimating and tender analysis while also assessing the challenges faced by Nigerian Quantity Surveyors in using computer software for estimating and tender analysis. The survey design methodology was adopted for this research. Data were obtained through the use of questionnaires and oral interview of practicing Quantity Surveyors. Frequency tables showing highest frequency (mode), and cross tabulation were used for the analysis of data collected. It was observed that very high percentage (about 80%) of Nigerian Quantity Surveyors are aware of computer software used for estimating and tender analysis. About 27% uses always while 25% of the Quantity Surveyors use very frequently, 27% uses sometimes and 18% never use. The result of the research also revealed that lack of technical know-how of computer software is the main challenge faced by quantity surveyors in the use of computer software for estimating and tender analysis. It is hereby recommended that computer application for the use of estimating and tender analysis should be inculcated into the professional curriculum so that the technical know-how of Quantity Surveyors in the use of software for estimating and tender analysis will improve.Key-Words: Computer estimation, Software usage, Tender analysis and Quantity Surveyor

The use of bivariate spatial modeling of questionnaire and parasitology data to predict the distribution of Schistosoma haematobium in Coastal Kenya.

BACKGROUND: Questionnaires of reported blood in urine (BIU) distributed through the existing school system provide a rapid and reliable method to classify schools according to the prevalence of Schistosoma haematobium, thereby helping in the targeting of schistosomiasis control. However, not all schools return questionnaires and it is unclear whether treatment is warranted in such schools. This study investigates the use of bivariate spatial modelling of available and multiple data sources to predict the prevalence of S. haematobium at every school along the Kenyan coast. METHODOLOGY: Data from a questionnaire survey conducted by the Kenya Ministry of Education in Coast Province in 2009 were combined with available parasitological and environmental data in a Bayesian bivariate spatial model. This modeled the relationship between BIU data and environmental covariates, as well as the relationship between BIU and S. haematobium infection prevalence, to predict S. haematobium infection prevalence at all schools in the study region. Validation procedures were implemented to assess the predictive accuracy of endemicity classification. PRINCIPAL FINDINGS: The prevalence of BIU was negatively correlated with distance to nearest river and there was considerable residual spatial correlation at small (~15 km) spatial scales. There was a predictable relationship between the prevalence of reported BIU and S. haematobium infection. The final model exhibited excellent sensitivity (0.94) but moderate specificity (0.69) in identifying low (<10%) prevalence schools, and had poor performance in differentiating between moderate and high prevalence schools (sensitivity 0.5, specificity 1). CONCLUSIONS: Schistosomiasis is highly focal and there is a need to target treatment on a school-by-school basis. The use of bivariate spatial modelling can supplement questionnaire data to identify schools requiring mass treatment, but is unable to distinguish between moderate and high prevalence schools