Sentence examples for predictions for malaria from inspiring English sources

When immunopathology arises independently of exploitation, this might increase evolved virulence in the longer term (Day et al. 2007), in keeping with predictions for malaria evolution in response to anti-disease vaccines that alleviate the cost of virulence for parasites (Gandon et al. 2001; Williams 2009).

However, the development of new classifier building methods and data fusion from two classifiers enabled the creation of a prediction model for malaria in the northern regions of ROK, which are the areas of ROK that see most of the malaria cases in the country.

The analyses demonstrate the usefulness of satellite images for the prediction of malaria endemicity.

The best combination of covariates, which was those with the lowest value of the Bayesian Information Criteria (BIC) statistic, [ 36] was selected for the prediction of malaria risk.

First, among the patients presumptively diagnosed and presumed to have malaria (64.7%), lower percentage of these individuals were confirmed to have malaria after laboratory diagnostic test (31.3%) with an odds ratio for correct prediction of malaria after presumptive diagnosis being 57.1% while the odds ratio of correctly predicting anaemia in the same cohort being only 3.4%.

This information has been utilized for malaria prediction and control.

The variables used for malaria prediction were described in the earlier Predictor Variables Section.

Another method used for malaria prediction is exponential smoothing with seasonality introduced using the Holt-Winters procedure [ 46].

We also highlight the difficulty in making predictions of future environmental suitability for malaria in this region because the GCMs differ greatly in their rainfall predictions.

Overall this multipronged approach allowed us to significantly improve the gene predictions for all three rodent malaria species.

The middle areas are expected to see a decrease in suitability for malaria transmission even under the wettest predictions of future climate.