Results 11 to 20 of about 527,565 (212)
Joint quantile disease mapping with application to malaria and G6PD deficiency [PDF]
Statistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases.
Hanan Alahmadi +3 more
doaj +2 more sources
Small area disease mapping of cancer incidence in British Columbia using Bayesian spatial models and the smallareamapp R Package [PDF]
IntroductionThere is an increasing interest in small area analyses in cancer surveillance; however, technical capacity is limited and accessible analytical approaches remain to be determined.
Jonathan Simkin +11 more
doaj +2 more sources
Global mapping of infectious disease [PDF]
The primary aim of this review was to evaluate the state of knowledge of the geographical distribution of all infectious diseases of clinical significance to humans. A systematic review was conducted to enumerate cartographic progress, with respect to the data available for mapping and the methods currently applied.
Hay, SI +10 more
openaire +7 more sources
Prioritising Infectious Disease Mapping [PDF]
Increasing volumes of data and computational capacity afford unprecedented opportunities to scale up infectious disease (ID) mapping for public health uses. Whilst a large number of IDs show global spatial variation, comprehensive knowledge of these geographic patterns is poor.
Pigott, DM +17 more
openaire +8 more sources
Mapping the global spread of 2019-nCoV acute respiratory disease. [PDF]
This is a preliminary analysis developed by the Surveillance Ecology and Epidemiology Research group, Cairo, Egypt. This model will be updated on weekly basis considering the recent situation of disease spread in China.
Disease Mapping (831340)
core +1 more source
Mapping the Geographic Distribution of Tungiasis in Sub-Saharan Africa
The geographic distribution of tungiasis is poorly understood, despite the frequent occurrence of the disease in marginalized populations of low socioeconomic status.
Mark A. Deka
doaj +1 more source
Medical researchers are coming to appreciate that many diseases are in fact complex, heterogeneous syndromes composed of subpopulations that express different variants of a related complication. Time series data extracted from individual electronic health records (EHR) offer an exciting new way to study subtle differences in the way these diseases ...
Peter Schulam 0001, Raman Arora
openaire +3 more sources
Genetic association mapping via evolution-based clustering of haplotypes. [PDF]
Multilocus analysis of single nucleotide polymorphism haplotypes is a promising approach to dissecting the genetic basis of complex diseases. We propose a coalescent-based model for association mapping that potentially increases the power to detect ...
Ioanna Tachmazidou +9 more
core +1 more source
Spatio-Temporal Spread Pattern of COVID-19 in Italy
This paper investigates the spatio-temporal spread pattern of COVID-19 in Italy, during the first wave of infections, from February to October 2020. Disease mappings of the virus infections by using the Besag–York–Mollié model and some spatio-temporal ...
Nicoletta D’Angelo +2 more
doaj +1 more source
Mapping genes through the use of linkage disequilibrium generated by genetic drift: 'Drift mapping' in small populations with no demographic expansion [PDF]
Linkage disequilibrium has been a powerful tool in identifying rare disease alleles in human populations. To date, most research has been directed to isolated populations which have undergone a bottleneck followed by rapid exponential expansion.
Zöllner, Sebastian +8 more
core +1 more source

