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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
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 +10 more sources
Assessment of Neonate's Congenital Hypothyroidism Pattern Using Poisson Spatio-temporal Model in Disease Mapping under the Bayesian Paradigm during 2011-18 in Guilan, Iran [PDF]
Background: Congenital Hypothyroidism (CH) is one of the reasons for mental retardation and defective growth in neonates. It can be treated if it is diagnosed early. The congenital hypothyroidism can be diagnosed using newborn screening in the first days
Bahare Gholami Chaboki +2 more
doaj +1 more source
Oropouche virus (OROV) is an emerging vector-borne arbovirus with high epidemic potential, causing illness in more than 500,000 people. Primarily contracted through its midge and mosquito vectors, OROV remains prevalent in its wild, non-human primate and
Sofia Sciancalepore +4 more
doaj +1 more source
Progress on application of spatial epidemiology in ophthalmology
Most ocular diseases observed with cataract, chlamydia trachomatis, diabetic retinopathy, and uveitis, have their associations with environmental exposures, lifestyle, and habits, making their distribution has certain temporal and spatial features based ...
Cong Li +9 more
doaj +1 more source
Geospatial Analysis and Mapping Strategies for Fine-Grained and Detailed COVID-19 Data with GIS
The unprecedented COVID-19 pandemic is showing dramatic impact across the world. Public health authorities attempt to fight against the virus while maintaining economic activity.
Angel Miramontes Carballada +1 more
doaj +1 more source
Geospatial vaccine uptake is a critical factor in designing strategies that maximize the population-level impact of a vaccination program. This study uses an innovative spatiotemporal model to assess the impact of vaccination distribution strategies ...
Susanne F. Awad +5 more
doaj +1 more source
Spatiotemporal analysis of regional TIA trends
BackgroundThere has been a decline in the stroke incidence across high income countries but such knowledge exists at Country or State rather than areal unit level such local government area (LGA).
Andrew Kawai +13 more
doaj +1 more source
Background: Monitoring malaria transmission is a critical component of efforts to achieve targets for elimination and eradication. Two commonly monitored metrics of transmission intensity are parasite prevalence (PR) and the entomological inoculation ...
Benjamin Amoah +15 more
doaj +1 more source

