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Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR [PDF]

open access: yesScientific Reports
The year 2020 witnessed the arrival of the global COVID-19 pandemic, which became the most devastating public health disaster in the last decade. Understanding the underlying spatial variations of the consequences of the pandemic, particularly mortality,
Shawky Mansour   +5 more
doaj   +4 more sources

Using geographically weighted Poisson regression to examine the association between socioeconomic factors and hysterectomy incidence in Wallonia, Belgium [PDF]

open access: yesBMC Women's Health, 2021
Background Various studies have investigated geographical variations in the incidence of hysterectomy in Western countries and analyzed socioeconomic factors to explain those variations.
Aline Poliart   +5 more
doaj   +2 more sources

Investigating Spatial Patterns of Pulmonary Tuberculosis and Main Related Factors in Bandar Lampung, Indonesia Using Geographically Weighted Poisson Regression [PDF]

open access: yesTropical Medicine and Infectious Disease, 2022
Tuberculosis (TB) is a highly infectious disease, representing one of the major causes of death worldwide. Sustainable Development Goal 3.3 implies a serious decrease in the incidence of TB cases.
Helina Helmy   +3 more
doaj   +2 more sources

Determination of the best multivariate adaptive geographically weighted generalized Poisson regression splines model employing generalized cross-validation in dengue fever cases

open access: yesMethodsX, 2023
This article constructs a new model based on multivariate adaptive generalized Poisson regression splines (MAGPRS) and geographically weighted generalized Poisson regression (GWGPR), which is known as multivariate adaptive geographically weighted ...
Riry Sriningsih   +2 more
doaj   +3 more sources

Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam. [PDF]

open access: yesPLoS ONE, 2018
OBJECTIVES:This study aimed to examine the potential of combining routine tuberculosis (TB) surveillance and demographic and socioeconomic variables into the Geographic Information System (GIS) to describe the geographical distribution of TB notified ...
Long Viet Bui   +4 more
doaj   +2 more sources

Examining spatial heterogeneity in built environment and climate factors affecting motorcycle crashes. [PDF]

open access: yesPLoS ONE
Motorcycle crashes are a major contributor to road traffic fatalities in Cambodia, where motorcycles represent the dominant mode of transportation.
Yaqiu Li   +3 more
doaj   +2 more sources

POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA

open access: yesBarekeng, 2023
Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih   +1 more
doaj   +1 more source

Spatial Modeling of leprosy disease in east java province with spatially varying regression coefficients models

open access: yesIndian Journal of Public Health, 2022
Indonesia ranks third with the most leprosy cases globally. East Java is the province that has the highest leprosy cases. The Provincial Government socialized the East Java Leprosy Eradication Program, which targets a maximum of one leprosy case per 10 ...
Husnul Chotimah, I G N. Mindra Jaya
doaj   +1 more source

Geographically weighted generalized poisson regression model with the best kernel function in the case of the number of postpartum maternal mortality in east java

open access: yesMethodsX, 2023
This study proposes a Geographically Weighted Generalized Poisson Regression (GWGPR) model with the best kernel function to obtain a model of the number of postpartum maternal mortality in East Java Province in 2020 and determine the factors that affect ...
Sischa Wahyuning Tyas   +2 more
doaj   +1 more source

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