ArticleInternational journal of environmental research and public health2019
A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
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- Socio-Economic Vulnerability to Climate Change in Rural Areas in the Context of Green Energy Development-A Study of the Great Masurian Lakes Mesoregion.International journal of environmental research and public health · 2023Article
- Investigating Spatial Patterns of Pulmonary Tuberculosis and Main Related Factors in Bandar Lampung, Indonesia Using Geographically Weighted Poisson Regression.Tropical medicine and infectious disease · 2022Article
- Spatio-temporal evolution and trend prediction of the incidence of Class B notifiable infectious diseases in China: a sample of statistical data from 2007 to 2020.BMC public health · 2022Article
- Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms.Spatial and spatio-temporal epidemiology · 2022Article
- Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005-2019.Infectious diseases of poverty · 2022Article
- TB Hackathon: Development and Comparison of Five Models to Predict Subnational Tuberculosis Prevalence in Pakistan.Tropical medicine and infectious disease · 2022Article
- Default risk prediction and feature extraction using a penalized deep neural network.Statistics and computing · 2022Article
- An evaluative model for assessing pandemic resilience at the neighborhood level: The case of Tehran.Sustainable cities and society · 2021Article
- Artificial Intelligence: Review of Current and Future Applications in Medicine.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2021Review
- Spatio-temporal patterns of the COVID-19 pandemic, and place-based influential factors at the neighborhood scale in Tehran.Sustainable cities and society · 2021Article
- Socio-spatial influences on the prevalence of COVID-19 in central Pennsylvania.Spatial and spatio-temporal epidemiology · 2021Article
- Spatial statistical analysis of pre-existing mortalities of 20 diseases with COVID-19 mortalities in the continental United States.Sustainable cities and society · 2021Article
- Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach.Heliyon · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB incidence rate at the national level are inadequate for epidemiologic inferences. We collected 278 exploratory variables including environmental and a broad range of socio-economic features for modeling the disease across the continental US. The spatial pattern of the disease distribution was statistically evaluated using the global Moran's
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