Exploring the spatial relationship between exposure to agrochemicals with Covid-19 infection using a Geographically Weighted Regression model: A case study of East-Azarbayjan, Iran

Published: 19 December 2022| Version 1 | DOI: 10.17632/vmyw6nwn7p.1
Contributors:
Hamed Ahmadi,
,
,

Description

This Geodatabase consists two Feature Datasets including RawData and Results. The RawData contains some Feature classes storing the COVID-19 infection, Mortality due to infection, and Mortality To Infection Ratio during 1 April 2020 to 28 February 2022 (monthly) in addition Agrochemicals used during 2000 to 2018 (yearly) in the East-Azerbaijan province in Iran. Moreover the feature dataset contains the population data in the province. Furthermore, all of the variables are stored in a feature class. Additionally, the Results feature dataset contains the results of GWR model separately for Pesticides and Fertilizers relationships with COVID-19.

Files

Steps to reproduce

The agrochemicals data were obtained from Ministry of Agriculture (the East- Azerbaijan Agricultural Organization). The COVID-19 data were obtained from Tabriz University of Medical Sciences (the Health Vice-chancellor of East- Azerbaijan province).

Institutions

University of Tehran, Tarbiat Modares University, University of Tabriz

Categories

Environmental Health Exposure, Geographically Weighted Regression, Agrochemical, COVID-19

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