2013

DOI: 10.9790/0837-1412530

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Spatial Modelling of Cardiovascular Mortality Patterns: A GIS based Study of Rural Bist Doab Region (Punjab, India)

Anandvir Kaur Saini¹

Abstract: Population health is a major area of concern for researchers in developing nations

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“…The hot spot analysis identified the hot and cold spot areas of the disease. By calculating the statistics of Getis‐Ord Gi*, using Z‐score and p‐value to measure, we identified the statistically significant high areas (hot spot) and low areas (cold spot) where the clustering had occurred (Prasannakumar et al., 2011; Saini, 2013).…”

Section: Methodsmentioning

confidence: 99%

Potential risk factors of swine erysipelas outbreak in Northeast Mainland China

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et al. 2020

Transbound Emerg Dis

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Swine erysipelas is a highly febrile and acute infectious disease (Wang et al., 2010). The causative agent, Erysipelothrix rhusiopathiae (E. rhusiopathiae), is a gram-positive, non-sporeforming, slender, and straight or slightly rod-shaped facultative anaerobic bacterium (Koch, 1880). It primarily causes erysipelas in swine but is also implicated in a wide spectrum of diseases

“…The hot spot analysis identified the hot and cold spot areas of the disease. By calculating the statistics of Getis‐Ord Gi*, using Z‐score and p‐value to measure, we identified the statistically significant high areas (hot spot) and low areas (cold spot) where the clustering had occurred (Prasannakumar et al., 2011; Saini, 2013).…”

Section: Methodsmentioning

confidence: 99%

Potential risk factors of swine erysipelas outbreak in Northeast Mainland China

¹

,

²

,

³

et al. 2020

Transbound Emerg Dis

View full text Add to dashboard Cite

Swine erysipelas is a highly febrile and acute infectious disease (Wang et al., 2010). The causative agent, Erysipelothrix rhusiopathiae (E. rhusiopathiae), is a gram-positive, non-sporeforming, slender, and straight or slightly rod-shaped facultative anaerobic bacterium (Koch, 1880). It primarily causes erysipelas in swine but is also implicated in a wide spectrum of diseases

Spatial patterns and correlates of mortality due to selected non-communicable diseases among adults in South Africa, 2011

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2016

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Characteristics of Spatial and Temporal Distribution and Influencing Factors of COVID-19—A Case Study of Shijiazhuang City

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2022

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