ArticleSpatial and spatio-temporal epidemiology2021
Spatial variation and hotspot detection of COVID-19 cases in Kazakhstan, 2020.
Article in Spatial and spatio-temporal epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Geospatial modelling for zoonotic disease hotspot identification within a One Health framework: a systematic review.One health outlook · 2026Article
- Disparities in Echinococcosis Control in Xizang, China: An Assessment Based on the Health Resource Density Index.Journal of tropical medicine · 2026Article
- Pneumonia incidence and determinants in South Punjab, Pakistan (2016-2020): a spatial epidemiological study at Tehsil-level.International journal of health geographics · 2025Article
- Spatial Distribution and Its Influencing Factors of Secondhand Smoke Exposure Among Adults - 31 PLADs, China, 2022.China CDC weekly · 2025Article
- Spatial-temporal variations of stroke mortality worldwide from 2000 to 2021.BMC public health · 2025Article
- Effect of urban structure, population density and proximity to contagion on COVID-19 infections during the SARS-CoV-2 Alpha and Omicron waves in Málaga, Spain, March 2020 to December 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Spatiotemporal pattern of Covid-19 outbreak in Turkey.GeoJournal · 2023Article
- Geographic Medical Overview of Noncommunicable Diseases (Cardiovascular Diseases and Diabetes) in the Territory of the AP Vojvodina (Northern Serbia).Healthcare (Basel, Switzerland) · 2022Article
- Clustering of countries according to the COVID-19 incidence and mortality rates.BMC public health · 2022Article
- Assessing the Spatiotemporal Spread Pattern of the COVID-19 Pandemic in Malaysia.Frontiers in public health · 2022Article
- A description of spatial-temporal patterns of the novel COVID-19 outbreak in the neighbourhoods' scale in Tehran, Iran.Medical journal of the Islamic Republic of Iran · 2021Article
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Authors and funding
2 authors.
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Abstract
backgroundCOVID-19 is the life-threatening infectious disease of zoonotic origin that has epidemic spread in Kazakhstan. The use of geoepidemiological techniques to detect territories of risk (hotspots) is essential for implementing control measures in the target area. This study aims to conduct spatial analysis of the COVID-19 epidemic in Kazakhstan to increase understanding of the current features of the virus distribution and to explore its geographical patterns, especially its spatial clustering.
methodsWe used geographic information software (QGIS, GeoDa) to perform spatial analysis (Nearest Neighbour Analysis, Global Moran's I, Getis-Ord Gi*, LISA) and to detect COVID-19 risk clusters in the entire territory of Kazakhstan.
resultsClusters of COVID-19 cases were detected using the Getis-Ord GI* analysis (with first order Queen Continuity matrix) in two oblasts of Kazakhstan: Almaty (Iliyskiy, Karasayskiy, Raiymbekskiy, Talgarskiy rayons and city of Almaty) and Aqmola (Arshalynskiy, Ereymengauskiy, Korgalzhynskiy and Shortandinskiy rayons). LISA defined four High-High clusters of COVID-19 cases in the Almaty oblast (Iliyskiy, Karasayskiy and Talgarskiy rayons) and city of Almaty.
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