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Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in …
Background Dengue is a mosquito-borne disease that causes over 300 million infections
worldwide each year with no specific treatment available. Effective surveillance systems are …
worldwide each year with no specific treatment available. Effective surveillance systems are …
Getting personal: how childhood vaccination policies shape the landscape of vaccine exemptions
Background State-mandated school entry immunization requirements in the United States
play an important role in achieving high vaccine coverage, but variations in vaccine …
play an important role in achieving high vaccine coverage, but variations in vaccine …
[HTML][HTML] Epidemic characteristics, spatiotemporal pattern, and risk factors of other infectious diarrhea in Fujian Province from 2005 to 2021: retrospective analysis
Y Lu, H Zhu, Z Hu, F He, G Chen - JMIR public health and surveillance, 2023 - jmir.org
Background: Other infectious diarrhea (OID) continues to pose a significant public health
threat to all age groups in Fujian Province. There is a need for an in-depth analysis to …
threat to all age groups in Fujian Province. There is a need for an in-depth analysis to …
Comparing geospatial clustering methods to study spatial patterns of lung cancer rates in urban areas: A case study in Mashhad, Iran
Geospatial clustering methods play a significant role in identifying high-risk areas in terms of
cancers rate. This study aims to compare three different spatial clustering approaches in …
cancers rate. This study aims to compare three different spatial clustering approaches in …
Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada
The aim of this study is to identify spatiotemporal clusters and the socioeconomic drivers of
COVID-19 in Toronto. Geographical, epidemiological, and socioeconomic data from the 140 …
COVID-19 in Toronto. Geographical, epidemiological, and socioeconomic data from the 140 …
Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis
Spatial pattern detection can be a useful tool for understanding the geographical distribution
of hypertension (HT). The aim of this study was to apply the technique of local indicators of …
of hypertension (HT). The aim of this study was to apply the technique of local indicators of …
Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021
F Fahdhienie, FY Sitepu, EB Depari - Geospatial Health, 2024 - geospatialhealth.net
The purpose of this study was to determine whether there were any TB clusters in Aceh
Province, Indonesia and their temporal distribution during the period of 2019–2021. A …
Province, Indonesia and their temporal distribution during the period of 2019–2021. A …
Geographic hot spots of kidney transplant candidates wait‐listed post‐dialysis
RB Buchalter, AM Huml, ED Poggio… - Clinical …, 2022 - Wiley Online Library
Introduction Preemptive wait‐listing of deceased donor kidney transplant (DDKT) candidates
before maintenance dialysis increases the likelihood of transplantation and improves …
before maintenance dialysis increases the likelihood of transplantation and improves …
Spatial data modeling on GIS for classification of measles-prone region using multiple attribute decision making
Indonesia is a country that has a tropical climate, so that many typical tropical climate
diseases emerge. This disease is caused by viruses and parasites that breed during the dry …
diseases emerge. This disease is caused by viruses and parasites that breed during the dry …
Using Moran's I for detection and monitoring of the Covid-19 spreading stage in Thailand during the third wave of the pandemic
Spatial distribution and spreading patterns of COVID-19 in Thailand were investigated in this
study for the 1 April–23 July 2021 period by analyzing COVID-19 incidence's spatial …
study for the 1 April–23 July 2021 period by analyzing COVID-19 incidence's spatial …