ArticleBMC public health2021
Analysis of spatial-temporal distribution of notifiable respiratory infectious diseases in Shandong Province, China during 2005-2014.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 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
- Epidemiological characteristics and spatiotemporal analysis of hand-foot-mouth disease in Shandong Province, China.International health · 2026Article
- Spatial, temporal, and spatiotemporal analysis of pertussis in Shapingba District, China, 2014-2024.BMC infectious diseases · 2026Article
- Spatio-temporal analysis of influenza in old-new economic transition areas of coastal mega-cities: evidence from China.Archives of public health = Archives belges de sante publique · 2026Article
- Spatiotemporal modeling of regional short-term pertussis transmission risk using a propagation-enhanced prediction framework.Frontiers in public health · 2026Article
- Spatio-Temporal Modelling and Forecasting of the Prolonged Measles Outbreak in Romania: Insights and Challenges.Healthcare (Basel, Switzerland) · 2025Article
- [Evaluation of the system for Health Surveillance of Populations Exposed to Chemical Substances, Brazil, 2011-2021Evaluación del sistema de Vigilancia de la Salud de la Población Expuesta a Sustancias Químicas, Brasil, 2011-2021].Revista panamericana de salud publica = Pan American journal of public health · 2025Article
- Spatial-temporal evolution patterns of influenza incidence in plateau regions from 2009 to 2023.Frontiers in public health · 2025Article
- Pertussis in the Tshwane District, Gauteng province, South Africa: A cross-sectional study.Journal of public health in Africa · 2025Article
- Article
- Spatial-temporal evolution patterns of influenza incidence in Xinjiang Prefecture from 2014 to 2023 based on GIS.Scientific reports · 2024Article
- Spatial and temporal analysis and forecasting of TB reported incidence in western China.BMC public health · 2024Article
- Heterogeneity of influenza infection at precise scale in Yinchuan, Northwest China, 2012-2022: evidence from Joinpoint regression and spatiotemporal analysis.Scientific reports · 2024Article
- Spatio-Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection.GeoHealth · 2024Article
- Small-area deprivation index does not improve the capability of multisource comorbidity score in mortality prediction.Frontiers in public health · 2023Article
- Epidemiological Characteristics and Spatial-Temporal Analysis of Tuberculosis at the County-Level in Shandong Province, China, 2016-2020.Tropical medicine and infectious disease · 2022Article
- Epidemiological characteristics of mumps from 2004 to 2020 in Jiangsu, China: a flexible spatial and spatiotemporal analysis.Epidemiology and infection · 2022Article
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8 authors.
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Abstract
backgroundLittle comprehensive information on overall epidemic trend of notifiable respiratory infectious diseases is available in Shandong Province, China. This study aimed to determine the spatiotemporal distribution and epidemic characteristics of notifiable respiratory infectious diseases.
methodsTime series was firstly performed to describe the temporal distribution feature of notifiable respiratory infectious diseases during 2005-2014 in Shandong Province. GIS Natural Breaks (Jenks) was applied to divide the average annual incidence of notifiable respiratory infectious diseases into five grades. Spatial empirical Bayesian smoothed risk maps and excess risk maps were further used to investigate spatial patterns of notifiable respiratory infectious diseases. Global and local Moran's I statistics were used to measure the spatial autocorrelation. Spatial-temporal scanning was used to detect spatiotemporal clusters and identify high-risk locations.
resultsA total of 537,506 cases of notifiable respiratory infectious diseases were reported in Shandong Province during 2005-2014. The morbidity of notifiable respiratory infectious diseases had obvious seasonality with high morbidity in winter and spring. Local Moran's I analysis showed that there were 5, 23, 24, 4, 20, 8, 14, 10 and 7 high-risk counties determined for influenza A (H1N1), measles, tuberculosis, meningococcal meningitis, pertussis, scarlet fever, influenza, mumps and rubella, respectively. The spatial-temporal clustering analysis determined that the most likely cluster of influenza A (H1N1), measles, tuberculosis, meningococcal meningitis, pertussis, scarlet fever, influenza, mumps and rubella included 74, 66, 58, 56, 22, 64, 2, 75 and 56 counties, and the time frame was November 2009, March 2008, January 2007, February 2005, July 2007, December 2011, November 2009, June 2012 and May 2005, respectively.
conclusionsThere were obvious spatiotemporal clusters of notifiable respiratory infectious diseases in Shandong during 2005-2014. More attention should be paid to the epidemiological and spatiotemporal characteristics of notifiable respiratory infectious diseases to establish new strategies for its control.
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