ArticleBMJ open2022
Spatiotemporal analysis of pertussis in Hunan Province, China, 2009-2019.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Spatiotemporal clustering, socioeconomic drivers and policy evaluation of mumps in Hunan Province, China, 2015-2024.Preventive medicine reports · 2026Article
- Spatial, temporal, and spatiotemporal analysis of pertussis in Shapingba District, China, 2014-2024.BMC infectious diseases · 2026Article
- Spatiotemporal modeling of regional short-term pertussis transmission risk using a propagation-enhanced prediction framework.Frontiers in public health · 2026Article
- Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study.JMIR cancer · 2025Article
- Epidemiological and spatial-temporal clustering characteristics of pertussis in Southwest China, 2013-2024.Frontiers in public health · 2025Article
- Epidemiological Characteristics and Spatiotemporal Analysis of Occupational Noise-Induced Deafness From 2006 to 2022 in Guangdong, China: Surveillance Study.JMIR public health and surveillance · 2024Article
- High-risk spatiotemporal patterns of leprosy in the southeastern region of Yunnan province from 2010 to 2022: an analysis at the township level.BMC public health · 2024Article
- Editorial: Macroeconomic impact of disease dynamics: a temporal-spatial analysis.Frontiers in public health · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aims to explore the spatial and spatiotemporal distribution of pertussis in Hunan Province, and provide a scientific basis for targeting preventive measures in areas with a high incidence of pertussis.
designIn this retrospective spatial and spatiotemporal (ecological) study, the surveillance and population data of Hunan Province from 2009 to 2019 were analysed. The ArcGIS V.10.3 software was used for spatial autocorrelation analysis and visual display, and SaTScan V.9.6 software was used for statistical analysis of spatiotemporal scan data. SETTINGS: Confirmed and suspected pertussis cases with current addresses in Hunan Province and onset dates between 1 January 2009 and 31 December 2019 were included in the study.
participantsThe study used aggregated data, including 6796 confirmed and suspected pertussis cases.
resultsThe seasonal peak occurred between March and September, and scattered children were at high risk. The global Moran's I was between 0.107 and 0.341 (p<0.05), which indicated that the incidence of pertussis in Hunan had a positive spatial autocorrelation. The results of local indicators of spatial autocorrelation analysis showed that the hot spots were mainly distributed in the northeast region of Hunan Province. Moreover, both purely space and spatiotemporal scans showed that the central and northeastern parts were the most likely cluster areas with an epidemic period between March and October in 2018 and 2019.
conclusionThe distribution of the pertussis epidemic in Hunan Province from 2009 to 2019 shows spatiotemporal clustering. The clustering areas of the pertussis epidemic were concentrated in the central and northeastern parts of Hunan Province between March and October 2018 and 2019. In areas with low pertussis incidence, the strengthening of the monitoring system may reduce under-reporting. In areas with high pertussis incidence where we could study whether the genes of endemic pertussis strains are mutated and differ from vaccine strains.
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