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Published on: September 16, 2022
Space-time epidemiology of Crimean-Congo hemorrhagic fever (CCHF) in Iran
Mohsen Ahmadkhani1, Ali Asghar Alesheikh1, Sahar Khakifirouz2
1Department of Geospatial Information System (GIS), K. N. Toosi University of Technology, Tehran, Iran.
Insights
Crimean-Congo hemorrhagic fever (CCHF) incidence in Iran is strongly clustered spatially and temporally. Hotspots were identified in eastern, southern, and western regions, particularly during summer months and peak years like 2009 and 2013.
Area of Science:
- Epidemiology
- Spatial analysis
- Public health
Background:
- Crimeyan-Congo hemorrhagic fever (CCHF) poses significant health and economic challenges in endemic Iran.
- Understanding CCHF's spatiotemporal dynamics is crucial for effective disease control.
Purpose of the Study:
- To analyze the spatial and temporal distribution of CCHF cases in Iran from 2000 to 2014.
- To identify geographical and temporal clusters (hotspots) of CCHF incidence.
Main Methods:
- Cross-sectional survey of 1027 CCHF cases (2000-2014).
- Global Moran's I for spatial pattern analysis.
- Spatial and space-time scan statistics to detect clusters.
Main Results:
- CCHF incidence exhibits significant spatial clustering (p<0.01).
- Three major spatial clusters identified in eastern, southern, and western Iran.
- Highest incidence occurred in the east (2006-2012); clusters peaked in 2009 and 2013, predominantly in summer.
Conclusions:
- CCHF distribution in Iran is characterized by distinct spatial and temporal clustering.
- Identifying hotspots aids targeted interventions and resource allocation.
- Further research into environmental factors influencing seasonal clusters is warranted.
Abstract:
Iran, as an endemic country of Crimean-Congo hemorrhagic fever (CCHF), has been suffering from severe health issues and substantial economic burdens imposed by the disease. We analyzed monthly and yearly spatial and temporal distributions of CCHF to better understand the epidemiology of the disease in Iran. A cross-sectional survey was performed on 1027 recorded cases between 2000 and 2014. Global Moran's I analysis was applied to statistically evaluate the spatial pattern of the disease. Additionally, spatial and space-time scan statistics were used to study the presence of possible spatial and space-time hotspots. Global Moran's I analysis proved that the incidence of the disease is strongly clustered in Iran (p<0.01). Purely spatial scan statistics identified that there were three clusters in the eastern, southern and western parts of the country. Through space-time analysis, we found that the highest incidence of CCHF occurred in the eastern parts of the country between 2006 and 2012. Monthly clusters, which include cities with lower (average) temperatures, had been occurring in relatively short periods. The distribution of CCHF incidence in this country is spatially and temporally clustered. The majority of the clusters emerged during the critical years of 2009 and 2013. Summer is the predominant period for the formation of CCHF clusters.
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