ArticleBMC infectious diseases2021
Spatiotemporal epidemiology of cryptosporidiosis in the Republic of Ireland, 2008-2017: development of a space-time "cluster recurrence" index.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Prevalence, molecular species, and associated factors for Cryptosporidium infection among dairy-farm workers and HIV-positive individuals in central Ethiopia: a cross-sectional study.BMC infectious diseases · 2026Article
- Sporadic Shiga Toxin-Producing Escherichia coli-Associated Pediatric Hemolytic Uremic Syndrome, France, 2012-2021.Emerging infectious diseases · 2023Article
- Spatio-temporal evolution of COVID-19 in the Republic of Ireland and the Greater Dublin Area (March to November 2020): A space-time cluster frequency approach.Spatial and spatio-temporal epidemiology · 2023Article
- 30th Annual GPPharmaceuticals (Basel, Switzerland) · 2023Article
- An ecological study of the spatiotemporal dynamics and drivers of domestically acquired campylobacteriosis in Ireland, 2011-2018.PloS one · 2023Article
- The Marine Compound Tartrolon E Targets the Asexual and Early Sexual Stages ofMicroorganisms · 2022Article
- A summary of cryptosporidiosis outbreaks reported in France and overseas departments, 2017-2020.Food and waterborne parasitology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundIreland frequently reports the highest annual Crude Incidence Rates (CIRs) of cryptosporidiosis in the EU, with national CIRs up to ten times the EU average. Accordingly, the current study sought to examine the spatiotemporal trends associated with this potentially severe protozoan infection.
methodsOverall, 4509 cases of infection from January 2008 to December 2017 were geo-referenced to a Census Small Area (SA), with an ensemble of geo-statistical approaches including seasonal decomposition, Local Moran's I, and space-time scanning used to elucidate spatiotemporal patterns of infection.
resultsOne or more confirmed cases were notified in 3413 of 18,641 Census SAs (18.3%), with highest case numbers occurring in the 0-5-year range (n = 2672, 59.3%). Sporadic cases were more likely male (OR 1.4) and rural (OR 2.4), with outbreak-related cases more likely female (OR 1.4) and urban (OR 1.5). Altogether, 55 space-time clusters (≥ 10 confirmed cases) of sporadic infection were detected, with three "high recurrence" regions identified; no large urban conurbations were present within recurrent clusters.
conclusionsSpatiotemporal analysis represents an important indicator of infection patterns, enabling targeted epidemiological intervention and surveillance. Presented results may also be used to further understand the sources, pathways, receptors, and thus mechanisms of cryptosporidiosis in Ireland.
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