Literature DB >> 25427666

Typhoid fever acquired in the United States, 1999-2010: epidemiology, microbiology, and use of a space-time scan statistic for outbreak detection.

M Imanishi1, A E Newton1, A R Vieira1, G Gonzalez-Aviles1, M E Kendall Scott1, K Manikonda1, T N Maxwell1, J L Halpin1, M M Freeman1, F Medalla1, T L Ayers1, G Derado1, B E Mahon1, E D Mintz1.   

Abstract

Although rare, typhoid fever cases acquired in the United States continue to be reported. Detection and investigation of outbreaks in these domestically acquired cases offer opportunities to identify chronic carriers. We searched surveillance and laboratory databases for domestically acquired typhoid fever cases, used a space-time scan statistic to identify clusters, and classified clusters as outbreaks or non-outbreaks. From 1999 to 2010, domestically acquired cases accounted for 18% of 3373 reported typhoid fever cases; their isolates were less often multidrug-resistant (2% vs. 15%) compared to isolates from travel-associated cases. We identified 28 outbreaks and two possible outbreaks within 45 space-time clusters of ⩾2 domestically acquired cases, including three outbreaks involving ⩾2 molecular subtypes. The approach detected seven of the ten outbreaks published in the literature or reported to CDC. Although this approach did not definitively identify any previously unrecognized outbreaks, it showed the potential to detect outbreaks of typhoid fever that may escape detection by routine analysis of surveillance data. Sixteen outbreaks had been linked to a carrier. Every case of typhoid fever acquired in a non-endemic country warrants thorough investigation. Space-time scan statistics, together with shoe-leather epidemiology and molecular subtyping, may improve outbreak detection.

Entities:  

Keywords:  Epidemiology; outbreaks; surveillance system; typhoid fever (Salmonella Typhi)

Mesh:

Year:  2014        PMID: 25427666      PMCID: PMC5207021          DOI: 10.1017/S0950268814003021

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  15 in total

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8.  A space-time permutation scan statistic for disease outbreak detection.

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10.  Power evaluation of disease clustering tests.

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Review 3.  Typhoid Outbreaks, 1989-2018: Implications for Prevention and Control.

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4.  Spatio-temporal cluster and distribution of human brucellosis in Shanxi Province of China between 2011 and 2016.

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Review 5.  Spatial and Temporal Patterns of Typhoid and Paratyphoid Fever Outbreaks: A Worldwide Review, 1990-2018.

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  5 in total

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