| Title |
Genomic Analysis of Salmonella enterica Serovar Typhimurium DT160 Associated with a 14-Year Outbreak, New Zealand, 1998–2012 - Volume 23, Number 6—June 2017 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, June 2017
|
| DOI | 10.3201/eid2306.161934 |
| Pubmed ID | |
| Authors |
Samuel J. Bloomfield, Jackie Benschop, Patrick J. Biggs, Jonathan C. Marshall, David T.S. Hayman, Philip E. Carter, Anne C. Midwinter, Alison E. Mather, Nigel P. French |
| Abstract |
During 1998-2012, an extended outbreak of Salmonella enterica serovar Typhimurium definitive type 160 (DT160) affected >3,000 humans and killed wild birds in New Zealand. However, the relationship between DT160 within these 2 host groups and the origin of the outbreak are unknown. Whole-genome sequencing was used to compare 109 Salmonella Typhimurium DT160 isolates from sources throughout New Zealand. We provide evidence that DT160 was introduced into New Zealand around 1997 and rapidly propagated throughout the country, becoming more genetically diverse over time. The genetic heterogeneity was evenly distributed across multiple predicted functional protein groups, and we found no evidence of host group differentiation between isolates collected from human, poultry, bovid, and wild bird sources, indicating ongoing transmission between these host groups. Our findings demonstrate how a comparative genomic approach can be used to gain insight into outbreaks, disease transmission, and the evolution of a multihost pathogen after a probable point-source introduction. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Researcher | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 26% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Veterinary Science and Veterinary Medicine | 5 | 12% |
| Immunology and Microbiology | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 February 2022.
All research outputs
#703,019
of 23,197,711 outputs
Outputs from Emerging Infectious Diseases
#847
of 9,190 outputs
Outputs of similar age
#16,113
of 316,978 outputs
Outputs of similar age from Emerging Infectious Diseases
#14
of 118 outputs
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