Spatial and Genomic Data to Characterize Endemic Typhoid Transmission
Clinical Infectious Diseases·
- DOI
- 10.1093/cid/ciab745
- PMID
- 34463736
- PMCID
- PMC9187325
- OpenAlex
- W3198381468
- Study type
- Cohort study
- Publisher
- Oxford University Press (OUP)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The authors indicate that combining genomic and spatial information may help identify areas with higher incidence and inform targeted environmental surveillance and typhoid control strategies. These implications are presented as applications of the study findings, not as evidence that such interventions were evaluated.
Structured evidence summary
Research question
The study examined how spatial patterns, bacterial genomic similarity, and hydrological features could help characterize typhoid transmission in an endemic setting.
Study design
This was a cohort study of patients with blood culture-confirmed typhoid fever. The analysis combined geolocated household data, whole-genome sequencing of S. Typhi isolates, physical distances, and river-catchment information in geostatistical models.
Population and setting
The cohort included 546 patients presenting to Queen Elizabeth Central Hospital in Blantyre, Malawi, between April 2015 and January 2017. Household locations were obtained for a subset, and 256 S. Typhi isolates were whole-genome sequenced.
Main findings
Typhoid cases were distributed unevenly across Blantyre. Genetic distance between isolate pairs was associated with physical distance between households, and incorporating river catchments improved model fit. The study also reported spatial correlation at a smaller household scale.
Public-health relevance
The authors indicate that combining genomic and spatial information may help identify areas with higher incidence and inform targeted environmental surveillance and typhoid control strategies. These implications are presented as applications of the study findings, not as evidence that such interventions were evaluated.
Important limitations
The supplied abstract describes a single-hospital cohort in Blantyre, with household geolocation available only for a subset and genomic sequencing performed on 256 isolates. The abstract does not provide a full limitations section, and its reported incidence statement is incomplete; interpretation therefore requires the original paper and is limited to the supplied single-article abstract and metadata.
GIDS interpretation
The article is relevant for discovering evidence on typhoid transmission, spatial-genomic analysis, hydrological context, and environmental surveillance in Malawi. It provides context for literature review but does not establish or confirm a current surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 6 auditable classifier relationships to diseases, places, topics, and study design.