Spatial clustering of cholera cases in the Kathmandu Valley: implications for a ring vaccination strategy

Author:

Roskosky Mellisa1,Ali Mohammad1ORCID,Upreti Shyam Raj2,Sack David1

Affiliation:

1. Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, 615 N Wolfe Street, MD-21205, USA

2. Group for Technical Assistance, Sanepa-3, Lalitpur, Nepal

Abstract

Abstract Background In mid-2016, a cholera outbreak occurred in Kathmandu Valley, Nepal. This retrospective study aims to determine if a reactive, ring vaccination strategy would have been useful in preventing cholera transmission during that outbreak. Methods Data on cholera cases were collected as part of hospital-based surveillance in the Kathmandu Valley in 2016. Global Positioning System (GPS) coordinates were obtained during household visits. Geographic clusters of cases were visually determined and tested statistically for clustering. Cluster size was determined based on the distribution of cases around the index case. Results GPS coordinates for 69 cases were analysed. Six geographic clusters were identified, all of which showed significant clustering of cases. Approximately 85% of cases within a cluster occurred more than 7 d after the index case. The median ring size was 1 km, with a population of 14 000 people. Conclusions Cholera cases were clustered in space and the majority of cases occurred over 1 week after the initial cases in the cluster, allowing for an opportunity to prevent transmission through the use of the vaccine soon after the initial case was identified. A ring vaccination strategy may be especially useful for large urban areas with recurrent seasonal outbreaks but where the specific locations for such outbreaks are not predictable.

Funder

Bill & Melinda Gates Foundation

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine,Health (social science)

Reference29 articles.

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2. Cholera epidemiology in developed and developing countries: new thoughts on transmission, seasonality, and control;Miller;Lancet,1985

3. Spatial clustering in the spatio-temporal dynamics of endemic cholera;Ruiz-Moreno;BMC Infect Dis,2010

4. Cholera cases cluster in time and space in Matlab, Bangladesh: implications for targeted preventive interventions;Debes;Int J Epidemiol,2016

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