1. Epidemiological Analysis of the 2019 Dengue Epidemic in Bhutan
- Author
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Kinley Wangdi, Darren J. Gray, Archie C A Clements, Tsheten Tsheten, Tenzin Wangdi, Angus McLure, and Sonam Wangchuk
- Subjects
Outbreak response ,medicine.medical_specialty ,Health, Toxicology and Mutagenesis ,030231 tropical medicine ,Basic Reproduction Number ,Psychological intervention ,lcsh:Medicine ,Early detection ,Article ,epidemic ,Dengue fever ,03 medical and health sciences ,0302 clinical medicine ,Epidemiology ,medicine ,Humans ,transmissibility ,Epidemics ,Bhutan ,030304 developmental biology ,0303 health sciences ,lcsh:R ,Public Health, Environmental and Occupational Health ,medicine.disease ,dengue ,Geography ,Preparedness ,Cohort ,dispersion ,Demography - Abstract
Bhutan experienced its largest and first nation-wide dengue epidemic in 2019. The cases in 2019 were greater than the total number of cases in all the previous years. This study aimed to characterize the spatiotemporal patterns and effective reproduction number of this explosive epidemic. Weekly notified dengue cases were extracted from the National Early Warning, Alert, Response and Surveillance (NEWARS) database to describe the spatial and temporal patterns of the epidemic. The time-varying, temperature-adjusted cohort effective reproduction number was estimated over the course of the epidemic. The dengue epidemic occurred between 29 April and 8 December 2019 over 32 weeks, and included 5935 cases. During the epidemic, dengue expanded from six to 44 subdistricts. The effective reproduction number was <, 3 for most of the epidemic period, except for a &asymp, 1 month period of explosive growth, coinciding with the monsoon season and school vacations, when the effective reproduction number peaked >, 30 and after which the effective reproduction number declined steadily. Interventions were only initiated 6 weeks after the end of the period of explosive growth. This finding highlights the need to reinforce the national preparedness plan for outbreak response, and to enable the early detection of cases and timely response.
- Published
- 2021