Application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023

Dengue fever is an endemic disease that can lead to major outbreaks in Vietnam. This study aims to describe application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023. The study analyzed aggregate dengue data covering 177 weeks (from Week 1/2020 to Week 20/2023). During the retrospective data period, 360 cases were reported from 14 wards of Hai An and Duong Kinh districts, of which 74 cases formed 5 clusters, with the remaining cases being sporadic. The clusters mainly occurred in November each year. Scan statistics should be systematically applied in monitoring dengue fever outbreaks, as the study results demonstrate that scan techniques can effectively detect clusters in the community.

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Publication Details

Journal
Tạp chí Y học Dự phòng
Published
2024-08-26
DOI
https://doi.org/10.51403/0868-2836/2024/1754
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
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article

Application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023

Trần Anh Tú, Lưu Nguyên Thắng, Pham Thi Cam Ha, Trần Như Dương et al.
Tạp chí Y học Dự phòng
Viral Infections and Vectors
article

Application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023

Trần Anh Tú, Lưu Nguyên Thắng, Pham Thi Cam Ha, Trần Như Dương, Ngo Huy Tu, Ngu Duy Nghia, Khanh Cong Nguyen, Phạm Minh Khuê, Trần Ngọc Thanh, Ha Hong Nhung, Nguyễn Thanh Hải, Hai Tuan Nguyen, Phan Hong Hai, Phung Chi Thien
article en

Abstract

Dengue fever is an endemic disease that can lead to major outbreaks in Vietnam. This study aims to describe application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023. The study analyzed aggregate dengue data covering 177 weeks (from Week 1/2020 to Week 20/2023). During the retrospective data period, 360 cases were reported from 14 wards of Hai An and Duong Kinh districts, of which 74 cases formed 5 clusters, with the remaining cases being sporadic. The clusters mainly occurred in November each year. Scan statistics should be systematically applied in monitoring dengue fever outbreaks, as the study results demonstrate that scan techniques can effectively detect clusters in the community.

Tạp chí Y học Dự phòngVol. 34(4)
Hai phong University Of Medicine and Pharmacy (VN), Hai Phong University (VN), National Institute Of Hygiene And Epidemiology (VN)
Good health and well-being
Openalex Percentile: Top 82%
Viral Infections and Vectors
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Application of spatial scan statistics on retrospective data to detect outbreaks of dengue hemorrhagic fever in Hai An and Duong Kinh districts, Hai Phong, 2020 - 2023 — Trần Anh Tú, Lưu Nguyên Thắng, et al. · Tạp chí Y học Dự phòng (2024) | TGRS Research Map | TGRS