Trang Thu Vu, Dien Minh Tran, Thai Quang Pham, Tung Viet Cao, Phuc Huu Phan, Ngai Kien Le, Nhung Thi Trang Nguyen, Anh Thi Van Dinh, Anh Viet Nguyen, Nghia Duy Ngu, Duong Nhu Tran, Khanh Cong Nguyen, Florian Vogt
The observed spatial pattern is likely to reflect an indirect distance effect on case reporting to VNCH rather than true community-level disease intensity. These findings may support hospital-level surveillance and outbreak preparedness in resource-limited settings.
OBJECTIVES: Adenovirus disproportionately affects children, with limited surveillance in low- and middle-income countries such as Vietnam.
METHODS: We mapped the spatial distribution of laboratory-confirmed cases during a 2022 outbreak at Vietnam National Children's Hospital (VNCH) to identify areas with elevated case reporting. We analysed laboratory-confirmed adenovirus cases admitted to VNCH (January-October 2022), examining demographics and location. ArcGIS Pro was used to map case location and assess spatial clustering using Global Moran's I, Optimized Hot Spot Analysis, and Local Moran's I (LISA), followed by sensitivity analyses and evaluation of spatial efficiency using the predictive accuracy index (PAI).
RESULTS: Of 2687 cases, 89% occurred in children aged <5 years, predominantly boys (61%). Most cases were reported from Hanoi (74%). Spatial analysis revealed significant clustering, with hotspot communes concentrated in 12 core urban districts that were consistently detected across three sensitivity analysis specifications. LISA identified 83 High-High cluster communes, accounting for 44.3% of all Hanoi cases, and demonstrated the highest spatial efficiency (PAI = 9.37). Coldspots were primarily located in the outer districts.
CONCLUSION: The observed spatial pattern is likely to reflect an indirect distance effect on case reporting to VNCH rather than true community-level disease intensity. These findings may support hospital-level surveillance and outbreak preparedness in resource-limited settings.