Suppr超能文献

2022年和2023年尼泊尔登革热疫情高发期间的发病空间模式:对公共卫生干预措施的启示

Spatial Patterns of Dengue Incidence in Nepal During Record Outbreaks in 2022 and 2023: Implications for Public Health Interventions.

作者信息

Bhandari Simrik, Blackburn Jason K, Ryan Sadie J

机构信息

Quantitative Disease Ecology and Conservation Lab, Department of Geography, University of Florida, Gainesville, Florida.

Emerging Pathogens Institute, University of Florida, Gainesville, Florida.

出版信息

Am J Trop Med Hyg. 2025 Jun 10;113(2):366-373. doi: 10.4269/ajtmh.24-0747. Print 2025 Aug 6.

Abstract

Dengue, which was first reported as a travel case in Nepal in 2004, was initially confined to the lower plains but has spread to higher elevations. Large outbreaks in 2022 and 2023 (54,784 and 51,243 cases, respectively), reached every district (n = 77). We calculated the district-wise incidence for 2022 and 2023 by digitizing case data from Nepal's Ministry of Health and Population and 2021 census data from the National Statistics Office. The incidence and peak incidence months for each year were mapped, and spatial clusters (hotspots and cold spots) and outliers of incidence rates were identified using Local Moran's I. In 2022, district-wise peak cases occurred from August to October. One hotspot (high-high cluster), with high values surrounded by high-value neighbors, including six districts around Kathmandu, and one cold spot (low-low cluster), with low values surrounded by low-value neighbors, comprising eight high-elevation districts in Nepal's northwest region were identified. In 2023, cases peaked from March to November, indicating more distributed peaks that started earlier; hotspots shifted to the north-central and eastern regions, and a low-high outlier district in the central region was identified. Identifying the timing of peaks and spatial clusters of dengue incidence can inform targeted management, thereby improving effectiveness and cost-efficiency. A baseline examination of recent dengue incidence in Nepal, highlighting timing and spatial clustering in incidence, is provided in this study. The mountainous northwest cold spots align with expectations of fewer mosquitoes because of the geography and climate. However, the 2022 dengue incidence peaked across all 77 districts in 3 months, suggesting that ecological and climatic factors may no longer be effective barriers.

摘要

登革热于2004年在尼泊尔首次作为输入性病例被报告,最初局限于低海拔平原地区,但现已蔓延至更高海拔地区。2022年和2023年(分别为54,784例和51,243例)的大规模疫情波及了每个地区(共77个)。我们通过将尼泊尔卫生与人口部的病例数据以及国家统计局2021年人口普查数据数字化,计算了2022年和2023年各地区的发病率。绘制了每年的发病率和发病率高峰月份图,并使用局部莫兰指数(Local Moran's I)确定了空间聚集区(热点和冷点)以及发病率异常值。2022年,各地区的病例高峰出现在8月至10月。识别出一个热点(高高聚集区),其高值被高值邻域包围,包括加德满都周边的六个地区,以及一个冷点(低低聚集区),其低值被低值邻域包围,由尼泊尔西北部地区的八个高海拔地区组成。2023年,病例高峰出现在3月至11月,表明高峰分布更分散且开始时间更早;热点转移到了中北部和东部地区,并识别出中部地区一个低高异常值地区。确定登革热发病率的高峰时间和空间聚集区可为针对性管理提供依据,从而提高有效性和成本效益。本研究提供了对尼泊尔近期登革热发病率的基线检查,突出了发病率的时间和空间聚集情况。由于地理和气候原因,西北部山区的冷点符合蚊子较少的预期。然而,2022年登革热发病率在3个月内出现在所有77个地区的高峰,这表明生态和气候因素可能不再是有效的屏障。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a56/12360065/724fc879a684/ajtmh.24-0747f2.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验