Evidence map›Paper›PMID 40465649›Full record

ArticlePloS one2025

Spatial autocorrelation of environmental factors influencing dengue outbreaks using Moran's I: A study from Nepal (2020-2023).

Roshan Kumar Mahato, Kyaw Min Htike, Kittipong Sornlorm, Alex Bagas Koro, Rajesh Kumar Yadav, Alok Kafle, Vijay Sharma

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Roshan Kumar MahatoDepartment of Health Management Innovative Technology, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0001-9287-2743
Kyaw Min HtikeDepartment of Health Management Innovative Technology, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0009-0004-7427-1425
Kittipong SornlormDepartment of Health Management Innovative Technology, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-2734-0764
Alex Bagas KoroDepartment of Health Management Innovative Technology, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0009-0005-1305-0052
Rajesh Kumar YadavDepartment of Public Health, LA GRANDEE International college, Pokhara University, Nepal.
Alok KafleTropical Medicine, Faculty of Medicine, Khon Kaen University, Thailand.ORCID https://orcid.org/0000-0002-0048-5699
Vijay SharmaKathmandu University School of Medical Sciences, Dhulikhel, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever, a mosquito-borne viral infection caused by the dengue virus, has become a significant global public health concern, especially in tropical and subtropical regions. Nepal, with its diverse geography and climate, has witnessed a rapid escalation in dengue cases in recent years, with the highest number of cases and fatalities reported in 2022.

objectivesThis study analyzed the spatial distribution of dengue in Nepal from 2020 to 2023, using Moran's I spatial statistics to explore the relationship between environmental factors (such as vegetation indices, land surface temperature and precipitation) and dengue incidence.

methodsBy utilizing Geographic Information System (GIS) and spatial analysis techniques, the study seeks to identify high-incidence clusters and examine environmental factors contributing to the spread of dengue.

resultsThis study examined dengue incidence in Nepal from 2020 to 2023, uncovering significant variations in disease patterns and their environmental correlations. Dengue cases peaked in 2022 (Moran's I; 0.634, P-value; 0.001) before declining in 2023 (Moran's I; 0.144, P-value; 0.036), likely due to targeted public health interventions. Spatial analysis revealed no significant patterns in 2020 (Moran's I; -0.004, P-value; 0.288) and 2021 (Moran's I; 0.006, P-value; 0.186), however, a focused spatial distribution emerged in 2022 and 2023. Environmental factors showed evolving relationships with dengue transmission: NDVI and LST showed negative correlations in 2020-2021, while NDWI and precipitation shifted from negative to positive correlations over the study period.

conclusionThe findings showed significant spatial clustering of dengue cases in urban areas with correlations between higher precipitation and increased dengue incidence. These results highlighted the importance of adaptive public health strategies that account for environmental factors.

Indexed as

DengueDisease OutbreaksDengue VirusEnvironmentGeographic Information SystemsHumansIncidenceNepalSpatial Analysis

Identifiers

PMID40465649
PMCPMC12136339

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