ArticleBMJ open2021
Temporal variation and geospatial clustering of dengue in Delhi, India 2015-2018.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of geographical information system and spatial analysis in Indian health research: a systematic review.BMC health services research · 2024Pooled it
- Spatio-temporal distribution of dengue cases and vectors along with the interrelationship of environmental and climatic factors in the metropolitan city, Kolkata, India, for 2017-2022: calling implications for vector control.Emerging microbes & infections · 2025Article
- Geo-mapping of government healthcare facilities providing diagnostic laboratory services in Delhi, India: a pilot study.BMJ public health · 2025Article
- A sequential study of Chikungunya fever cases notified in the urban setup of India.Journal of family medicine and primary care · 2024Article
- Socio-ecological predictors of dengue in high incidence area of Delhi, India.Scientific reports · 2024Article
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Abstract
objectivesThe study was focused on geographical mapping of dengue cases and also to identify the hotspots or high-risk areas of dengue in Delhi.
designA retrospective spatial-temporal (ecological) study. Descriptive analysis was used to know the distribution of dengue cases by age, sex, seasons and districts of Delhi. The spatiotemporal analysis was performed using inverse distance weighting and Getis-Ord Gi* statistic to know the geographical distribution and identify the hotspot areas. SETTINGS: All the confirmed and diagnosed dengue cases (IgM +ve or NS1 Antigen +ve ELISA) recorded by the Municipal Corporation of Delhi for the last 4 years (2015-2018) were collected with their local address. The location of all the dengue cases was geocoded using their address to prepare the spatiotemporal dengue database.
participantsRecord of all the dengue cases (4179) reported for treatment in the hospitals during the past 4 years were extracted and included in the study. Data were not collected directly from dengue patients.
resultsSeasonal occurrence of dengue cases (4179) shows that the cases start emerging in July, peaked in September-October and declined in December. The proportions of dengue cases were recorded high among the males 57.3% compared with females 42.6%, and differences were also recorded in all the age groups with more cases in age groups <15 and 16-30 years. Mapping of the cases reflects the spatial heterogeneity in the geographical distribution. The geomapping of cases indicates the presence of a significantly high number of cases in West, Southwest, South and Southeast districts of Delhi. High-risk areas or hotspots were also identified in this region.
conclusionDengue occurrence shows significant association with age, sex and seasons. The spatial analysis identified the high-risk areas, which can aid health administrators to take necessary action for prevention and better disease management.
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