Delineating dengue risk zones in Jaipur: An interdisciplinary approach to inform public health strategies.
Shruti KangaPriyanka RoySuraj Kumar SinghGowhar MerajPankaj KumarJatan DebnathPublished in: Risk analysis : an official publication of the Society for Risk Analysis (2024)
Dengue fever (DF) is a pervasive public health concern in tropical climates, with densely populated regions, such as India, disproportionately affected. Addressing this issue requires a multifaceted understanding of the environmental and sociocultural factors that contribute to the risk of dengue infection. This study aimed to identify high-risk zones for DF in Jaipur, Rajasthan, India, by integrating physical, demographic, and epidemiological data in a comprehensive risk analysis framework. We investigated environmental variables, such as soil type and plant cover, to characterize the potential habitats of Aedes aegypti, the primary dengue vector. Concurrently, demographic metrics were evaluated to assess the population's susceptibility to dengue outbreaks. High-risk areas were systematically identified through a comparative analysis that integrated population density and incidence rates per ward. The results revealed a significant correlation between high population density and an increased risk of dengue, predominantly facilitated by vertical transmission. Spatially, these high-risk zones are concentrated in the northern and southern sectors of Jaipur, with the northern and southwestern wards exhibiting the most acute risk profiles. This study underscores the importance of targeted public health interventions and vaccination campaigns in vulnerable areas. It further lays the groundwork for future research to evaluate the effectiveness of such interventions, thereby contributing to the development of robust evidence-based strategies for dengue risk mitigation.
Keyphrases
- aedes aegypti
- zika virus
- dengue virus
- public health
- randomized controlled trial
- climate change
- mental health
- human health
- drug delivery
- risk assessment
- systematic review
- mass spectrometry
- liver failure
- deep learning
- high resolution
- single cell
- respiratory failure
- global health
- infectious diseases
- single molecule
- mechanical ventilation