Exploration of population ecological factors related to the spatial heterogeneity of dengue fever cases diagnosed through a national network of laboratories in India, 2017

Autor:	Sabarinathan Ramasamy, Vasna Joshua, Nivedita Gupta, Kethara A Gowri, Kirubakaran Bajji Krishnamurthy, for Vrdl Team, Vishal Shete, Manoj V Murhekar, Kanagasabai Kaliaperumal, Ramachandran Venkatachalam, Ravi Muthusamy
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	0301 basic medicine Male spatial regression 030106 microbiology Population India lcsh:Medicine Dengue virus medicine.disease_cause Population density General Biochemistry Genetics and Molecular Biology Dengue fever law.invention Disease Outbreaks Dengue 03 medical and health sciences 0302 clinical medicine law medicine Humans 030212 general & internal medicine education Population Density education.field_of_study dengue - ecological factors - humidity - india - spatial regression - temperature - transmission Ecology lcsh:R humidity transmission temperature General Medicine Dengue Virus medicine.disease Spatial heterogeneity Transmission (mechanics) Geography Spatial regression Population Surveillance ecological factors Original Article Female Seasons Rural area Laboratories
Zdroj:	Indian Journal of Medical Research, Vol 151, Iss 1, Pp 79-86 (2020) The Indian Journal of Medical Research
ISSN:	0971-5916
Popis:	Background & objectives: Dengue virus (DENV) transmission is known to be influenced by the environmental conditions. During 2017, the Viral Research and Diagnostic Laboratories (VRDLs) tested 78,744 suspected dengue fever (DF) patients, of whom, 21,260 were laboratory confirmed. The objectives of the study were to evaluate the hypothesis that spatial heterogeneity existed for DF patients and to identify significant determinants of DENV transmission in various districts across the Indian States during 2017. Methods: Laboratory confirmed DF cases were analysed from 402 districts spread across the Indian States. The determinants for DF transmission included in the model were population density, proportion of population living in rural areas, proportion o f forest cover area to the total geographical area, proportion of persons not able to read and write and who were aged greater than seven years; the climatic variables considered were minimum, maximum and average temperature, precipitation and cumulative rainfall. The spatial heterogeneity was assessed using spatial regression analysis. Results: DF cases showed strong spatial dependency, with Moran's I=4.44 (P
Databáze:	OpenAIRE
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