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

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dc.contributor.authorJoshua, Ven_US
dc.contributor.authorKaliaperumal, Ken_US
dc.contributor.authorKrishnamurthy, KBen_US
dc.contributor.authorMuthusamy, Ren_US
dc.contributor.authorVenkatachalam, Ren_US
dc.contributor.authorGowri, KAen_US
dc.contributor.authorShete, VCen_US
dc.contributor.authorRamasamy, Sen_US
dc.contributor.authorGupta, Nen_US
dc.contributor.authorMurhekar, MVen_US
dc.date.accessioned2020-04-10T01:45:12Z
dc.date.available2020-04-10T01:45:12Z
dc.date.issued2020-01
dc.description.abstractBackground & 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 <0.001). The robust measure for spatial lag (6.55; P=0.01) was found to be the best model fit for the data set. Minimum temperature and cumulative rainfall were significant predictors. Interpretation & conclusions: A significant increase in the number of dengue cases has occurred when the minimum temperature was 23.0-25.8癈 and the cumulative rainfall 118.14-611.64 mm across the Indian districts. Further in-depth investigations incorporating more number of demographic, ecological and socio-economic factors would be needed for robust conclusions.en_US
dc.identifier.affiliationsVRDLN Data Management Group, Chennai, Tamil Nadu, Indiaen_US
dc.identifier.affiliationsDivision of Epidemiology & Communicate Diseases, Indian Council of Medical Research, New Delhi, Indiaen_US
dc.identifier.affiliationsICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, Indiaen_US
dc.identifier.citationJoshua V, Kaliaperumal K, Krishnamurthy KB, Muthusamy R, Venkatachalam R, Gowri KA, Shete VC, Ramasamy S, Gupta N, Murhekar MV. Exploration of population ecological factors related to the spatial heterogeneity of dengue fever cases diagnosed through a national network of laboratories in India, 2017. Indian Journal of Medical Research. 2020 Jan; 151(1): 79-86en_US
dc.identifier.issn0971-5916
dc.identifier.issn0975-9174
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/196107
dc.languageenen_US
dc.publisherIndian Council of Medical Researchen_US
dc.relation.issuenumber1en_US
dc.relation.volume151en_US
dc.source.urihttps://dx.doi.org/10.4103/ijmr.IJMR_1096_18en_US
dc.subjectDengueen_US
dc.subjectecological factorsen_US
dc.subjecthumidityen_US
dc.subjectIndiaen_US
dc.subjectspatial regressionen_US
dc.subjecttemperatureen_US
dc.subjecttransmissionen_US
dc.titleExploration of population ecological factors related to the spatial heterogeneity of dengue fever cases diagnosed through a national network of laboratories in India, 2017en_US
dc.typeJournal Articleen_US
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