Publication

Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela

Vincenti-Gonzalez, M. F., Grillet, M. E., Velasco-Salas, Z. I., Lizarazo, E. F., Amarista, M. A., Sierra, G. M., Comach, G. & Tami, A., 23-Jan-2017, In : PLoS Neglected Tropical Diseases. 11, 1, 21 p., 0005317.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Vincenti-Gonzalez, M. F., Grillet, M. E., Velasco-Salas, Z. I., Lizarazo , E. F., Amarista, M. A., Sierra, G. M., ... Tami, A. (2017). Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela. PLoS Neglected Tropical Diseases, 11(1), [0005317]. https://doi.org/10.1371/journal.pntd.0005317

Author

Vincenti-Gonzalez, Maria F. ; Grillet, Maria Eugenia ; Velasco-Salas, Zoraida I. ; Lizarazo , Erley F. ; Amarista, Manuel A ; Sierra, Gloria M. ; Comach, Guillermo ; Tami, Adriana. / Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela. In: PLoS Neglected Tropical Diseases. 2017 ; Vol. 11, No. 1.

Harvard

Vincenti-Gonzalez, MF, Grillet, ME, Velasco-Salas, ZI, Lizarazo , EF, Amarista, MA, Sierra, GM, Comach, G & Tami, A 2017, 'Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela', PLoS Neglected Tropical Diseases, vol. 11, no. 1, 0005317. https://doi.org/10.1371/journal.pntd.0005317

Standard

Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela. / Vincenti-Gonzalez, Maria F.; Grillet, Maria Eugenia; Velasco-Salas, Zoraida I.; Lizarazo , Erley F.; Amarista, Manuel A; Sierra, Gloria M.; Comach, Guillermo; Tami, Adriana.

In: PLoS Neglected Tropical Diseases, Vol. 11, No. 1, 0005317, 23.01.2017.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Vincenti-Gonzalez MF, Grillet ME, Velasco-Salas ZI, Lizarazo EF, Amarista MA, Sierra GM et al. Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela. PLoS Neglected Tropical Diseases. 2017 Jan 23;11(1). 0005317. https://doi.org/10.1371/journal.pntd.0005317


BibTeX

@article{4eddab25e87d4c0b9c380491ae528104,
title = "Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela",
abstract = "BackgroundDengue virus (DENV) transmission is spatially heterogeneous. Hence, to stratify dengue prevalence in space may be an efficacious strategy to target surveillance and control efforts in a cost-effective manner particularly in Venezuela where dengue is hyperendemic and public health resources are scarce. Here, we determine hot spots of dengue seroprevalence and the risk factors associated with these clusters using local spatial statistics and a regression modeling approach.Methodology/Principal FindingsFrom August 2010 to January 2011, a community-based cross-sectional study of 2012 individuals in 840 households was performed in high incidence neighborhoods of a dengue hyperendemic city in Venezuela. Local spatial statistics conducted at household-and blocklevel identified clusters of recent dengue seroprevalence (39 hot spot households and 9 hot spot blocks) in all neighborhoods. However, no clusters were found for past dengue seroprevalence. Clustering of infection was detected at a very small scale (20-110m) suggesting a high disease focal aggregation. Factors associated with living in a hot spot household were occupation (being a domestic worker/housewife (P = 0.002), lower socio-economic status (living in a shack (P<0.001), sharing a household with <7 people (P = 0.004), promoting potential vector breeding sites (storing water in containers (P = 0.024), having litter outdoors (P = 0.002) and mosquito preventive measures (such as using repellent, P = 0.011). Similarly, low socio-economic status (living in crowded conditions, P<0.001), having an occupation of domestic worker/housewife (P = 0.012) and not using certain preventive measures against mosquitoes (P<0.05) were directly associated with living in a hot spot block.Conclusions/SignificanceOur findings contribute to a better comprehension of the spatial dynamics of dengue by assessing the relationship between disease clusters and their risk factors. These results can inform health authorities in the design of surveillance and control activities. Focalizing dengue control measures during epidemic and inter-epidemic periods to disease high risk zones at household and neighborhood-level may significantly reduce virus transmission in comparison to random interventions.",
keywords = "SPACE-TIME ANALYSIS, RIO-DE-JANEIRO, AEDES-AEGYPTI, GLOBAL DISTRIBUTION, VIRUS TRANSMISSION, AMERICAN-SAMOA, KAMPHAENG-PHET, VECTOR, INFECTION, THAILAND",
author = "Vincenti-Gonzalez, {Maria F.} and Grillet, {Maria Eugenia} and Velasco-Salas, {Zoraida I.} and Lizarazo, {Erley F.} and Amarista, {Manuel A} and Sierra, {Gloria M.} and Guillermo Comach and Adriana Tami",
year = "2017",
month = "1",
day = "23",
doi = "10.1371/journal.pntd.0005317",
language = "English",
volume = "11",
journal = "PLoS Neglected Tropical Diseases",
issn = "1935-2735",
publisher = "PUBLIC LIBRARY SCIENCE",
number = "1",

}

RIS

TY - JOUR

T1 - Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela

AU - Vincenti-Gonzalez, Maria F.

AU - Grillet, Maria Eugenia

AU - Velasco-Salas, Zoraida I.

AU - Lizarazo , Erley F.

AU - Amarista, Manuel A

AU - Sierra, Gloria M.

AU - Comach, Guillermo

AU - Tami, Adriana

PY - 2017/1/23

Y1 - 2017/1/23

N2 - BackgroundDengue virus (DENV) transmission is spatially heterogeneous. Hence, to stratify dengue prevalence in space may be an efficacious strategy to target surveillance and control efforts in a cost-effective manner particularly in Venezuela where dengue is hyperendemic and public health resources are scarce. Here, we determine hot spots of dengue seroprevalence and the risk factors associated with these clusters using local spatial statistics and a regression modeling approach.Methodology/Principal FindingsFrom August 2010 to January 2011, a community-based cross-sectional study of 2012 individuals in 840 households was performed in high incidence neighborhoods of a dengue hyperendemic city in Venezuela. Local spatial statistics conducted at household-and blocklevel identified clusters of recent dengue seroprevalence (39 hot spot households and 9 hot spot blocks) in all neighborhoods. However, no clusters were found for past dengue seroprevalence. Clustering of infection was detected at a very small scale (20-110m) suggesting a high disease focal aggregation. Factors associated with living in a hot spot household were occupation (being a domestic worker/housewife (P = 0.002), lower socio-economic status (living in a shack (P<0.001), sharing a household with <7 people (P = 0.004), promoting potential vector breeding sites (storing water in containers (P = 0.024), having litter outdoors (P = 0.002) and mosquito preventive measures (such as using repellent, P = 0.011). Similarly, low socio-economic status (living in crowded conditions, P<0.001), having an occupation of domestic worker/housewife (P = 0.012) and not using certain preventive measures against mosquitoes (P<0.05) were directly associated with living in a hot spot block.Conclusions/SignificanceOur findings contribute to a better comprehension of the spatial dynamics of dengue by assessing the relationship between disease clusters and their risk factors. These results can inform health authorities in the design of surveillance and control activities. Focalizing dengue control measures during epidemic and inter-epidemic periods to disease high risk zones at household and neighborhood-level may significantly reduce virus transmission in comparison to random interventions.

AB - BackgroundDengue virus (DENV) transmission is spatially heterogeneous. Hence, to stratify dengue prevalence in space may be an efficacious strategy to target surveillance and control efforts in a cost-effective manner particularly in Venezuela where dengue is hyperendemic and public health resources are scarce. Here, we determine hot spots of dengue seroprevalence and the risk factors associated with these clusters using local spatial statistics and a regression modeling approach.Methodology/Principal FindingsFrom August 2010 to January 2011, a community-based cross-sectional study of 2012 individuals in 840 households was performed in high incidence neighborhoods of a dengue hyperendemic city in Venezuela. Local spatial statistics conducted at household-and blocklevel identified clusters of recent dengue seroprevalence (39 hot spot households and 9 hot spot blocks) in all neighborhoods. However, no clusters were found for past dengue seroprevalence. Clustering of infection was detected at a very small scale (20-110m) suggesting a high disease focal aggregation. Factors associated with living in a hot spot household were occupation (being a domestic worker/housewife (P = 0.002), lower socio-economic status (living in a shack (P<0.001), sharing a household with <7 people (P = 0.004), promoting potential vector breeding sites (storing water in containers (P = 0.024), having litter outdoors (P = 0.002) and mosquito preventive measures (such as using repellent, P = 0.011). Similarly, low socio-economic status (living in crowded conditions, P<0.001), having an occupation of domestic worker/housewife (P = 0.012) and not using certain preventive measures against mosquitoes (P<0.05) were directly associated with living in a hot spot block.Conclusions/SignificanceOur findings contribute to a better comprehension of the spatial dynamics of dengue by assessing the relationship between disease clusters and their risk factors. These results can inform health authorities in the design of surveillance and control activities. Focalizing dengue control measures during epidemic and inter-epidemic periods to disease high risk zones at household and neighborhood-level may significantly reduce virus transmission in comparison to random interventions.

KW - SPACE-TIME ANALYSIS

KW - RIO-DE-JANEIRO

KW - AEDES-AEGYPTI

KW - GLOBAL DISTRIBUTION

KW - VIRUS TRANSMISSION

KW - AMERICAN-SAMOA

KW - KAMPHAENG-PHET

KW - VECTOR

KW - INFECTION

KW - THAILAND

U2 - 10.1371/journal.pntd.0005317

DO - 10.1371/journal.pntd.0005317

M3 - Article

VL - 11

JO - PLoS Neglected Tropical Diseases

JF - PLoS Neglected Tropical Diseases

SN - 1935-2735

IS - 1

M1 - 0005317

ER -

ID: 39656343