Session Type: ePosters
Session Title: ePosters
Authors(s): C. Wijesinghe (1, 2), B. Noor (3), J. Gunatilake (2), K. Pahalagedara (4), F. Noordeen (3)
Authors Affiliations(s): (1) Teaching Hospital, Peradeniya, Peradeniya, Sri Lanka, (2) Postgraduate Institute of Science, University of Peradeniya, Peradeniya, Sri Lanka, (3) Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka, (4) Regional office, Anti Malaria Campaign, Kandy, Sri Lanka
Background:
Geographical Information System (GIS) allows collection, storage, integration, analysis and display of spatially referenced data and has been used in the health sector in various fields for mapping of disease distribution, analysis of space and space and time associated distribution of the diseases and identification of risk factors and risk areas. The present study was undertaken to describe the spatio-temporal diffusion pattern of circulating dengue virus (DENV) serotypes in patients and Aedes vectors in relation to dengue incidence, land use and developmental work in the area during a 16 months’ period covering outbreak and inter-outbreak periods.
Methods:A prospective study was carried out from December 2015 to March 2017 in the Mawanella Medical Officer of Health (MOH) area. Addresses of selected dengue suspected patients were collected from the Base Hospital, Mawanella and spatial coordinates of residences were also taken through google map. Distribution of dengue incidence, DENV serotypes and vectors in the study period were mapped based on Grama Niladari (GN) area boundaries and land patterns in the google picture of the Mawanella town.
Results:Based on spatial and temporal analysis most of the dengue cases were clustered around densely populated parts of the study area. The clusters started to appear from the second quarter of the study period with the highest number of cases. The clusters decreased in size in the third quarter and increased in size in the fourth and fifth quarters(Figure 1). All four DENV serotypes were detected during the study period(Figure 2). Aedes aegypti and Aedes albopictus vectors were abundant in densely populated urban areas. However, Aedes albopictus was more abundant in less populated areas(Figure 3).
Conclusions:The present study highlights the importance of population density as a risk factor in dengue dynamics in the study area. Densely populated areas have increased DENV transmission through infected Aedes aegypti and Aedes albopictus vectors.
Keyword(s): Dengue viruses, Vectors, Serotypes
COI Other: World Health Organization
Session Type: ePosters
Session Title: ePosters
Authors(s): C. Wijesinghe (1, 2), B. Noor (3), J. Gunatilake (2), K. Pahalagedara (4), F. Noordeen (3)
Authors Affiliations(s): (1) Teaching Hospital, Peradeniya, Peradeniya, Sri Lanka, (2) Postgraduate Institute of Science, University of Peradeniya, Peradeniya, Sri Lanka, (3) Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka, (4) Regional office, Anti Malaria Campaign, Kandy, Sri Lanka
Background:
Geographical Information System (GIS) allows collection, storage, integration, analysis and display of spatially referenced data and has been used in the health sector in various fields for mapping of disease distribution, analysis of space and space and time associated distribution of the diseases and identification of risk factors and risk areas. The present study was undertaken to describe the spatio-temporal diffusion pattern of circulating dengue virus (DENV) serotypes in patients and Aedes vectors in relation to dengue incidence, land use and developmental work in the area during a 16 months’ period covering outbreak and inter-outbreak periods.
Methods:A prospective study was carried out from December 2015 to March 2017 in the Mawanella Medical Officer of Health (MOH) area. Addresses of selected dengue suspected patients were collected from the Base Hospital, Mawanella and spatial coordinates of residences were also taken through google map. Distribution of dengue incidence, DENV serotypes and vectors in the study period were mapped based on Grama Niladari (GN) area boundaries and land patterns in the google picture of the Mawanella town.
Results:Based on spatial and temporal analysis most of the dengue cases were clustered around densely populated parts of the study area. The clusters started to appear from the second quarter of the study period with the highest number of cases. The clusters decreased in size in the third quarter and increased in size in the fourth and fifth quarters(Figure 1). All four DENV serotypes were detected during the study period(Figure 2). Aedes aegypti and Aedes albopictus vectors were abundant in densely populated urban areas. However, Aedes albopictus was more abundant in less populated areas(Figure 3).
Conclusions:The present study highlights the importance of population density as a risk factor in dengue dynamics in the study area. Densely populated areas have increased DENV transmission through infected Aedes aegypti and Aedes albopictus vectors.
Keyword(s): Dengue viruses, Vectors, Serotypes
COI Other: World Health Organization
Session Type: ePosters
Session Title: ePosters
Authors(s): C. Wijesinghe (1, 2), B. Noor (3), J. Gunatilake (2), K. Pahalagedara (4), F. Noordeen (3)
Authors Affiliations(s): (1) Teaching Hospital, Peradeniya, Peradeniya, Sri Lanka, (2) Postgraduate Institute of Science, University of Peradeniya, Peradeniya, Sri Lanka, (3) Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka, (4) Regional office, Anti Malaria Campaign, Kandy, Sri Lanka
Background:
Geographical Information System (GIS) allows collection, storage, integration, analysis and display of spatially referenced data and has been used in the health sector in various fields for mapping of disease distribution, analysis of space and space and time associated distribution of the diseases and identification of risk factors and risk areas. The present study was undertaken to describe the spatio-temporal diffusion pattern of circulating dengue virus (DENV) serotypes in patients and Aedes vectors in relation to dengue incidence, land use and developmental work in the area during a 16 months’ period covering outbreak and inter-outbreak periods.
Methods:A prospective study was carried out from December 2015 to March 2017 in the Mawanella Medical Officer of Health (MOH) area. Addresses of selected dengue suspected patients were collected from the Base Hospital, Mawanella and spatial coordinates of residences were also taken through google map. Distribution of dengue incidence, DENV serotypes and vectors in the study period were mapped based on Grama Niladari (GN) area boundaries and land patterns in the google picture of the Mawanella town.
Results:Based on spatial and temporal analysis most of the dengue cases were clustered around densely populated parts of the study area. The clusters started to appear from the second quarter of the study period with the highest number of cases. The clusters decreased in size in the third quarter and increased in size in the fourth and fifth quarters(Figure 1). All four DENV serotypes were detected during the study period(Figure 2). Aedes aegypti and Aedes albopictus vectors were abundant in densely populated urban areas. However, Aedes albopictus was more abundant in less populated areas(Figure 3).
Conclusions:The present study highlights the importance of population density as a risk factor in dengue dynamics in the study area. Densely populated areas have increased DENV transmission through infected Aedes aegypti and Aedes albopictus vectors.
Keyword(s): Dengue viruses, Vectors, Serotypes
COI Other: World Health Organization
Session Type: ePosters
Session Title: ePosters
Authors(s): C. Wijesinghe (1, 2), B. Noor (3), J. Gunatilake (2), K. Pahalagedara (4), F. Noordeen (3)
Authors Affiliations(s): (1) Teaching Hospital, Peradeniya, Peradeniya, Sri Lanka, (2) Postgraduate Institute of Science, University of Peradeniya, Peradeniya, Sri Lanka, (3) Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka, (4) Regional office, Anti Malaria Campaign, Kandy, Sri Lanka
Background:
Geographical Information System (GIS) allows collection, storage, integration, analysis and display of spatially referenced data and has been used in the health sector in various fields for mapping of disease distribution, analysis of space and space and time associated distribution of the diseases and identification of risk factors and risk areas. The present study was undertaken to describe the spatio-temporal diffusion pattern of circulating dengue virus (DENV) serotypes in patients and Aedes vectors in relation to dengue incidence, land use and developmental work in the area during a 16 months’ period covering outbreak and inter-outbreak periods.
Methods:A prospective study was carried out from December 2015 to March 2017 in the Mawanella Medical Officer of Health (MOH) area. Addresses of selected dengue suspected patients were collected from the Base Hospital, Mawanella and spatial coordinates of residences were also taken through google map. Distribution of dengue incidence, DENV serotypes and vectors in the study period were mapped based on Grama Niladari (GN) area boundaries and land patterns in the google picture of the Mawanella town.
Results:Based on spatial and temporal analysis most of the dengue cases were clustered around densely populated parts of the study area. The clusters started to appear from the second quarter of the study period with the highest number of cases. The clusters decreased in size in the third quarter and increased in size in the fourth and fifth quarters(Figure 1). All four DENV serotypes were detected during the study period(Figure 2). Aedes aegypti and Aedes albopictus vectors were abundant in densely populated urban areas. However, Aedes albopictus was more abundant in less populated areas(Figure 3).
Conclusions:The present study highlights the importance of population density as a risk factor in dengue dynamics in the study area. Densely populated areas have increased DENV transmission through infected Aedes aegypti and Aedes albopictus vectors.
Keyword(s): Dengue viruses, Vectors, Serotypes
COI Other: World Health Organization