Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia

Pasaribu, Ayodhia Pitaloka; Tsheten, Tsheten; Yamin, Muhammad; Maryani, Yulia; Fahmi, Fahmi; Clements, Archie C. A.; Gray, Darren J.; Wangdi, Kinley

doi:10.3390/tropicalmed6010030

Cited by 11 publications

(12 citation statements)

References 45 publications

(41 reference statements)

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“…The number of dengue cases and the estimated weather data with IDW interpolation approach in each district were used for dengue prediction in the district using the province model. The predicted dengue cases in the district were identified using the classes of dengue incidence rate, namely, 0.00, 0.01-70.00, 70.01-140.00, 140.01-210.00, 210.01-280.00, 280.01-350.00, and >350.00 [19]. The class of dengue incidence rate in all districts among the three southernmost provinces were mapped from low to high dengue transmission risk areas shown by shading.…”

Section: Discussionmentioning

confidence: 99%

Dengue Transmission Mapping with Weather-Based Predictive Model in Three Southernmost Provinces of Thailand

2021

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This study aimed to show maps and analyses that display dengue cases and weather-related factors on dengue transmission in the three southernmost provinces of Thailand, namely Pattani, Yala, and Narathiwat provinces. Data on the number of dengue cases and weather variables including rainfall, rainy day, mean temperature, min temperature, max temperature, relative humidity, and air pressure for the period from January 2015 to December 2019 were obtained from the Bureau of Epidemiology, Ministry of Public Health and the Meteorological Department of Southern Thailand, respectively. Spearman rank correlation test was performed at lags from zero to two months and the predictive modeling used time series Poisson regression analysis. The distribution of dengue cases showed that in Pattani and Yala provinces the most dengue cases occurred in June. Narathiwat province had the most dengue cases occurring in August. The air pressure, relative humidity, rainfall, rainy day, and min temperature are the main predictors in Pattani province, while air pressure, rainy day, and max/mean temperature seem to play important roles in the number of dengue cases in Yala and Narathiwat provinces. The goodness-of-fit analyses reveal that the model fits the data reasonably well. The results provide scientific information for creating effective dengue control programs in the community, and the predictive model can support decision making in public health organizations and for management of the environmental risk area.

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Section: Discussionmentioning

confidence: 99%

Dengue Transmission Mapping with Weather-Based Predictive Model in Three Southernmost Provinces of Thailand

2021

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“…Moreover, it automatically aggregated the incident data, identified an appropriate scale of analysis, and corrected for multiple testing and spatial dependence. In addition, we interrogated the data to determine the settings that would produce optimal hotspot analysis results [ 39 , 44 ].…”

Section: Methodsmentioning

confidence: 99%

Efficacy Assessment of Autodissemination Using Pyriproxyfen-Treated Ovitraps in the Reduction of Dengue Incidence in Parañaque City, Philippines: A Spatial Analysis

et al. 2023

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Dengue is one of the most important vector-borne diseases worldwide and is a significant public health problem in the tropics. Mosquito control continues to be the primary approach to reducing the disease burden and spread of dengue virus (DENV). Aside from the traditional larviciding and adulticiding interventions, autodissemination using pyriproxyfen-treated (AD-PPF) ovitraps is one of the promising methods to complement existing vector control strategies. Our paper assessed the efficacy of AD-PPF in reducing DENV infections in two barangays in Parañaque City. Using saliva samples from the participants from both the control and intervention sites, we collected the seroprevalence data for three months in each of the two years. Spatial analysis was conducted to determine hotspot areas and identify DENV infection distributions across the trial periods. The results showed that the intervention site was identified as having a clustering of DENV infections in Month 0 of Year 1 and shifted to a random dispersion of dengue cases at the end of Month 3 in Year 2. The disappearance of the clustering of the intervention site translates to a decrease in the cases of DENV infection relative to the control site. Furthermore, we also identified that DENV transmission occurred at a small-scale level that did not go beyond 86 m. In conclusion, AD-PPF is suggested to be an effective strategy and may be used as an additional vector control approach, albeit based on this short-term implementation.

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“…Moreover, it automatically aggregated incident data, identified an appropriate scale of analysis, and corrected for multiple testing and spatial dependence. Also, we interrogated the data to determine settings that would produce optimal hotspot analysis results [32,37].…”

Section: Mapping Clustersmentioning

confidence: 99%

Efficacy Assessment of Autodissemination using Pyriproxyfen-Treated Ovitraps in the Reduction of Dengue Incidence in Two Barangays in Parañaque City, Philippines: A Spatial Analysis

Ligsay¹,

Regencia²,

Tambio³

et al. 2022

Preprint

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Dengue infection is one of the most important vector-borne diseases worldwide and is a significant public health problem in the tropics. Mosquito control continues to be the primary approach to reducing the disease burden and the dengue virus (DENV) spread. Aside from the traditional larviciding and adulticiding interventions, autodissemination using pyriproxyfen-treated (AD-PPF) ovitraps is one of the promising methods to complement existing vector control strategies. Our paper assessed the efficacy of AD-PPF in reducing DENV infection in two barangays in Parañaque City. Using saliva samples from the participants from both the control and intervention sites, we collected the seroprevalence data for three months in each of the two years. Spatial analysis was conducted to determine hotspot areas and identify DENV infection distributions across the trial periods. Results showed that the intervention site was identified as having clustering of DENV infection in Month 0 of Year 1 and shifted to random dispersion of dengue cases at the end of Month 3 in Year 2. The disappearance of the clustering of the intervention site translates to a decrease in the cases of DENV infection relative to the control site. Furthermore, we also identified that DENV infection transmission occurs at a small-scale level that did not go beyond 86 meters. In conclusion, AD-PPF is suggested to be an effective strategy and may be used as an additional vector control approach, albeit in its short-term implementation.

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Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia

Cited by 11 publications

References 45 publications

Dengue Transmission Mapping with Weather-Based Predictive Model in Three Southernmost Provinces of Thailand

Dengue Transmission Mapping with Weather-Based Predictive Model in Three Southernmost Provinces of Thailand

Efficacy Assessment of Autodissemination Using Pyriproxyfen-Treated Ovitraps in the Reduction of Dengue Incidence in Parañaque City, Philippines: A Spatial Analysis

Efficacy Assessment of Autodissemination using Pyriproxyfen-Treated Ovitraps in the Reduction of Dengue Incidence in Two Barangays in Parañaque City, Philippines: A Spatial Analysis

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