Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia
Dengue has been a perennial public health problem in Medan city, North Sumatera, despite the widespread implementation of dengue control. Understanding the spatial and temporal pattern of dengue is critical for effective implementation of dengue control strategies. This study aimed to characterize t...
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MDPI AG
2021-03-01
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author | Ayodhia Pitaloka Pasaribu Tsheten Tsheten Muhammad Yamin Yulia Maryani Fahmi Fahmi Archie C. A. Clements Darren J. Gray Kinley Wangdi |
author_facet | Ayodhia Pitaloka Pasaribu Tsheten Tsheten Muhammad Yamin Yulia Maryani Fahmi Fahmi Archie C. A. Clements Darren J. Gray Kinley Wangdi |
author_sort | Ayodhia Pitaloka Pasaribu |
collection | DOAJ |
description | Dengue has been a perennial public health problem in Medan city, North Sumatera, despite the widespread implementation of dengue control. Understanding the spatial and temporal pattern of dengue is critical for effective implementation of dengue control strategies. This study aimed to characterize the epidemiology and spatio-temporal patterns of dengue in Medan City, Indonesia. Data on dengue incidence were obtained from January 2016 to December 2019. Kulldorff’s space-time scan statistic was used to identify dengue clusters. The Getis-Ord Gi* and Anselin Local Moran’s I statistics were used for further characterisation of dengue hotspots and cold spots. Results: A total of 5556 cases were reported from 151 villages across 21 districts in Medan City. Annual incidence in villages varied from zero to 439.32 per 100,000 inhabitants. According to Kulldorf’s space-time scan statistic, the most likely cluster was located in 27 villages in the south-west of Medan between January 2016 and February 2017, with a relative risk (RR) of 2.47. Getis-Ord Gi<sup>*</sup> and LISA statistics also identified these villages as hotpot areas. Significant space-time dengue clusters were identified during the study period. These clusters could be prioritized for resource allocation for more efficient prevention and control of dengue. |
first_indexed | 2024-03-09T05:18:57Z |
format | Article |
id | doaj.art-329c79a41e6c41bbb5f7d6c7c0ed583a |
institution | Directory Open Access Journal |
issn | 2414-6366 |
language | English |
last_indexed | 2024-03-09T05:18:57Z |
publishDate | 2021-03-01 |
publisher | MDPI AG |
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series | Tropical Medicine and Infectious Disease |
spelling | doaj.art-329c79a41e6c41bbb5f7d6c7c0ed583a2023-12-03T12:42:16ZengMDPI AGTropical Medicine and Infectious Disease2414-63662021-03-01613010.3390/tropicalmed6010030Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, IndonesiaAyodhia Pitaloka Pasaribu0Tsheten Tsheten1Muhammad Yamin2Yulia Maryani3Fahmi Fahmi4Archie C. A. Clements5Darren J. Gray6Kinley Wangdi7Department of Pediatrics, Medical School, Universitas Sumatera Utara, Medan 20155, North Sumatera, IndonesiaDepartment of Global Health, Research School of Population Health, The Australian National University, Acton, Canberra, ACT 2601, AustraliaMedical School, Universitas Sumatera Utara, Medan 20155, North Sumatera, IndonesiaNorth Sumatera Provincial Health Office, Medan 20232, North Sumatera, IndonesiaFaculty of Engineering, Universitas Sumatera Utara, Medan 20155, North Sumatera, IndonesiaFaculty of Health Sciences, Curtin University, Perth, WA 6102, AustraliaDepartment of Global Health, Research School of Population Health, The Australian National University, Acton, Canberra, ACT 2601, AustraliaDepartment of Global Health, Research School of Population Health, The Australian National University, Acton, Canberra, ACT 2601, AustraliaDengue has been a perennial public health problem in Medan city, North Sumatera, despite the widespread implementation of dengue control. Understanding the spatial and temporal pattern of dengue is critical for effective implementation of dengue control strategies. This study aimed to characterize the epidemiology and spatio-temporal patterns of dengue in Medan City, Indonesia. Data on dengue incidence were obtained from January 2016 to December 2019. Kulldorff’s space-time scan statistic was used to identify dengue clusters. The Getis-Ord Gi* and Anselin Local Moran’s I statistics were used for further characterisation of dengue hotspots and cold spots. Results: A total of 5556 cases were reported from 151 villages across 21 districts in Medan City. Annual incidence in villages varied from zero to 439.32 per 100,000 inhabitants. According to Kulldorf’s space-time scan statistic, the most likely cluster was located in 27 villages in the south-west of Medan between January 2016 and February 2017, with a relative risk (RR) of 2.47. Getis-Ord Gi<sup>*</sup> and LISA statistics also identified these villages as hotpot areas. Significant space-time dengue clusters were identified during the study period. These clusters could be prioritized for resource allocation for more efficient prevention and control of dengue.https://www.mdpi.com/2414-6366/6/1/30denguespatio-temporalclusteringMedanIndonesia |
spellingShingle | Ayodhia Pitaloka Pasaribu Tsheten Tsheten Muhammad Yamin Yulia Maryani Fahmi Fahmi Archie C. A. Clements Darren J. Gray Kinley Wangdi Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia Tropical Medicine and Infectious Disease dengue spatio-temporal clustering Medan Indonesia |
title | Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia |
title_full | Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia |
title_fullStr | Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia |
title_full_unstemmed | Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia |
title_short | Spatio-Temporal Patterns of Dengue Incidence in Medan City, North Sumatera, Indonesia |
title_sort | spatio temporal patterns of dengue incidence in medan city north sumatera indonesia |
topic | dengue spatio-temporal clustering Medan Indonesia |
url | https://www.mdpi.com/2414-6366/6/1/30 |
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