Evaluation of spatial risk factor for leptospirosis outbreak using GIS application

Hassan, Ahmad Afiq; Tahar, Khairul Nizam

doi:10.21833/ijaas.2016.07.010

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…The distribution of leptospirosis in Si Sa Ket shows that the high incidence area is located in lowland areas with sandy loam, agricultural land, rice farming area, and low-risk area is located in a forestry area. Which consistent with a study of Hassan and Tahar (2016) reported that the high-risk area is located at the agricultural area. A study of Rood et al, (2017) found that land use is an important variable for leptospirosis cases spreading.…”

Section: Resultssupporting

confidence: 92%

“…In Si Sa ket, the population density at that location, the higher potential for leptospirosis incidence will happen on that location. Similar to previous studies reported that population size was positively and significantly associated with leptospirosis (Rahayu et al, 2018, Hassan and Tahar, 2016and Viroj et al, 2021. A study of Rood et al, (2017) reported that the percentage of the population between 45-64 years of age were found to be significantly associated with leptospirosis incidence rates.…”

Section: Resultssupporting

confidence: 89%

“…A study of Rood et al, (2017) found that land use is an important variable for leptospirosis cases spreading. Different from the previous study found that the forestry area was high-risk of leptospirosis (Hassan and Tahar, 2016). A study of Rood et al, (2017), the leptospirosis transmission was higher in areas with high coverage of sabulous clay soils.…”

Section: Resultscontrasting

confidence: 63%

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Leptospirosis in Si Sa Ket, Thailand: Incidence and Factors of Death during 2010-2019

Toemjai

Thongkrajai

Noradee

et al. 2021

IJG

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Leptospirosis is an emerging public health problem in Thailand especially Si Sa Ket. The aims of this study were to determine the leptospirosis incidence and factors of death among leptospirosis patients in Si Sa Ket. This study was performed during 2010-2019 from the 506-surveillance report of leptospirosis to the Sisaket Provincial Public Health Office and the National Disease Surveillance System, Bureau of Epidemiology, Ministry of Public Health, Thailand. The data was using the definition of leptospirosis patient for disease surveillance. Multiple logistic regression analysis was performed to evaluate factors of death. A total of 3,988 cases were reported from 22 districts, mainly in rural settings. The incidence rate for leptospirosis was 27.15 per 100,000 population. The dramatic phenomenal of epidemiological characteristics of leptospirosis in Si Sa Ket include a peak incidence in August and October in association with the rainy season. Seventy-four point eight percent of subjects were male, 24.5% were aged 45-54 years and 78.3% were agricultural workers. A total number of 86 deaths were registered in 19 districts. Mortality was higher in males (80.2%). The fatality rate was 2.16%. Significant factors of death found on multiple logistic regression analysis were agricultural workers (Adjusted OR=2.51, 95% CI: 1.15-5.49) and the duration of seeking for medical care >3 days after onset (Adjusted OR=2.45, 95% CI: 1.30-4.61). To reduce the burden disease, the promotion of preventive health behavior, early recognition and treatment of patients have been shown to reduce the severity of illness and death.

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Section: Resultssupporting

confidence: 92%

Section: Resultssupporting

confidence: 89%

Section: Resultscontrasting

confidence: 63%

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Leptospirosis in Si Sa Ket, Thailand: Incidence and Factors of Death during 2010-2019

Toemjai

Thongkrajai

Noradee

et al. 2021

IJG

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“…While Knox test was used to assess global spatial clustering of the leptospirosis over space and time (Bennett & Everard, ). Localized spatial clustering techniques were applied to determine hot spots, including Local Indicators of Spatial Association (LISA) ( n = 3; Mohd Radi et al, ; Rood et al, ; Soares et al, ) and Getis and Ord's ( G i * ; n = 3; Hassan & Tahar, ; Mayfield, Lowry, et al, ; Suwanpakdee et al, ). Both global and local tests for clustering were only applied in few number of studies (14.28%; n = 3/21; Lau, Clements, et al, ; Rood et al, ; Soares et al, ).…”

Section: Resultsmentioning

confidence: 99%

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Dhewantara

Lau

Allan

et al. 2018

Zoonoses and Public Health

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Leptospirosis is a global zoonotic disease that the transmission is driven by complex geographical and temporal variation in demographics, animal hosts and socioecological factors. This results in complex challenges for the identification of high‐risk areas. Spatial and temporal epidemiological tools could be used to support leptospirosis control programs, but the adequacy of its application has not been evaluated. We searched literature in six databases including PubMed, Web of Science, EMBASE, Scopus, SciELO and Zoological Record to systematically review and critically assess the use of spatial and temporal analytical tools for leptospirosis and to provide general framework for its application in future studies. We reviewed 115 articles published between 1930 and October 2018 from 41 different countries. Of these, 65 (56.52%) articles were on human leptospirosis, 39 (33.91%) on animal leptospirosis and 11 (9.5%) used data from both human and animal leptospirosis. Spatial analytical (n = 106) tools were used to describe the distribution of incidence/prevalence at various geographical scales (96.5%) and to explored spatial patterns to detect clustering and hot spots (33%). A total of 51 studies modelled the relationships of various variables on the risk of human (n = 31), animal (n = 17) and both human and animal infection (n = 3). Among those modelling studies, few studies had generated spatially structured models and predictive maps of human (n = 2/31) and animal leptospirosis (n = 1/17). In addition, nine studies applied time‐series analytical tools to predict leptospirosis incidence. Spatial and temporal analytical tools have been greatly utilized to improve our understanding on leptospirosis epidemiology. Yet the quality of the epidemiological data, the selection of covariates and spatial analytical techniques should be carefully considered in future studies to improve usefulness of evidence as tools to support leptospirosis control. A general framework for the application of spatial analytical tools for leptospirosis was proposed.

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Evaluation of spatial risk factor for leptospirosis outbreak using GIS application

Cited by 2 publications

References 2 publications

Leptospirosis in Si Sa Ket, Thailand: Incidence and Factors of Death during 2010-2019

Leptospirosis in Si Sa Ket, Thailand: Incidence and Factors of Death during 2010-2019

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

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