Mapping Of Leptospirosis Environmental Risk Factors and Determining the Level of Leptospirosis Vulnerable Zone In Demak District Using Remote Sensing Image

Siti, Rahayu; Adi, Mateus Sakundarno; Saraswati, Lintang Dian

doi:10.1051/e3sconf/20183106003

Cited by 7 publications

(9 citation statements)

References 26 publications

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“…The distribution of disease was found at the location near the natural source, Huai Samran which flows from Prang Ku to Mun River at Muang Si Sa Ket, Huai Sala has upstream from Huai Phanom Dong Rak and flows from Huai Samran. Which consistent with the previous study that found the puddles that were contaminated by rat's urine were risk factors of leptospirosis cases (Rahayu et al, 2018). Most leptospirosis cases came from rural areas.…”

Section: Resultssupporting

confidence: 92%

“…The area will gradually slope down to the north and the west, which is full of creeks, canals, swamps, various marshes throughout the distance that the Mun River and the Chi River flow through. Similar to the previous study that the average slope was significantly associated with leptospirosis occurrence in each area (Viroj et al, 2021 andRahayu et al, 2018). A study of Silva (2020) reported that the incidence of leptospirosis was associated with particularly low altitude.…”

Section: Resultssupporting

confidence: 86%

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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: 86%

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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“…It has been observed that Leptospira serovars are highly influenced by environmental conditions (Ivanova et al, ; Lau, Smythe, Craig, & Weinstein, ). For example, temperature and precipitation (Chadsuthi, Modchang, Lenbury, Iamsirithaworn, & Triampo, ; Desvars et al, ), high humidity and heavy rainfall (Barcellos & Sabroza, ; Goarant et al, ), as well as run‐offs, soil pH and primary productivity, have been associated with Leptospira occurrence (Fajriyah, Udiyono, & Saraswati, ; Rahayu, Sakundarno Adi, & Dian Saraswati, ; Smith, Turner, Bin, & Adam, ). In addition, a recent molecular study found strong positive selection for temperature adaptation in Leptospira interrogans at serovar level, suggesting that ecological features, such as different climatic conditions, may influence species and serovar conservation (Kurilung, Keeratipusana, Suriyaphol, Hampson, & Prapasarakul, ).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution and spread potential of sixteenLeptospiraserovars in a subtropical region of Brazil

Jara

Escobar

Rodriges³

et al. 2019

Transbound Emerg Dis

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Leptospirosis is a bacterial disease that represents a major problem in animal and public health due to its high prevalence and widespread distribution. This zoonotic disease is most prevalent in tropical environments where conditions favour pathogen survival. The ecological preferences of Leptospira serovars are poorly understood, limiting our knowledge of where and when outbreaks can occur, which may result in misinformed prevention and control plans. While the disease can occur consistently in time and space in tropical regions, research on the ecology of leptospirosis remains limited in subtropical regions. This research gap regarding Leptospira ecology brings public and veterinary health problems, impacting local economies. To fill this gap of knowledge, we suggest to assess geographic and ecological features among Leptospira serovars in a subtropical area of Brazil where leptospirosis is endemic to (a) highlight environmental conditions that facilitate or limit Leptospira spread and survival and (b) reconstruct its geographic distribution. An ecological niche modelling framework was used to characterize and compare Leptospira serovars in both geographic and environmental space. Our results show that despite the geographic overlap exhibited by the different serovars assessed, we found ecological divergence among their occupied ecological niches. Ecological divergences were expressed as ranges of potential distributions and environmental conditions found suitably by serovar, Sejroe being the most asymmetric (<0.15). Most important predictors for the potential distribution of most serovars were soil pH (31.7%) and landscape temperature (24.2%). Identification of environmental preferences will allow epidemiologists to better infer the presence of a serovar based on the environmental characteristics of regions rather than inferences based solely on historical epidemiological records. Including geographic and ecological ranges of serovars also may help to forecast transmission potential of Leptospira in public health and the food animal practice.

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“…Study of spatial modeling analysis of environmental factors and distribution of leptospirosis cases with overlay process to determine the level of leptospirosis vulnerable zone in Demak have been done (Rahayu et al 2018). The study had also involved social factors such as poor sewerage conditions and poor waste disposal facilities.…”

Section: Discussionmentioning

confidence: 99%

Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia

Djati¹,

Kusnoputranto

Utomo

et al. 2020

Biodiversitas

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Abstract. Djati RRAP, Kusnoputanto H, Utomo SW, Sakundarno M, Dewabrata PW, Duad HAH, Wicaksono MA. 2020. Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia. Biodiversitas 21: 5818-5828. Ecological habitats and niches of leptospirosis as one of the environmental-based diseases need to be explored in an in-depth study based on eco-social analysis. The objective of this study was to develop an integrated leptospirosis control model based on eco-social factors. The location of the study was in Demak districts, Indonesia. Geographic coordinate data of cases during 2008-2018 were determined from the survey results of District Health Offices. Climatic and environmental data were obtained from Indonesian Meteorological, Climatological, Geophysical and Geospatial Information Agencies. Data on social factors were obtained by interviewing diseased persons using in-depth interview. Recorded cases and corresponding point location environmental data were then analyzed using ArcGIS and MaxEnt programs. Social network analysis was used to describe the factors involved in efforts to control leptospirosis and the relationship. The model predicted that the intervention was biological control, which had the highest leverage to reduce the morbidity rate. Health workers played an important role in efforts to control leptospirosis, although they were supported by self-supporting roles of the community. Management and control of natural and socio-environmental risk factors are very important. Combination model based on eco-social approach would be a useful tool to design and implement appropriate leptospirosis control.

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Mapping Of Leptospirosis Environmental Risk Factors and Determining the Level of Leptospirosis Vulnerable Zone In Demak District Using Remote Sensing Image

Cited by 7 publications

References 26 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 distribution and spread potential of sixteenLeptospiraserovars in a subtropical region of Brazil

Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia

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