Analysis of FMD(Foot and Mouth Disease) Diffusion Route by using GIS in Gyeongbuk Area

Lee, Sang Yup; Baek, Gyeong Yun; Choi, Eun G.; Kim, Chi H.; Kim, Tae Hyong; Son, Won Geun; Kim, Ki Y.; Kim, Hyeon T.

doi:10.3182/20130327-3-jp-3017.00040

Cited by 2 publications

(2 citation statements)

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“…One of the best examples is the airborne virus foot-and-mouth disease (FMD). The FMD virus is capable of transmission by air up to 60 km on land and up to 250 km above water bodies ( Lee et al, 2013 ). In addition, spatial cluster causes closer places to become more vulnerable ( Lessler et al, 2016a ; Lessler, 2016b ).…”

Section: Resultsmentioning

confidence: 99%

Dynamics of Zika virus outbreaks: an overview of mathematical modeling approaches

Wiratsudakul

Suparit

Modchang

2018

PeerJ

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BackgroundThe Zika virus was first discovered in 1947. It was neglected until a major outbreak occurred on Yap Island, Micronesia, in 2007. Teratogenic effects resulting in microcephaly in newborn infants is the greatest public health threat. In 2016, the Zika virus epidemic was declared as a Public Health Emergency of International Concern (PHEIC). Consequently, mathematical models were constructed to explicitly elucidate related transmission dynamics.Survey MethodologyIn this review article, two steps of journal article searching were performed. First, we attempted to identify mathematical models previously applied to the study of vector-borne diseases using the search terms “dynamics,” “mathematical model,” “modeling,” and “vector-borne” together with the names of vector-borne diseases including chikungunya, dengue, malaria, West Nile, and Zika. Then the identified types of model were further investigated. Second, we narrowed down our survey to focus on only Zika virus research. The terms we searched for were “compartmental,” “spatial,” “metapopulation,” “network,” “individual-based,” “agent-based” AND “Zika.” All relevant studies were included regardless of the year of publication. We have collected research articles that were published before August 2017 based on our search criteria. In this publication survey, we explored the Google Scholar and PubMed databases.ResultsWe found five basic model architectures previously applied to vector-borne virus studies, particularly in Zika virus simulations. These include compartmental, spatial, metapopulation, network, and individual-based models. We found that Zika models carried out for early epidemics were mostly fit into compartmental structures and were less complicated compared to the more recent ones. Simple models are still commonly used for the timely assessment of epidemics. Nevertheless, due to the availability of large-scale real-world data and computational power, recently there has been growing interest in more complex modeling frameworks.DiscussionMathematical models are employed to explore and predict how an infectious disease spreads in the real world, evaluate the disease importation risk, and assess the effectiveness of intervention strategies. As the trends in modeling of infectious diseases have been shifting towards data-driven approaches, simple and complex models should be exploited differently. Simple models can be produced in a timely fashion to provide an estimation of the possible impacts. In contrast, complex models integrating real-world data require more time to develop but are far more realistic. The preparation of complicated modeling frameworks prior to the outbreaks is recommended, including the case of future Zika epidemic preparation.

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Section: Resultsmentioning

confidence: 99%

Dynamics of Zika virus outbreaks: an overview of mathematical modeling approaches

Wiratsudakul

Suparit

Modchang

2018

PeerJ

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“…Multifactor analysis models have been used to determine strategic actions aiming at FMD eradication in Brazil and other countries (CORBELLINI et al, 2020;EAST et al, 2013;SANTOS et al, 2017). In our case, the analysis resulted in a geographic classification of the information, another efficient approach adopted by other researchers (LEE et al, 2013;NEGREIROS et al, 2009).…”

Section: Lo = Im X Dmmentioning

confidence: 98%

Multicriteria analysis model for foot-and-mouth disease risk classification in the state of Goiás - Brazil

et al. 2023

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Foot-and-mouth disease (FMD) is a viral disease that affects several animal species, including domestic and wildlife ones. The occurrence of an FMD outbreak can potentially cause a large negative impact on countries or regions’ livestock production and economy. Performed over several decades, mass herd vaccination has been the main strategy to control the disease. However, countries are beginning the stage of eradicating FMD, which involves suspending vaccinations. The present study carried out a risk classification for FMD occurrence in Goiás State, Brazil by evaluating and combining multiple risk factors involved in FMD introduction and dissemination. Data from 126,345 rural properties were collected and categorized by municipality. The risk factors were grouped into two modules and then scores for each module were obtained by adding and weighting the risk factors. These combined scores resulted in the final FMD occurrence risk score. Most of the municipalities, as well as the herds were found in the lowest likelihood levels. Variables linked to herd density and animal movement played a key role in the score composition. We believed that this model can be a useful tool in the decision-making process regarding actions and strategies related to FMD eradication.

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Analysis of FMD(Foot and Mouth Disease) Diffusion Route by using GIS in Gyeongbuk Area

Cited by 2 publications

References 4 publications

Dynamics of Zika virus outbreaks: an overview of mathematical modeling approaches

Dynamics of Zika virus outbreaks: an overview of mathematical modeling approaches

Multicriteria analysis model for foot-and-mouth disease risk classification in the state of Goiás - Brazil

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