Application of the Analytic Hierarchy Process to a Risk Assessment of Emerging Infectious Diseases in Shaoxing City in Southern China

Tu, Chunyu; Fang, Yirong; Huang, Zhaohui; Tan, Rong

doi:10.7883/yoken.67.417

Cited by 12 publications

(11 citation statements)

References 18 publications

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“…It uses objective mathematics to process the subjective and personal preferences in decision making [27]. AHP has been used in risk assessment of emerging infectious diseases (EIDs) [18] including Dengue [20]. Tu et al [18] assessed the likelihood of epidemic of EIDs by generating a 3-layer hierarchy with 14 evaluation factors.…”

Section: Discussionmentioning

confidence: 99%

“…AHP has been used in risk assessment of emerging infectious diseases (EIDs) [18] including Dengue [20]. Tu et al [18] assessed the likelihood of epidemic of EIDs by generating a 3-layer hierarchy with 14 evaluation factors. He et al [20] used AHP to assess the risk of local transmission of Dengue caused by introduced cases.…”

Section: Discussionmentioning

confidence: 99%

“…The final risk index (RI) for each district/county was calculated by summing up natural risk (NR), mosquito-borne risk (MR), endemic risk (ER), economic and social risk (ESR) [18]. …”

Section: Methodsmentioning

confidence: 99%

“…An indicator pool was generated with reference to a range of existing studies [18, 22, 23] and consultations with experts. First, we searched related literature databases, including MEDLINE, PubMed, and China National Knowledge Infrastructure (CNKI).…”

Section: Methodsmentioning

confidence: 99%

“…It has been widely used to analysis environmental impact assessments [16, 17] and infectious diseases [18–20]. As a semi-quantitative method, AHP offers accurate assessment of risk factors and spatial/seasonal distribution for infectious diseases, which could help to provide precise prevention and control strategies.…”

Section: Introductionmentioning

confidence: 99%

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Application of the analytic hierarchy approach to the risk assessment of Zika virus disease transmission in Guangdong Province, China

Liu

Lin

et al. 2017

BMC Infect Dis

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BackgroundAn international spread of Zika virus (ZIKV) infection has attracted global attention in 2015. The infection also affected Guangdong province, which is located in southern China. Multiple factors, including frequent communication with South America and Southeast Asia, suitable climate (sub-tropical) for the habitat of Aedes species, may increase the risk of ZIKV disease transmission in this region.MethodsAn analytic hierarchy process (AHP) method was used to develop a semi-quantitative ZIKV risk assessment model. After selecting indicators, we invited experts in related professions to identify the index weight and based on that a hierarchical structure was generated. Then a series of pairwise comparisons were used to determine the relative importance of the criteria. Finally, the optimal model was established to estimate the spatial and seasonal transmission risk of ZIKV.ResultsA total of 15 factors that potentially influenced the risk of ZIKV transmission were identified. The factor that received the largest weight was epidemic of ZIKV in Guangdong province (combined weight [CW] =0.37), followed by the mosquito density (CW = 0.18) and the epidemic of DENV in Guangdong province (CW = 0.14). The distribution of 123 districts/counties’ RIs of ZIKV in Guangdong through different seasons were presented, respectively.ConclusionsHigher risk was observed within Pearl River Delta including Guangzhou, Shenzhen and Jiangmen, and the risk is greater in summer and autumn compared to spring and winter.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…The final risk index (RI) for each district/county was calculated by summing up natural risk (NR), mosquito-borne risk (MR), endemic risk (ER), economic and social risk (ESR) [18]. …”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of the analytic hierarchy approach to the risk assessment of Zika virus disease transmission in Guangdong Province, China

Liu

Lin

et al. 2017

BMC Infect Dis

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Incorporating Preferences and Priorities into MCDA: Selecting an Appropriate Scoring and Weighting Technique

Marsh

Thokala

Mühlbacher

et al. 2017

Multi-Criteria Decision Analysis to Support Healthcare Decisions

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A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment

Ghoushchi

Bonab

Ghiaci

2023

Stoch Environ Res Risk Assess

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100 years after the Spanish flu, the COVID-19 crisis showed that large-scale epidemics and pandemics do not belong to the past. On the report of the World Health Organization, COVID-19 is the most significant public health problem of the twenty-first century. Like previous epidemics, the current crisis is accompanied by uncertainty, mistrust, doubt and fear, and this has led to an infodemic connection to the epidemic. So not only are we fighting an epidemic, but also, we are brawling an infodemic. To reduce the social and economic consequences and harmful effects of infodemic health, and to overcome it, we need to implement strategies against infodemic. Evaluating strategies based on multiple characteristics can be considered multi-criteria decision-making (MCDM) problem. According to the literature, there is no study that aims on proposing an integrated approach to evaluate infodemic management strategies under uncertain environment. Therefore, in this paper, an integrated framework based on the extended version of best–worst method (BWM) and Combined Compromise Solution (CoCoSo) methods under a spherical fuzzy set (SFS) is developed for the first time to address the COVID-19 infodemic management strategies selection. Initially, the criteria are weighted using the developed SFS BWM which reduces uncertainty in pairwise comparisons. In the next step, the 15 selected strategies are analyzed and ranked using SFS CoCoSo. The outputs of this paper illustrate that online tools for fact checking COVID-19 information and engage and empower communities are placed in the first and second priorities, respectively. The comparison of ranking results SFS-CoCoSo with other MCDM methods demonstrates the performance of the proposed approach and its ranking stability.

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Application of the Analytic Hierarchy Process to a Risk Assessment of Emerging Infectious Diseases in Shaoxing City in Southern China

Cited by 12 publications

References 18 publications

Application of the analytic hierarchy approach to the risk assessment of Zika virus disease transmission in Guangdong Province, China

Application of the analytic hierarchy approach to the risk assessment of Zika virus disease transmission in Guangdong Province, China

Incorporating Preferences and Priorities into MCDA: Selecting an Appropriate Scoring and Weighting Technique

A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment

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