A cooperative approach to animal disease response activities: Analytical hierarchy process (AHP) and vvIBD in California poultry

Saito, Emi K.; Shea, Supie; Jones, Annette; Ramos, Gregory; Pitesky, Maurice

doi:10.1016/j.prevetmed.2015.06.001

Cited by 12 publications

(9 citation statements)

References 33 publications

(33 reference statements)

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“…The similarity between the WHO list of prioritized diseases and those found in other studies suggests a degree of consistency with previous findings (8)(9)(10)(11)13,14,35,41). The results of the sensitivity analysis demonstrate that the R&D Blueprint ranking is robust, corresponding with earlier observations that the analytic hierarchy process is not sensitive to minor changes in criteria weights (55). Even when major changes on the weight of criteria were applied, the final ranking remained largely stable.…”

Section: Discussionsupporting

confidence: 85%

“…Past prioritization processes have used sensitivity analysis, commonly with lower and upper 95% CIs (31). Other processes included modifying the weight of criteria used (9,55) and removing them one at a time (55). We describe a series of sensitivity analyses, including setting all the criteria at the same weight, removing 1 criterion at a time, increasing the weight of each criterion by 20%, and doubling the weight of a criterion.…”

Section: Sensitivity Analysis and Confidence Estimationmentioning

confidence: 99%

“…We describe a series of sensitivity analyses, including setting all the criteria at the same weight, removing 1 criterion at a time, increasing the weight of each criterion by 20%, and doubling the weight of a criterion. This approach to sensitivity analysis enables assessment of the impact of different scenarios on the final disease ranking and provides important insights into the robustness of the ranking and the impact of potential biases (9,55).…”

Section: Sensitivity Analysis and Confidence Estimationmentioning

confidence: 99%

See 2 more Smart Citations

World Health Organization Methodology to Prioritize Emerging Infectious Diseases in Need of Research and Development

Mehand¹,

Millett²,

Al-Shorbaji³

et al. 2018

Emerg. Infect. Dis.

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The World Health Organization R&D Blueprint aims to accelerate the availability of medical technologies during epidemics by focusing on a list of prioritized emerging diseases for which medical countermeasures are insufficient or nonexistent. The prioritization process has 3 components: a Delphi process to narrow down a list of potential priority diseases, a multicriteria decision analysis to rank the short list of diseases, and a final Delphi round to arrive at a final list of 10 diseases. A group of international experts applied this process in January 2017, resulting in a list of 10 priority diseases. The robustness of the list was tested by performing a sensitivity analysis. The new process corrected major shortcomings in the pre–R&D Blueprint approach to disease prioritization and increased confidence in the results.

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Section: Discussionsupporting

confidence: 85%

Section: Sensitivity Analysis and Confidence Estimationmentioning

confidence: 99%

Section: Sensitivity Analysis and Confidence Estimationmentioning

confidence: 99%

See 1 more Smart Citation

World Health Organization Methodology to Prioritize Emerging Infectious Diseases in Need of Research and Development

Mehand¹,

Millett²,

Al-Shorbaji³

et al. 2018

Emerg. Infect. Dis.

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“…Many publications have addressed the new coronavirus in terms of its clinical characteristics, immunological studies, and the international spread of COVID-19 (El Zowalaty and Järhult, 2020;Wu et al, 2020;Chang et al, 2020;Velavan and Meyer, 2020;Ahmed et al, 2020;Al-rabiaah et al, 2020;Chen et al, 2020;Gao et al, 2020;Lai et al, 2020a;Lai et al, 2020b;Level et al, 2019;Mallapaty, 2020;Xu et al, 2020;Zhang et al, 2020. A few studies investigating its spread have produced risk maps either for COVID-19 during an outbreak or for similar coronavirus respiratory syndromes (Wu et al, 2020;Chen et al, 2018), or even for risk assessments of other global viral diseases (Dom et al, 2016;Li et al, 2017;Sabir et al, 2015;Saito et al, 2015;Sarfraz et al, 2014;Tu et al, 2014. Given the clinical severity of COVID-19 infection, the extent of the outbreak, and public concern, it is important to establish accurate epidemiological limitations, thus solid information is essential for inputs into models. In general, there are too many factors on each pandemic disease, including environmental, agro-ecological, and meteorological variables.…”

mentioning

confidence: 99%

Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020)

Pourghasemi¹,

Pouyan²,

Heidari³

et al. 2020

International Journal of Infectious Diseases

118

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Objectives: Coronavirus disease 2019 (COVID-19) represents a major pandemic threat that has spread to more than 212 countries with more than 432,902 recorded deaths and 7,898,442 confirmed cases worldwide so far (on June 14, 2020). It is crucial to investigate the spatial drivers to prevent and control the epidemic of COVID-19. Methods: This is the first comprehensive study of COVID-19 in Iran; and it carries out spatial modeling, risk mapping, change detection, and outbreak trend analysis of the disease spread. Four main steps were taken: comparison of Iranian coronavirus data with the global trends, prediction of mortality trends using regression modeling, spatial modeling, risk mapping, and change detection using the random forest (RF) machine learning technique (MLT), and validation of the modeled risk map. Results: The results show that from February 19 to June 14, 2020, the average growth rates (GR) of COVID-19 deaths and the total number of COVID-19 cases in Iran were 1.08 and 1.10, respectively. Based on the

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“…MCDM techniques actually assist decision makers to choose the most reasonable program by assessing such problems. As far as we know, many methods exist for evaluating traffic problems: for example, the AHP, [13][14][15][16] the FAHP, [17][18][19] TOPSIS, 20 AHP-TOPSIS, 21 AHP-evidential reasoning, 22,23 GRA, Decision-Making and Evaluation Laboratory (DEMATEL), and the AHP-TOPSIS-GC. 24,25 At present, many scholars have done an in-depth study of traffic problems, and most of researches focus on MCDM techniques.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of traffic congestion degree: An integrated approach

Hao

Feng

Zhang

et al. 2017

International Journal of Distributed Sensor Networks

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Intersection traffic congestion evaluation is essential for effective intelligent transportation system planning, and an objective and precise assessment of traffic congestion is vital to ensure the smooth circulation of traffic. Multiple criteria decision-making is a method for evaluating the degree of traffic congestion. A hybrid multiple criteria decision-making method integrating the fuzzy analytic hierarchy process, techniques for order preference by similarity to an ideal solution, and gray correlation techniques are presented in this work. The proposed method applied fuzzy analytic hierarchy process to determine the weight of the evaluation index; subsequently, gray correlation techniques for order preference by similarity to an ideal solution were integrated to construct the hybrid decision-making method. A case study of traffic congestion at intersections with five evaluation indexes verified the effectiveness of the hybrid method. The evaluation results of the different methods show that the proposed method overcomes the one-sidedness of analytical hierarchy process-techniques for order preference by similarity to an ideal solution and analytical hierarchy process-gray correlation. Thus, the proposed hybrid decision-making model provides a more accurate and reliable method for evaluating the degree of traffic congestion.

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A cooperative approach to animal disease response activities: Analytical hierarchy process (AHP) and vvIBD in California poultry

Cited by 12 publications

References 33 publications

World Health Organization Methodology to Prioritize Emerging Infectious Diseases in Need of Research and Development

World Health Organization Methodology to Prioritize Emerging Infectious Diseases in Need of Research and Development

Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020)

Evaluation of traffic congestion degree: An integrated approach

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