| Literature DB >> 25302612 |
Cassidy Logan Rist1, Carmen Sofia Arriola1, Carol Rubin1.
Abstract
Emerging and re-emerging zoonotic diseases pose a threat to both humans and animals. This common threat is an opportunity for human and animal health agencies to coordinate across sectors in a more effective response to zoonotic diseases. An initial step in the collaborative process is identification of diseases or pathogens of greatest concern so that limited financial and personnel resources can be effectively focused. Unfortunately, in many countries where zoonotic diseases pose the greatest risk, surveillance information that clearly defines burden of disease is not available. We have created a semi-quantitative tool for prioritizing zoonoses in the absence of comprehensive prevalence data. Our tool requires that human and animal health agency representatives jointly identify criteria (e.g., pandemic potential, human morbidity or mortality, economic impact) that are locally appropriate for defining a disease as being of concern. The outcome of this process is a ranked disease list that both human and animal sectors can support for collaborative surveillance, laboratory capacity enhancement, or other identified activities. The tool is described in a five-step process and its utility is demonstrated for the reader.Entities:
Mesh:
Year: 2014 PMID: 25302612 PMCID: PMC4193859 DOI: 10.1371/journal.pone.0109986
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Methods used for criteria selection, weighting and scoring of pathogens.
| Method | Definition | Examples |
| Qualitative | Qualitative methods rely on subjective individualpreference and, in group settings, are often based ona process that creates consensus among group members | Delphi method |
| Semi-quantitative | Semi-quantitative methods also rely on individualpreference, but allow choices to be ranked relativeto each other using a numerical scale | Analytic HierarchyProcess |
| Quantitative | Quantitative methods rely on numerical scalesthat are designed to reflect objective values(e.g. prevalence or incidence) | Decision Tree Analysis |
*The nature of the questions used in the decision tree will determine if the process is quantitative or semi-quantitative.
Summary of publications on the prioritization of infectious diseases at the national or regional level*.
| Author | Purpose ofPrioritization(Country/Region) | No. ofPathogensRanked | No. ofCriteriaUsed | Methods Used | |||
| To SelectCriteria | ToRank/WeightCriteria | To ScorePathogens | To DetermineFinal Pathogen Rank | ||||
| Doherty J,2000 | To establishpriorities for nationalcommunicabledisease surveillance(Canada) | 43 | 10 | Discussionby 10 SMEs | Equal weight | Consensusscoring usingthe Delphimethod | Sum of pathogenscores |
| McKenzie Jet al., 2007 | To prioritizepathogens for awildlife diseasesurveillance strategy(New Zealand) | 82 | 3 | Not stated | Equal weight | Individualscoring byunstatednumber ofteammembersusing bothquantitativeand semi-quantitativescales. Eachpathogenscored byonly oneperson | Multiplication ofall three criteriascores |
| Cardoen Set al., 2009 | To prioritize food-and water-bornezoonoses most relevantas hazards in the foodchain (Belgium) | 51 | 5 | Not stated | Weightsassigned by 7risk managersusing thesemi-quantitativeLas Vegasmethod | Individualscoring by 35SMEs using asemi-quantitativescale: 0–4.Mean scoreused in finalanalysis | Sum [criterionweight × pathogen score] |
| Havelaar ATet al., 2010 | To support thedevelopment ofnational surveillancesystems for emergingzoonoses (Netherlands) | 86 | 7 | Not stated | Weightsassigned by7 riskmanagers,11 SMEs,and 11medicaland veterinarystudentsusing thequantitativemethod ofprobabilisticinversion | Scored using aquantitativenatural scalewith 4–5 levelsfor eachcriterion. Pointscorerepresentingcentral value inrange used forfinal analysis | Linear model usedto combinecriteria weightswith transformedpoint scores foreach pathogen |
| Balabanova Yet al., 2011 | To rank commonpathogens based ontheir importance fornational surveillanceand epidemiologicalresearch in order toguide future research(Germany) | 127 | 10 | Not stated | Weightsassigned by86 SMEsusing semi-quantitativescoring scale0–10. Averageof medianscore used asfinal weight | Consensus scoringusing the Delphimethod | Sum [criterionweight × pathogen score] |
| Humblet MFet al., 2012 | To prioritize 100animal diseases andzoonoses (Europe) | 100 | 57 dividedinto 1 of 5categories | Discussion bySMEs | Weightsassigned by40 SMEsusing thesemi-quantitativeLas Vegasmethod | Individual scoringby 40 SMEs usingasemi-quantitativescale: 0–7. Meanscore used in finalanalysis | Sum [5 categoryscores] where:Categoryscore = Sum [criterion weight× pathogen score]× category weight |
| Ng V andSargeant JM,2012 | To describe asystematic andquantitative approachto the prioritizationof zoonoses in NorthAmerica involvingpublic participants(United States andCanada) | 62 | 21 | Nominal grouptechnique | Criteria scoresdeterminedby emailedsurveys to1,539members ofthe publicusing thequantitativeConjointAnalysismethod | Scored usingquantitative 3–4level scaledefined based onrange of valuesexhibited in theliterature | Hierarchical Bayesmodels fitted toderive CA-weighted scores |
| Ng V andSargeant JM,2013 | To develop a point-scoring system toderive a recommendedlist of zoonoses forprioritization (UnitedStates and Canada) | 62 | 21 | Nominal grouptechnique usedin focus groupswith 54participantsfrom medical,veterinary andnon-healthbackgrounds | Criteria scoresdeterminedby emailedsurveys to1,471 healthprofessionalsusing thequantitativeConjointAnalysismethod | Scored usingquantitative 3–4level scale definedbased on range ofvalues exhibitedin the literature | Hierarchical Bayesmodels fitted toderive CA-weighted scores |
| Cediel N et al.,2013 | To establish prioritiesfor zoonosessurveillance,prevention and control(Colombia) | 32 | 12 | Based oncriteriadevelopedby Krause etal., 2009 | Weightsassigned by12 SMEs usingsemi-quantitativescoring scale 0–12. Average ofmedian scoresused as finalweight | Consensus scoringusing the Delphimethod | Sum [criterionweight × pathogen score] |
| Batzukh Zet al., 2013 | To strengthensurveillance andresponse activitiesand laboratorycapacity betweenhuman, animal andenvironmental sectors(Mongolia) | 29 | Not stated | Not stated | Not stated | Not stated | Not stated |
*Only publications that include a final ranked list of pathogens are referenced in the table.
Figure 1The five steps of the prioritization process using the One Health Zoonotic Disease Prioritization Tool.
Example criteria and categorical questions used in Steps 2 and 3 of the OHZDP Tool to prioritize zoonotic diseases (ZD).
| Examples of Criteria for Selection | Examples of Candidate CategoricalQuestions Used to Define Each Criteria |
| Transmission potential betweenhumans and animals |
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| Epidemic/pandemic potential in humans |
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| Bioterrorism potential |
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| Amenability to collaborate/collaborationalready established |
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| Economic burden of disease |
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| Severity of illness in humans |
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| Ability to prevent/control the zoonoticdisease in the country |
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*The handout is provided to participants to stimulate conversation and is not intended as an exhaustive list of possibilities.
Only one categorical question is chosen to represent each criterion.
Figure 2An example of decision tree analysis (Step 5 in the OHZDP Tool) for rabies.
The criteria and questions shown are examples only, provided to show the process of how each zoonotic disease is scored. Criteria and questions are developed and given weights by the stakeholder representatives during the facilitated group work in Steps 2–5. Weighted scores for each question are summed to give the total weighted score for each pathogen; total weighted scores are normalized in relation to the maximum pathogen score to give a final ranked list.