Skip to main content

Surveillance systems evaluation: a systematic review of the existing approaches



Regular and relevant evaluations of surveillance systems are essential to improve their performance and cost-effectiveness. With this in mind several organizations have developed evaluation approaches to facilitate the design and implementation of these evaluations.


In order to identify and to compare the advantages and limitations of these approaches, we implemented a systematic review using the PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses).


After applying exclusion criteria and identifying other additional documents via citations, 15 documents were retained. These were analysed to assess the field (public or animal health) and the type of surveillance systems targeted; the development process; the objectives; the evaluation process and its outputs; and the attributes covered. Most of the approaches identified were general and provided broad recommendations for evaluation. Several common steps in the evaluation process were identified: (i) defining the surveillance system under evaluation, (ii) designing the evaluation process, (iii) implementing the evaluation, and (iv) drawing conclusions and recommendations.


A lack of information regarding the identification and selection of methods and tools to assess the evaluation attributes was highlighted; as well as a lack of consideration of economic attributes and sociological aspects.

Peer Review reports


The concepts underpinning surveillance and the number of different surveillance systems in use have expanded rapidly in recent years [1]. These systems have been developed in various fields, either public health (PH), animal health (AH), environmental health (EH), or more recently, combining these sectors in a one health (OH) approach [2].

Although the need for effective surveillance systems has long been recognized, there is increasing international pressure to improve the effectiveness of those systems even further [3]. The capacity of surveillance systems to accurately describe patterns of diseases is of public health importance. Therefore, regular and relevant evaluations of these systems are critical in order to improve their performance and efficiency [4]. Depending on epidemiological, sociological and economic factors, disease surveillance systems can be complex, meaning that multiple attributes are required to assess their performance and many different methods and tools are needed to evaluate them.

Several organizations or institutions have developed their own approaches for conducting evaluations of surveillance systems, and for providing relevant recommendations. These approaches path the way for developing evaluation strategies, to help evaluators to generate data in order to address specific evaluation question(s) required for management and decision-making [5]. Nonetheless, Klaucke highlighted that ‘each evaluation should be individually tailored’, due to the fact that surveillance systems vary widely in their methods, scope, and objectives [6]. This highlights the need for these evaluation approaches to be flexible enough to allow for these variations in surveillance systems.

The purposes of this review were therefore to identify and analyse the existing health surveillance systems evaluation approaches in order to allow end users (i.e. decision makers in health surveillance programs at all administrative levels of implementation) to select the most appropriate approach based on their objective(s) and also to inform the development of an evaluation framework within the RISKSUR project a (Risk-based animal health surveillance systems). This review follows up on a review performed recently by Drewe and co-workers [3] which focused on the technical aspects of the evaluation process (i.e. which attributes to assess and which assessment methods to use), by taking a broader approach to examine the approaches developed to conduct these evaluations. The specific objectives of this study were to assess the advantages and limitations of these approaches; and to identify the existing gaps in order to assess the potential needs for improvement in the evaluation guidance process and thereby inform the design of a comprehensive evaluation framework.


Literature sources and search strategy

A systematic literature search was conducted according to the PRISMA requirements (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) [7], using CAB abstract (Commonwealth Agricultural Bureau), Web of Science, Medline, Google Scholar, and Scopus to identify articles. The literature search focused on papers published between 1992 and January 2013. It was restricted to the English language, and to articles with available abstracts. Four domains were included in the search, with several keywords for each: surveillance (“surveillance or report* or monitor*”), evaluation (“evaluat* or assess* or analys*”), framework (“framework or guideline or method* or tool”), and health (“health or bioterrorism or public security”).

Four search algorithms using the corresponding Medical Subject Headings (MeSH) key words were used, targeting the same domains as the previous search:

  • [“health information system” OR “health surveillance” OR “health information network”] + “evaluation guidelines” + [methods OR tools]

  • [“health information system” OR “health surveillance” OR “health information network”] + “evaluation framework” + [methods OR tools]

  • [“health information system” OR “health surveillance” OR “health information network”] + “assessment guidelines” + [methods OR tools]

  • [“health information system” OR “health surveillance” OR “health information network”] + “assessment framework” + [methods OR tools]

Some exclusion criteria were directly used during this second search process: “surgical procedures”, “drug treatment”, “risk management”, “risk analysis”, “cancer”, “clinical trial”, and “risk assessment”.

Additionally, six documents were identified from the references of included articles and were subsequently added to the systematic review.

Study selection and data extraction

The literature retrieval process was done through two screening phases. The first screening phase was applied to the titles and abstracts; the second phase was applied to the full texts. For each phase, nine exclusion criteria were applied: articles not stating at least one of the following terms (public health, animal health/disease, environmental health, bioterrorism, public security, performance indicators) (i); articles describing evaluations of test performance (ii) or success rate of surgical procedures (iii) or drug treatment (iv); and results of a surveillance system rather than the performance of the system itself (v); articles related to the evaluation of surveillance tools rather than evaluation of the system (vi), articles describing the importance of the evaluation rather than the evaluation process (vii), articles not related to the evaluation of surveillance (viii), and articles describing results from an evaluation rather than describing the method (ix).

From the articles finally selected, the following data were extracted: the surveillance field (human or animal health), the category of surveillance system considered and the type of evaluation proposed; the evaluation approach development process; the evaluation objectives; the evaluation process; the assessment process; and practical applications (if any). A comparative analysis of completeness and practicality of the different evaluation approaches was performed. In this way, all practical elements for evaluation were extracted from the references and a complete list was designed.

Classification of the approaches

A variety of terms were used to describe the existing approaches and it was not clear why authors had selected these. Therefore, we have used the following definitions for these terms in this review:

  • A framework is considered to be skeletal support used as the basis for something being constructed; it is an organization of concepts that provides a focus for inquiry [8,9].

  • A guideline can be defined as a document to be followed in the performance of certain tasks; this provides recommendations (a set of standards or criteria) for the steps that should be used to achieve a desired goal [10,11].

  • A method provides information about how to accomplish an end; it is a regular and systematic way of accomplishing something [12].

  • A tool can be defined as a process with a specific purpose; it is used as a mean of performing an operation or achieving an end [13,14].

In other words, frameworks would help users to define what to take into consideration in the evaluation process; guidelines would inform the different steps needed to conduct the evaluation; methods would detail how to implement the evaluation (what to assess and how); and tools would not only provide a methodology but also include practical elements to be used to conduct the evaluation (e.g. spreadsheets, questionnaires).


The literature search identified a total of 521 records (Figure 1). Three were not available and have been excluded [15-17]. The remaining articles were screened and a total of 15 articles remained (Figure 1).

Figure 1
figure 1

PRISMA flow chart diagram of studies selection process to include in the systematic review.

Field of application and category of evaluation approaches

Among the identified approaches, ten originated from the public health surveillance field [5,18-26]; three from animal health surveillance [27-29]; one from environmental health surveillance [30]; and one both from animal and public health surveillance [31] (Table 1).

Table 1 Category, surveillance field and objective(s) of the approaches used for the evaluation of surveillance systems

Seven approaches were defined by their authors as frameworks [5,21-24,28,30]; two as guidelines [20,26]; two as methods [29,31]; and four as tools [18,19,25,27] (Table 1). However according to the reviewed definitions provided above, most of the approaches (13/15) could be defined either as frameworks or guidelines as they would provide a general or structured roadmap for the evaluation process [5,19-26,28-31] (Table 1). Eight approaches provided systematic information about how the evaluation should be carried out and could therefore be defined as methods [5,18-20,27-29,31], but only three approaches provided practical tools to implement the evaluation (two in PH [18,19] and one in AH [27]) (Table 1).

Approach development processes and case study applications

The development process was clearly described in four out of the 15 approaches [27-30] (Table 1). Three approaches were designed through expert opinion [27-29]. The SERVAL framework (Surveillance evaluation framework) [28] was developed by 16 experts in surveillance, and reviewed by 14 others. The Critical Control Point (CCP) method [29] was derived from the Hazard Analysis Critical Control Point method (HACCP), and submitted to a panel of experts using a Delphi consultation method. The OASIS tool (Outil d’analyse des systèmes de surveillance) [27] was designed through the combination of three assessment methods (Surveillance Network Assessment Tool, CCP, and the Centre for Disease Control and prevention (CDC) and the World Health Organisation (WHO) guidelines), and was submitted to an expert opinion elicitation process. The framework on environmental public health surveillance programs [30] was developed based on results from a stepwise review of environmental surveillance and monitoring systems data, in order to identify indicators and examine criteria used in environmental health. The framework for evaluating military surveillance systems for early detection [22] was based on the CDC framework for evaluating public health surveillance systems for early detection of outbreaks [24]. However the CDC framework development process was not described in the publication.

Two approaches were developed based on case studies, which are not described in the articles [22,30]; one was specifically developed for European Union surveillance systems [23], and four have been supported by case studies which are directly described in the corresponding publication [27-29,31] (Table 1). The SERVAL framework [28] was tested on three British surveillance systems, targeting different surveillance objectives: demonstration of freedom of Brucella melitensis in sheep and goats by serological surveillance; early detection of classical swine fever in pigs (exotic disease); and surveillance of endemic tuberculosis in cattle. The conceptual evaluation of veterinary and public health surveillance programs method [31] was applied to the evaluation of the National Integrated Enteric Pathogen Surveillance Program in Canada (C-EnterNet; The OASIS evaluation tool [27] has been applied to the evaluation of five surveillance systems, but only the evaluation of the French surveillance network for antimicrobial resistance in pathogenic bacteria from animal origin (RESAPATH) was described in the article [27]. The CCP method developed by Dufour [29] was tested on two surveillance systems described in the “Epidemiological surveillance in animal health” book [32]. These case studies targeted the French RENESA network (Evolution of mycoplasmosis and salmonellosis rates in poultry); and the French Foot and Mouth Disease (FMD) surveillance network in cattle.

Objectives of the evaluation and description of the evaluation process

According to the area and to the type of surveillance, three main objectives were identified (Table 1): evaluate surveillance systems performance and effectiveness (for 12 approaches [5,20-30]), design efficient surveillance systems (2 approaches [18,19]), and evaluate the completeness of the surveillance systems in terms of core components (one approach [31]).

Fourteen out of the 15 approaches provided an evaluation process structured around 3 to 6 steps [5,19-31] (Table 2), highlighting four common stages in the evaluation process: (i) defining the surveillance system under evaluation, (ii) designing the evaluation process, (iii) implementing the evaluation, and (iv) drawing conclusions and recommendations.

Table 2 Steps of the evaluation process provided by the identified evaluation approaches; along with absence or presence of the different practical element retrieved from the analysis

Description of the assessment process: evaluation attributes

A total of 49 distinct evaluation attributes were identified through this systematic review. Attributes which were considered only in one evaluation approach have been removed from the analysis for more clarity. The number of approaches taking into consideration each attribute is presented in Figure 2. The attributes could be grouped into 4 different categories linked to the aspect of the surveillance systems they evaluate: effectiveness, functional, value, and organizational attributes [33].

Figure 2
figure 2

Number of evaluation approaches which take into consideration each evaluation attribute identified in this review.

The evaluation approaches most frequently focused on attributes related to the effectiveness of the system (Figure 2), especially timeliness which was included in all the identified approaches [5,20-28], and sensitivity in 9/10 [5,20-22,24-28]. Regarding the functional attributes, the evaluation approaches mainly recommended the assessment of acceptability (8/10) [5,20-22,24,26-28], flexibility (7/10) [5,20,21,24,26-28], stability (6/10) [5,22,24,26-28] and simplicity (5/10) [5,20,21,26,27]. Other attributes such as usefulness (9/10) [5,20-27], representativeness (8/10) [5,20,21,24-28] and data quality (7/10) [5,22-27] were also included in more than half of the approaches. Attributes aimed at assessing the value of surveillance system were not often considered, especially economic attributes: assessment of the cost was recommended in only 3/10 approaches [22,24,28]; impact, effectiveness/efficacy and efficiency in only 2/10 [5,22,28].

Regarding the assessment process of these attributes, guidance was only provided by giving examples of questions to ask key stakeholders in six approaches (Table 2) [5,20,21,24-26]. These questions were mostly general, and it was not always specified who should be interviewed to collect relevant information. One approach included references to published implementation of methods or tools for the assessment of specific attributes, which could be used as example or basis but no guidance was included about how to select the most appropriate method (Table 2) [28].

Ten out of the 21 attributes included in the approaches illustrated in Figure 2 were the ones recommended in the CDC guidelines [24]. This correlates with previous findings from Drewe and co-workers [3] who highlighted that almost a quarter of identified published studies that have evaluated surveillance systems have used attributes recommended by the CDC guidelines [24].

Comparison between approaches

For each identified evaluation approach, the practical elements proposed to perform the evaluation were listed (e.g. list of evaluation attributes, case study presentation). A combined list of these elements and their usefulness in the evaluation process are presented in Table 3. The presence or absence of these practical elements in each evaluation approach considered in this review was analysed. This allowed the comparative analysis of the existing approaches according to their completeness and practicality (Table 3):

  1. (1)

    The lack of a case study application. Four approaches were applied to case studies [27-29,31], which ease further application by users.

  2. (2)

    The failure to provide a graphical representation of the outputs. Graphical outputs (e.g. pie charts, histograms) were produced by four approaches [18,19,27,28], which ease the reporting, communication and further analysis of the evaluation results.

  3. (3)

    The absence of recommendations on the type of evaluator and the expertise they require. Five approaches gave information about the evaluator requirements (e.g. expertise in surveillance on communicable diseases, senior laboratory expert) [21,23,25,27,28], which helps to assess the feasibility and ensure the quality of the evaluation.

  4. (4)

    Insufficient practical information about which evaluation attributes to assess (e.g. sensitivity, acceptability). Ten approaches provided a list of attributes [5,20-28] and the attributes were defined in 7 of these [5,20-22,24,26,28]. However only one approach [28] provided information on how to prioritize these attributes according to the surveillance context and objective by the mean of a matrix grid.

  5. (5)

    An absence of information about how to assess the evaluation attributes. Even though ten approaches provided information on which attributes to assess, only the OASIS tool provided detailed methods and a ready to use tool to perform this assessment [27]. Six approaches suggested ways on how to handle the assessment phase, by providing general questions related to the assessment of each attribute (e.g. is the time interval appropriate for the health intervention?) [5,20,21,24-26]; and one provided references to relevant publications related to practical evaluation of surveillance systems and to existing methods and tools [28]. Moreover, none of the approaches provided information about how to interpret the attributes assessments.

Table 3 Practical aspects identified in a review of evaluation approaches for health surveillance systems, and their role in the evaluation process


Although the evaluation objectives of the various approaches varied according to the field of application and to the type of approach, four common steps in the evaluation process were identified: (i) description of the context, (ii) description of the evaluation process, (iii) implementation, and (iv) recommendations. Three evaluation approaches focused on the evaluation of the structure of the system [18,19,31] but the majority also included an evaluation of the quality of the data generated and the system’s performance. Those approaches also considered implicitly the structure of the system which has to be described in order to understand the surveillance process, to select relevant attributes to be assessed and to provide relevant recommendations.

One of the main limitations of the existing approaches was the level of detail provided to the evaluators in order to practically implement the evaluation. Most of the identified approaches provided generic recommendations for evaluations (i.e. framework and guidelines) with more or less level of detail on the different steps to implement. Only three included methods and tools for the implementation of the evaluation (i.e. ready-to-use questionnaires and/or scoring guides) [18,19,27], of which only one related to AH [27]. This highlights the need for practical tool development in this field. The requirement for flexibility to account for variations in the surveillance system and available resources has been emphasised [6]. Indeed the methods and tools presented did not allow the evaluator to design his/her own evaluation process according to the surveillance context or to socio-economic constraints.

A further limitation of the existing approaches is the absence of a comprehensive list of attributes to be assessed, flexibility in the choice of attributes and guidance on how these should be selected. The updated CDC guidelines [26] did suggest that not all of attributes listed might be relevant and that they could be selected according to the context and the objectives of the evaluation. The descriptions of the developmental process provided in the reviewed literature were not sufficient to understand the process of attribute selection in the different approaches; if they were selected, e.g., due to their relative importance in the evaluation of surveillance systems, or due to the ease of assessment. Only one approach [28] provided a method for selecting relevant attributes according to the surveillance objectives. However, no guidance was provided in the document about how to perform this selection process.

There was limited guidance provided about the methods for assessment of attributes. Only one approach (clearly labelled as a tool) provided detailed methods for the assessment of attributes [27] but this allowed no flexibility in the selection of methods for the assessment of attributes. The selection of an appropriate assessment method could be complex and an evaluation approach should provide sufficient elements to help the evaluators’ choices. Indeed there is a need to review the advantages and limits of the current methods, as well as the required resources for their implementation (i.e. data required, technological requirement, and specific knowledge). The development of guidance for the selection of relevant attributes and the most appropriate methods to assess them would provide another degree of flexibility in the evaluation process itself.

In addition to this need for guidance on the selection and assessment of attributes there is also a need to include a comprehensive list of evaluation attributes that could be assessed. This review confirmed previous publication highlighting the need to consider economic attributes in the evaluation approaches (e.g. cost-effectiveness, cost-benefits) [3]. Economic aspects are a central issue in most decision processes and would allow for better selection and/or priorisation of efficient corrective actions. These elements could have an important role in defining the evaluation process as it would allow better targeting the evaluation considering the benefits for decision-makers who often need to make choices based on limited or diminishing resources [3]. There are needs regarding sociological attributes as well (e.g. acceptability, communication, non-monetary benefits), due to the fact that none of the evaluation approaches provided information on how to take into consideration stakeholders’ perceptions, needs and expectations. Moreover, evaluation should also take into consideration the needs and interests of the system’s stakeholders [34]. These aspects are essential to ensure the surveillance systems acceptability, sustainability and impact. It is important to understand stakeholders’ perceptions and expectations in order to ensure that the system is working properly and provides relevant information. As described in the paper by Auer and co-workers [34], acceptability can be considered as an underpinning attribute. Methods and tools to assess and evaluate these elements should be developed and included in the evaluation approaches.

None of the approaches provided gold standards which could guide the interpretation of the assessment results and target the corrective actions to be implemented. How to set the economic target would also need to be considered in the evaluation approaches in order to provide recommendations on how to balance performances versus costs, especially in situation where resources are scarce.

Other limitation of the existing approaches included the absence of recommendations about who should carry out the evaluation, which would help in setting up the evaluation, and of graphical representation of the outputs to assist with dissemination of the results. In addition a description of case study applications could assist end users in understanding how to implement the evaluation. Also, some transparency in the development process of the approaches would add to their usability by providing possibilities to see and evaluate possible conflicts of interest.


Several organizations have developed evaluation approaches, targeting only partial aspects of the surveillance systems characteristic; and most of the available approaches provide general recommendations for evaluations.

This review highlighted the needs to develop a comprehensive approach for the evaluation of surveillance systems, based on the existing ones, and including guidance on the assessment of individual attributes. This approach would need to be (i) complete, i.e. to provide a full list of attributes not only covering the epidemiological aspects for the evaluation, but also the social and economic aspects; (ii) flexible and adaptable to the context (surveillance purpose and objective of the evaluation) and evaluations constraints (time, resources, available data, etc.); and (iii) operational, i.e. to provide a structured process for carrying out the evaluation which includes guidance on how to select appropriate attributes and the selection of practical methods and tools for their assessment.


aThe overall aim of RISKSUR is to develop and validate conceptual and decision support frameworks and associated tools for designing efficient risk-based animal health surveillance systems



Public health


Animal health


Environmental health


One health


Critical control point


Hazard analysis of critical control point


Centre for disease control and prevention


World health organisation


Surveillance network for antimicrobial resistance in pathogenic bacteria from animal origin


Evolution of mycoplasmosis and salmonellosis rates in poultry


Foot and Mouth Disease


Outil d’analyse des systèmes de surveillance


SuRveillance EVALuation framework


  1. Declich S, Carter A. Public health surveillance: historical origins, methods and evaluation. Bull World Health Organ. 1994;72:285–304.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Corley CD, Lancaster MJ, Brigantic RT, Chung JS, Walters RA, Arthur RR, et al. Assessing the continuum of event-based biosurveillance through an operational lens. Biosecur Bioterror. 2012;10:131–41.

    Article  PubMed  Google Scholar 

  3. Drewe J, Hoinville L, Cook A, Floyd T, Stärk K. Evaluation of animal and public health surveillance systems: a systematic review. Epidemiol Infect. 2012;140:575–90.

    Article  CAS  PubMed  Google Scholar 

  4. Shahab S. Finding value in the evaluation of public health syndromic surveillance systems from a policy perspective. In: Finding value in the evaluation of public health syndromic surveillance systems from a policy perspective. Alberta, Canada: Alberta Health Services; 2009. p. 1–24.

    Google Scholar 

  5. Health Surveillance Coordinating Committee. Framework and tools for evaluating health surveillance systems. In: Framework and tools for evaluating health surveillance systems. Vancouver, Canada: Health Canada; 2004.

    Google Scholar 

  6. Klaucke ND. Evaluating public health surveillance systems. In: Halperin W, Baker EL, Monson RR, editors. Public health surveillance. New York: Van Nostrand Reinhold; 1992. p. 26–41.

    Google Scholar 

  7. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9.

    Article  PubMed  Google Scholar 

  8. Dictionary of the English language. []

  9. Encycolpedia and dictionary of medicine, nursing and allied health. [].

  10. Dictionary of Scientific & Technical Terms. []

  11. Mosby’s Dental Dictionary. []

  12. Medical Dictionary. [].

  13. Dictionary of the English Language. []

  14. Cobuild English Usage. []

  15. Yoshimizu M, Hori Y, Yoshinaka T, Kimura T, Leong J, Rodgers C. Evaluation of methods used to detect the prevalence of infectious haematopoietic necrosis (IHN) virus in the surveillance and monitoring of fish health for risk assessment. In: Rodgers C, editor. Risk analysis in aquatic animal health; 8–10 February; Paris, France. Paris, France: Office International des Épizooties (OIE); 2001. p. 276–81.

    Google Scholar 

  16. Solberg S. Forest health monitoring: evaluation of methods, trends and causes based on a Norwegian Nationwide set of monitoring plots, Dr. Agric. Thesis, Agricultural University of Norway. 1999.

  17. Teutsch G, Ptak T, Schwarz R, Hoder T. A new integral procedure for the quantification of groundwater contamination. J Contam Hydrol. 2000;75:183–213.

    Google Scholar 

  18. World Health Organization. Core components for infection prevention and control programmes: assessment tools for IPC programs. In: Core components for infection prevention and control programmes: assessment tools for IPC programs. World Health Organization (WHO); 2011.

  19. World Health Organization. Assessing the National Health Information System: an Assessment Tool. World Health Organization (WHO); 2008. (ISBN 978 92 4 154751 2).

  20. World Health Organization. Communicable disease surveillance and response systems: guide to monitoring and evaluating. In: Communicable disease surveillance and response systems: guide to monitoring and evaluating. City: Wolrd Health Organization (WHO); 2006. p. 90.

    Google Scholar 

  21. World Health Organization. Protocol for the evaluation of epidemiological surveillance systems. In: Protocol for the evaluation of epidemiological surveillance systems. City: World Health Organization (WHO); 1997. p. 49.

    Google Scholar 

  22. Meynard JB, Chaudet H, Green AD, Jefferson HL, Texier G, Webber D, et al. Proposal of a framework for evaluating military surveillance systems for early detection of outbreaks on duty areas. BMC Public Health. 2008;8:46.

    Article  Google Scholar 

  23. European Centre for Disease Prevention and Control. Framework for the evaluation and assessment of EU-wide surveillance networks in 2006–2008. In: Framework for the evaluation and assessment of EU-wide surveillance networks in 2006–2008. City: European Center for Disease Prevention and Control (ECDC); 2006. p. 13.

    Google Scholar 

  24. Buehler JW, Hopkins RS, Overhage MJ, Sosin DM, Tong V. Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group. In: Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group, vol. 53. City: Center for Disease Control and Prevention (CDC); 2004. p. 1–11.

    Google Scholar 

  25. Kansanterveyslaitos Folkhälsoinstitutet. Protocol for the evaluation of EU-wide surveillance networks on communicable diseases. In: Protocol for the evaluation of EU-wide surveillance networks on communicable diseases. City: National Public Health Institute (KTL); 2004. p. 59.

    Google Scholar 

  26. German RR, Lee L, Horan J, Milstein R, Pertowski C, Waller M. Updated guidelines for evaluating public health surveillance systems. In: Updated guidelines for evaluating public health surveillance systems, vol. 50. City: Center for Disease Control and Prevention (CDC); 2001. p. 1–35.

    Google Scholar 

  27. Hendrikx P, Gay E, Chazel M, Moutou F, Danan C, Richomme C, et al. OASIS: an assessment tool of epidemiological surveillance systems in animal health and food safety. Epidemiol Infect. 2011;139:1486–96.

    Article  CAS  PubMed  Google Scholar 

  28. Drewe J, Hoinville L, Cook A, Floyd T, Gunn G, Stärk K. SERVAL: a new framework for the evaluation of animal health surveillance. Transbound Emerg Dis. 2013;62:1–13.

    Google Scholar 

  29. Dufour B. Technical and economic evaluation method for use in improving infectious animal disease surveillance networks. Vet Res. 1999;30:27–37.

    CAS  PubMed  Google Scholar 

  30. Malecki KC, Resnick B, Burke TA. Effective environmental public health surveillance programs: a framework for identifying and evaluating data resources and indicators. J Public Health Manag Pract. 2008;14:543–51.

    Article  PubMed  Google Scholar 

  31. El Allaki F, Bigras-Poulin M, Ravel A. Conceptual evaluation of population health surveillance programs: method and example. Prev Vet Med. 2013;108:241–52.

    Article  PubMed  Google Scholar 

  32. Dufour B, Hendrickx P. Surveillance épidémiologique en santé animale. In: Éditions Quæ. 3r ed. Paris, France: AEEMA and CIRAD, Maison Alfort. 2011.

  33. Peyre M, Hoinville L, Häsler B, Lindberg A, Bisdorff B, Dorea F, et al. Network analysis of surveillance system evaluation attributes: a way towards improvement of the evaluation process. Havana, Cuba: Presented at the International Conference for Animal Health Surveillance (ICAHS2); 2014.

    Google Scholar 

  34. Auer AM, Dobmeier TM, Haglund BJ, Tillgren P. The relevance of WHO injury surveillance guidelines for evaluation: learning from the Aboriginal Community-Centered Injury Surveillance System (ACCISS) and two institution-based systems. BMC Public Health. 2011;11:744.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


This review was performed under the framework of RISKSUR project funded by the European Union Seventh Framework Programme (FP7 / 2007–2013) under grant agreement n°310806.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Clementine Calba.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

MP and FLG conceived the idea for this study, supervised the overall study implementation and manuscript development process. CC contributed to the design of the study, data collection, data analyses and writing the manuscript. AL and LH helped to design the study and, with FLG and MP, to interpret the results and provided critical feedback on the manuscript. PH and CS were involved in reviewing and improving the manuscript. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Calba, C., Goutard, F.L., Hoinville, L. et al. Surveillance systems evaluation: a systematic review of the existing approaches. BMC Public Health 15, 448 (2015).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: