- Scoping Review
- Open Access
Effective surveillance systems for vector-borne diseases in urban settings and translation of the data into action: a scoping review
Infectious Diseases of Poverty volume 7, Article number: 99 (2018)
Vector-borne diseases (VBDs) continue to represent a global threat, with “old” diseases like malaria, and “emergent” or “re-emergent” ones like Zika, because of an increase in international trade, demographic growth, and rapid urbanization. In this era of globalization, surveillance is a key element in controlling VBDs in urban settings, but surveillance alone cannot solve the problem. A review of experiences is of interest to examine other solution elements. The objectives were to assess the different means of VBD surveillance in urban environments, to evaluate their potential for supporting public health actions, and to describe the tools used for public health actions, the constraints they face, and the research and health action gaps to be filled.
For this scoping review we searched peer-reviewed articles and grey literature published between 2000 and 2016. Various tools were used for data coding and extraction. A quality assessment was done for each study reviewed, and descriptive characteristics and data on implementation process and transferability were analyzed in all studies.
After screening 414 full-text articles, we retained a total of 79 articles for review. The main targets of the articles were arboviral diseases (65.8%) and malaria (16.5%). The positive aspects of many studies fit within the framework of integrated vector management. Public awareness is considered a key to successful vector control programs. Advocacy and legislation can reinforce both empowerment and capacity building. These can be achieved by collaboration within the health sector and with other sectors. Research is needed to develop well designed studies and new tools for surveillance and control.
The need for surveillance systems in urban settings in both developing and developed countries was highlighted. Countries face the same challenges relating to human, financial, and structural resources. These findings also constitute a wake-up call for governments, academia, funders, and World Health Organization to strengthen control programs and enhance VBD research in urban environments.
Please see Additional file 1 for translations of the abstract into the five official working languages of the United Nations.
Vector-borne diseases (VBDs) account for over 17% of all infectious diseases, resulting every year in more than one billion cases and over one million deaths . The burden of these diseases is linked to the challenges of prevention and control, particularly because there is no vaccine for most of them. Moreover, distribution of these diseases is determined by a complex dynamic of environmental and social factors. Globalization of travel and trade, unplanned urbanization, migration, and environmental challenges such as climate change have had a significant impact on disease transmission in recent years, with major outbreaks of dengue, chikungunya, and Zika virus.
Though some VBDs tend to be perceived as rural diseases, there is evidence pointing to the transmission in urban settings of malaria , Chagas disease , and sleeping sickness . Other diseases, and especially Aedes-borne diseases (dengue, chikungunya, Zika), are mainly an urban challenge because of unplanned and extensive urbanization, invasion by different vectors (Ae. aegypti, and Ae. albopictus), and the globalization of commerce and travel [5, 6]. New opportunities for VBDs to flourish and spread are created in the cities of the developing world, compromising the well-being of populations .
In high-income countries, the main issue is to prevent the introduction of diseases that may cause an epidemic or re-emergence. As an example, the recent Zika outbreak highlighted the need for an early warning system and preparedness , while the issue of the resurgence of malaria is recurrent in Europe . In low- and middle-income countries, control and early detection of outbreaks is needed. Dealing with the dangers of VBDs in developed and developing countries requires strong surveillance systems and effective interventions. An effective surveillance system should be able to collect and analyze data to produce information and disseminate it to those who can promote public health policies and relevant prevention and control strategies. By strengthening the World Health Organization (WHO)’s capacity to assess the public health value of new vector control tools and technologies and develop appropriate technical recommendations, the newly established Vector Control Advisory Group supports national and global efforts to control and eliminate VBDs worldwide.Footnote 1
We undertook a scoping review to examine the different means of VBD surveillance in urban environments, and to evaluate their potential for supporting public health actions. The tools used for public health actions, the constraints they face were highlighted for identifying the research and the health action gaps to be filled.
Use of the eDelphi process to select scoping review topics
Using an eDelphi survey, we invited a panel of 109 international experts (43% researchers; 52% public health decision-makers; 5% private sector experts) to identify the six topics of highest priority . The survey involved three rounds: 1) participants suggested topics; 2) the more than 80 topics suggested were then rated from “1 – eliminate” to “5 – top priority”; and 3) the 20 subjects rated 4 or 5 by more than 65% of the participants were rated a second time. At the end of the third round, the present topic obtained the mean rating of 4.00 ± 1.02 and was ranked 5th (rated 4 or 5 by 71.43% of the participants).
We conducted a systematic search in MEDLINE, Embase, Global Health, and Web of Science in August–September 2016 to identify published studies. The search strategy was validated by a public health librarian and consisted of combining the following concepts using associated keywords and descriptors: vector-borne diseases, urban setting, surveillance system, and public health actions (see full list in Additional file 2). Additional articles were identified by manually screening the references of papers that met our inclusion criteria.
Three investigators (EB, FJ, and FF) independently screened all titles and abstracts using defined inclusion criteria: 1) was published between 2000 and 2016; 2) concerned any vector or VBD listed by WHO in 2016Footnote 2; 3) was written in English, French, or Spanish; 4) had an available abstract; 5) dealt with any aspect of VBD surveillance (vector, human, animal, or environmental surveillance); 6) described surveillance outcomes (i.e., implementation or possibility of implementation of public health actions); 7) was related to urban populations or implementation at the country level for VBDs with serious urban potential (i.e., dengue). Excluded were: secondary reports; editorial opinions; personal communications; studies that were purely descriptive with no quantitative or qualitative analysis; studies with only one outcome of interest (surveillance OR public health action OR urban setting); studies without the notion of effectiveness or focusing on a limited monitoring period (generally the case with cross-sectional and case-control studies); studies aimed at testing a new vector control tool (insecticide, repellent or new trap); and studies about surveillance in rural areas. The same investigators (EB, FJ, and FF) reviewed full-text articles for inclusion, with disagreement settled by consensus.
Studies’ characteristics, quality assessment, and data extraction
Descriptive characteristics, quality assessment, and data from articles meeting the inclusion criteria were extracted into a standardized template using a Microsoft Excel 2013 (Microsoft Corporation, Washington, Etats Unis) spreadsheet that was validated by two contributors with agreement on over 85% of data extracted from the same three studies.
First, the quality of the studies was assessed with the Mixed Methods Appraisal Tool (MMAT) . The MMAT has been designed for the appraisal stage of complex systematic literature reviews. The first criteria could be applied whatever the study (clear objectives and correctly addressed question), though the following depend on the study type: qualitative, quantitative and mixed methods studies. They aimed to cross the data sources, the method of the data collection or the population recruitment. Studies were ranked based on the extent to which they satisfied specific criteria; they were labelled yes, no, or can’t tell or not applicable, depending on whether they clearly met the criteria, or whether it was not possible to determine from the reporting whether they met them, or if the criteria were not relevant to the purpose of the study (see Additional file 3). For the evaluation, scores of 4, 3, 2, and 1 were applied to the answers yes, no, can’t tell and not applicable, respectively. Completeness of intervention description was assessed using the Template for Intervention Description and Replication (TIDieR) checklist . The TIDieR checklist was used to document the rationale, materials, procedures (how, by whom, when, and where the intervention took place), modifications, and fidelity of the intervention (see Additional file 3). To synthesize the findings from the included studies, we used Analysis of Transferability and Support to Adaptation of Health Promotion Interventions (ASTAIRE) . ASTAIRE tool examines 23 criteria which are divided into four broad categories of elements that describe the population, the environmental factors that can influence the effects of the intervention, the implementation of the intervention according to the policies and the partnership, the accompaniment to the transfer of the intervention to adapt context (see Additional file 3).
Description of included studies
Our search strategy yielded 20 207 documents. Of those, 6443 duplicates were removed, leaving 13 764 articles to screen. Title and abstract screening led to the selection of 414 documents, of which 77 met our inclusion criteria after full-text screening (see Fig. 1). Two documents were added after cross-checking references. All documents included were peer-reviewed articles.
Studies were carried out in Latin America (25.3%; n = 20), Africa (19.0%; n = 15), Asia (19.0%; n = 15), the USA (13.9%; n = 11), Europe (12.7%; n = 10), and Oceania (8.9%; n = 7) (se Fig. 2). One article concerned two continents . Diseases included malaria (16.5%; n = 13), dengue fever (35.4%; n = 28), chikungunya fever (3.8%; n = 3), yellow fever (2.5%; n = 2), Zika virus (2.5%; n = 2), West Nile fever (11.4%; n = 9), Chagas disease (8.9%; n = 7), leishmaniasis (2.5%; n = 2), sleeping sickness (1.3%; n = 1), filariasis (2.5%; n = 2), Lyme disease (1.3%; n = 1), and schistosomiasis (1.3%; n = 1). The eight (10.1%) remaining articles focused on mosquitoes in general (n = 1) or Aedes (n = 7).
Scientific production has doubled since 2010, which corresponds to the emergence and re-emergence of arboviral diseases globally (see Fig. 3).
Malaria was reported only in Africa (n = 12) and in India (n = 1) (see Fig. 4). Arboviral diseases strongly affected Asia and Latin America. High-income countries such as the USA and European countries were affected by specific diseases such as West Nile and Lyme diseases, as well as by Aedes-borne diseases (dengue, chikungunya, and Zika).
Characteristics of the 79 included studies are detailed in Additional file 4. The surveillance tool, its target and objectives, the type and target of the intervention implemented, an overview of the results, the lessons learned from the intervention, as well as the main limitations of the process are reported.
Quality of studies included
Only 30 of the 79 articles (38%) were evaluated with the MMAT (see Additional file 3 and Fig. 5). All of the 49 articles (62%) that could not be evaluated with the MMAT were classified as “non research studies” since they did not use any analytical method. These articles could be classified as reviews (38.8%; n = 19), reports of cases or outbreaks (34.7%; n = 17), or epidemiological updates (26.5%; n = 13), but all were peer-reviewed.
The 30 studies evaluated by MMAT consisted of two qualitative studies, one mixed-methods study, and 27 quantitative descriptive studies. Evaluation of the overall quality of the studies with MMAT produced a mean score of 85.7% and a median of 87.5%.
Types of interventions
The TIDieR checklist was used to document the rationale, materials, procedures (how, by whom, when, and where the intervention took place), modifications, and fidelity of the intervention (see Additional file 3). Figure 6 illustrates to what extent the interventions were described in each study included.
Interventions were divided into those targeting disease transmission (for example, by distributing mosquito nets, administering artemisinin-based combination therapy [ACT] more widely in the case of malaria, or reducing vector sources) [15–18], those improving case identification , and those implementing warning systems to limit the spread of the disease, such as for the West Nile [20–22] or Zika virus . In some cases, vector sensitivity to insecticides  or pathogen sensitivity to drugs  were surveyed, leading to adaptation of the interventions.
Interventions can also determine the riposte framework, which may involve improving the case definition, initiating mandatory reporting (arboviral diseases), or constraining the population to reduce the vector source (container protection, waste management, etc.) or even to participate financially in the intervention, as in Singapore .
Implementation process and transferability
Figure 7 illustrates the availability of descriptions of the interventions’ contexts according to the ASTAIRE tool, which is useful information for transferability purposes.
Evaluation of the surveillance and of intervention effectiveness
Different kinds of surveillance systems
Surveillance systems were either active (25.3%; n = 20), as in Ticino (Italy) , passive (46.8%; n = 37), as in Mutale municipality (South Africa) , or both (27.8%; n = 22), as in the Luba focus on Bioko Island (Equatorial Guinea) . Surveillance targeted the vector (29.1%; n = 23) , the pathogen (10.1%; n = 8) , or the human population (cases, patients, travelers) (30.4%; n = 24) . In cases involving active surveillance, vectors were surveyed in 55% (11/20) of studies, whereas in cases involving passive surveillance, they were surveyed in 24.3% (9/37) of the studies. In most of the studies, only one target (vector or human) was surveyed (69.6%; n = 55). In 18 studies, there were two targets, generally the vector and the human population (22.8%; n = 18). Only five studies surveyed vector, human, and/or animal populations and pathogens (6.3%; n = 5) [31–35]. Integrated surveillance systems taking into account all actors of the pathogen system were rarely implemented, or at least were rarely described in the reviewed articles.
Surveillance also led to better knowledge about vectors (spatiotemporal distribution, sensitivity to insecticides, existence of a secondary reservoir [36, 37]) or pathogens (identification of the dengue serotypes in circulation ).
The municipal scale was considered in 39.2% of the studies (n = 31). The other studies were conducted at the region level (17.7%; n = 14), the country level (41.8%; n = 33), and even the European level, in the case of Kampen et al.  (1.3%; n = 1).
Effectiveness of the intervention
More than 50% (n = 41) of the 79 studies reported that the intervention was effective. The other studies did not aim to measure intervention effectiveness. In 75.9% (n = 60) of the studies, the intervention was based only on vector control (46.8%; n = 37) or on other measures focused on the human population, the pathogen, or the environment.
Various outcomes were used to measure intervention effectiveness: epidemiological variables, such as disease prevalence or incidence (53.1%; n = 42); entomological indices, such as the container index, Breteau index, or rate of eliminated containers (55.7%; n = 44); and vaccination or mosquito net coverage (11.4%; n = 9). Other outcomes included the production of guidelines [31, 40] or the development of policy decisions [20–22, 41, 42].
Generally speaking, the importance of institutional support and partner mobilization, both key elements of an effective integrated vector management strategy were highlighted. Some positive outcomes concerned the human population, who adopted better behaviours such as proper covering of water supplies [27, 32], elimination of Aedes breeding sites [37, 43], or increase in hospital use . In Brazil, a hand-made mosquito ovitrap brought added value to the intervention . People were able to learn about mosquito biology, contribute to the intervention by preventing mosquito proliferation, and provide clear images of their environment with minimal financial investment. Presenting the health message in different languages also appeared to favour sensitization . At the health team level, improvements were also observed. In some cases, thanks to a participatory process, data collection tools were improved  and new tools, such as Global Positioning System or smartphones, were used that enhanced the process by reducing the time lag between data collection and dissemination [39, 46]. Lee et al.  showed that experience with Ebola outbreaks and the West Nile virus in the USA was later useful for developing and implementing plans for managing Zika virus.
In some studies, the authors reported that entomological indices did not decrease; this result was attributed to persistent breeding sites that were not surveyed, or to residual transmission [20–22, 40, 47–49]. Some variations in intervention impacts were reported in the surveyed areas as being due to environmental heterogeneity , unequal mobilization , or variable intervention coverage . Limitations in impact were also attributed to an absence of intervention in adjacent area [28, 53]. One study showed a negative impact of the intervention, which induced vector resistance to the insecticide used . In another study, the intervention highlighted that the pathogen was resistant to the treatment, leading to the promotion of new treatment guidelines .
Several challenges were identified that were mainly linked to the operational chain, which needs to be precisely laid out, with guidelines for case definition, diagnosis, and data collection , and known to all actors . The lack of human, financial, and infrastructural capacity was another challenge [55–58], as was the low level of involvement of decision-makers, which explained the paucity of political will . This poor political will often caused a time lag between data collection and dissemination . Lastly, lack of community involvement appeared as a key challenge to ensuring both the effectiveness and especially the sustainability of the control [51, 59, 60]. Taleo et al. , pointed out that “dengue is often a problem generated by communities themselves and, as such, the solution is in their hands”, while another study asserted that “the success of any prevention program depends on either convincing individuals to change their behaviour or changing the environment to remove factors that place individuals at risk of disease” . Moreover, community mobilization cannot be achieved if the political authorities of the countries are not also involved in the activities. The challenge is therefore to reinforce people’s involvement through a better awareness of the disease, because “a low risk perception in the community underestimates the high danger potential of vector-borne diseases, which also may impact the effectiveness of public health interventions” .
Lessons learned and recommendations
Recommendations included timely release of surveillance results to facilitate prompt remedial actions for vector control , health education to sustain public participation in vector prevention and control , scaling up the use of protective measures such as long-lasting impregnated nets , improving detection of cases [55, 63], implementing control tools that are adapted to the local context (including perceptions of field workers and communities) , and considering the role played by animals .
Interventions need to be sustainable, and consideration should be given to using new and cost-effective technologies such as geographic information systems (GIS) and mobile health or hand-held systems to improve field reporting [40, 45, 60, 64]. Only 26 studies mentioned the use of GIS (32.9%). Three studies highlighted the potential benefits of mobile phone use. Kampen et al.  achieved good mobilization of the population, referred to as citizen science, with the development of mobile phone apps such as Tigatrapp© in Spain or Imoustique© in France. Mobile phones were also used by Larsen et al.  to accelerate the reporting of malaria data in Zambia  and Brazil . This reduced the time lag between data collection and their translation into operational actions, which is generally identified as an obstacle for good surveillance systems.
A multi-disease control approach could also benefit from improved communications, particularly in surveillance targeting several vectors [24, 57, 61, 66]. Likewise, more key informants should be involved, as well as ‘alternative’ medical clinics and traditional healers .
The review aimed to highlight the research and the health action gaps to be filled to better control vector-borne diseases in urban settings. The weak representation of malaria in the reviewed studies suggests that, even though this disease represents a threat in urban areas, it remains poorly tackled in these settings.
The positive aspects of many of the studies fit within the framework of integrated vector management (IVM), which is a rational decision-making process for the optimal use of resources for vector control [67, 68]. Promoting this framework should help to improve the effectiveness and sustainability of public health actions; the framework is well illustrated by certain key experiences encountered in this review, which are highlighted in the following sections.
Advocacy, social mobilization, and legislation
Awareness among the different stakeholders is crucial. Public awareness improves people’s understanding of risks and of prevention strategies [23, 69] and is considered a key to success in dengue prevention programs [60, 70]. Communities’ capacity to participate effectively in the control of arbovirus vectors is well documented and is based mainly on behaviour modification and on mobilizing the community in controlling breeding sites [24, 32, 43, 60,61,62, 71,72,73]. Community-based larval control is also an approach that might be useful in towns and cities to control malaria .
High level-advocacy is needed to obtain state support for the program implementation phase , especially in emergency situations requiring high governmental investment . The mobilization of all actors must be sustained by continuous dissemination of information to health professionals to promote good diagnostic and case management practices [57, 69]. Effective social mobilization requires a dedicated strategy that identifies main targets (schoolchildren, property managers, construction sites, local organizations, etc.) and key messages [69, 74]. Inadequate community involvement was found to be the main obstacle to the effectiveness of control programs to eliminate mosquitoes or bedbugs in certain cases where non-participating households were the main reservoirs for residual infestation [25, 43, 51]. Public awareness can usually be maintained by regular visits from health inspectors . New technologies can be used to respond to various issues, but practices need to change. Here again, awareness is a prerequisite to overcoming resistance to change . The perceptions and opinions of field staff also must be taken into account, upstream of program definition, to ensure operationality and acceptance .
Regulatory aspects are important, as control programs are part of an organizational and technical framework that needs to be framed by legislation . Nevertheless, to go further, a political commitment is also needed and would be strengthened by legislation. Yoshikawa  describes, for example, the development of a legal framework to control Aedes vectors in Singapore. Legislative measures have been also implemented to limit the presence of breeding sites of malaria vectors in buildings and during construction .
Collaboration within the health sector and with other sectors
Collaboration within the health sector is particularly relevant in cases of complex integrated surveillance, such as surveillance of the West Nile virus . Actions to improve coordination among different health actors should be supported , especially by ensuring that actors involved in surveillance are connected with those conducting interventions . Collaboration with other sectors, such as infrastructure construction, urban planning and management, and water and sanitation, fosters intersectoral management of vector-borne risk [18, 76]. Incorporating the private sector remains a challenge in the field of surveillance or control [66, 72]. This is particularly relevant in urban environments, where the dialogue between private construction companies and public authorities needs to be strengthened .
A critical strategy to encourage such collaboration would be the formalization and implementation of dedicated cross-sectoral coordination structures . Collaboration between research and public health must be fostered to improve effectiveness and evaluation of surveillance and control programs, while taking account scale issues and operational constraints.
The development of essential human resources through training is emphasized in every sector, from surveillance to disease control, to improve rapid detection and response to health events [18, 41, 49, 54, 77,78,79]. Capacity building also concerns infrastructure and equipment [18, 20], as well as technologies such as GIS [24, 34]. It is worth noting that capacities implemented in a specific context are an investment that can prove very useful in an emergency situation. For example, the Zika response in New York City relied upon emergency capacities first developed in 1999 during the West Nile virus outbreak . In most cases, such capacity building is most efficient when developed at not only the national but also the local level [30, 32].
Surveillance data are the pillar of evidence-based intervention and need to be integrated and available in a timely manner [14, 24, 45, 46, 66, 76, 80]. To produce strategies and interventions that are appropriate, actors need to know the local vector ecology  and the epidemiological systems in their entirety, including the zoonotic cycle [31, 36, 53, 77], as well as the extent of potential secondary vectors, especially in a context of elimination [76, 82].
Most often, situations evolve in response to stimuli, such as insecticide resistance , introduction of an invasive vector [58, 83], or unexpected route of transmission . In this context, much knowledge is needed, and strategies must be based on scientific evidence to be efficient and cost-effective .
Need for innovative interventions and research
New technologies improve mapping and reporting [15, 66], but sustainable surveillance systems must be maintained and reinforced in terms of sensitivity and geographic coverage to detect weak points in control, to rationalize resources, or to contend with new challenges such as identifying the main locations of importation of cases [28, 84, 85], which may pose ethical and legal concerns . Such approaches facilitate the integration of data from different surveillance system as well as the timely, efficient, and cost-effective deployment of focused interventions [15, 38, 45, 46, 64, 66, 69, 87,88,89]. These tools help to overcome difficulties that are frequently encountered in developing countries, such as poor urban planning and unregulated urban expansion , and can enable dissemination of surveillance results to the public for sensitization and mobilization [60, 59]. The use of GIS may also facilitate the development of spatial analysis and risk models, which enable the development of early warning systems [34, 45, 64, 72, 88].
The need for new control tools to remedy certain difficulties linked to drug resistance and insecticide resistance opens up new research purposes, such as vaccines and innovative vector control approach based on genetically modified mosquitoes . Finally, as stated by WHO , innovation is essential in the field of vector control to address numerous challenges, such as insecticide resistance and the development of environmentally-friendly and vector-specific control methods [50, 92].
Limitations of the study
We extracted more than 20 000 articles based on our search strategy, but even though we performed a double screening, some relevant articles may have escaped. The complete data extraction grid used for this review is available in Additional file 3.
Some studies were considered non-research studies, and could not be evaluated by the MMAT. In fact, the quality of these studies was not to question, but rather to improve this tool to expand its use. The design of our review, which targeted interventions based on surveillance systems and not just interventions in themselves, also complicated the identification of studies. Indeed, it was difficult to identify articles or documents dealing with surveillance systems and with public health actions actually implemented on the basis of surveillance. On one hand were many articles that only described surveillance systems or activities dedicated to disease control. On the other were integrated documents, such as action plans or guidelines, that did not describe implementation, results, or difficulties encountered.
Practices, and especially those of authorities in charge of risk management, must change to assign greater value to the planning strategy and the results of implementation.
To analyze the effectiveness of surveillance systems for the implementation of public health actions, a tool will need to be developed that is better adapted and integrates different methodological frameworks .
Implications for future research
There is a patent need for innovative research to cope with environmental, social, or health changes (see Table 1). Innovation needed especially to contend with elimination situations, which may be the case for different parasitic diseases [18, 51, 76, 85]. Study designs should also enable constructive analysis of the data collected .
Research is needed to determine relevant thresholds for early warnings of outbreaks  and to support the implementation of control actions . Such thresholds will depend on local conditions and the surveillance system implemented. Research on evidence-based response strategies and cost-effectiveness should also be considered a priority . Indeed, a decrease in vector population does not imply risk reduction, whether for dengue or for malaria [51, 72, 94, 97]. There is also a need for better knowledge about the consequences of the circulation of certain genotypes or serotypes in terms of risk [38, 62] and vectors [19, 98,99,100]. Tasks related to vector control have changed rapidly over the past decades, and stronger technical and communication skills are required to contend with the evolution in vector control methods and to involve communities . Those conducting entomological surveillance, and more particularly larval survey, face increasing difficulties in gaining entrance to private properties .
Detecting the focus of residual transmission (whether breeding sites or asymptomatic patients) is challenging [51, 101]. The rapid increase of insecticide resistance in vectors underscores the need to regularly evaluate vector sensitivity to insecticides used and to develop alternative strategies such as insecticide rotations and mixtures to delay the evolution of resistance.
Arboviral diseases present specific challenges. Co-circulation of different arboviruses requires that the biological confirmation component of the human surveillance system be tailored in terms of strategy and capacity [31, 102, 103]. There is an acute need to develop a good indicator for mosquito population that should be easy to obtain or compute at the operational level, for the couple Aedes/arbovirus. There are also needs for evaluation of current control methods and tools, life-table studies, behavioural studies on Aedes mosquitoes, GIS models for forecasting dengue, etc. [70, 72]. This represents a research opportunity to better quantify this relationship and to develop tools to measure it. To optimize disease prevention, priority must be given to high-quality standardized studies that evaluate and compare methods .
Ultimately what is needed is to integrate vector and disease control in a single strategy . Sustained coordination among governments, agencies, control programs, academia, private enterprises, and the affected communities is the foundation for the success of any future strategy [25, 26, 40, 48, 57, 60, 62, 72, 95].
Implications for public health and/or practice
The review clearly highlighted the need for public health and research actors at all levels of the surveillance and intervention framework to be involved (see Table 2). The social burden of VBDs has to be understood and linked to outcomes such as morbidity and mortality.
First, risk assessment should identify the main risks and threats that will need to be considered in a specific surveillance system. Surveillance objectives should be precisely defined and communicated to all the actors. Based on this assessment, surveillance and response will be planned taking into consideration available resources and gaps. This will require communication and training at different steps of the implementation process. Training has to reinforce the capacity to detect cases using appropriate tools for precise case definition, appropriate diagnostic methods, and rapid communication of laboratory results. Medical care with appropriate case management must be defined and treatments must be available. At a broader scale, the authorities must also be involved and mobilized. Preparedness and response should be formalized in a document that is regularly updated and shared among the different stakeholders. Such plans should cover early detection, epidemiological and vector surveillance, definition of a biological diagnostic strategy, guidelines for case management, vector control actions, and a social mobilization strategy. A preparedness and response plan should propose a tailored and graduated surveillance and intervention framework based on risk level. This will contribute to a better analysis of the knowledge transfer process, which has not yet been sufficiently studied . Ultimately the results must be shared at different levels, not only through scientific publications, but also by wide dissemination to the field teams, medical teams, authorities, and populations. Moreover, health policy and urban policy actors need to cooperate because, while health favours development, development in turn also favours health.
Overall, the results showed that the largest body of evidence concerned surveillance and intervention against arboviral diseases, mainly dengue. Our results highlighted the abundance of surveillance and control systems against VBDs around the world and gave the opportunity of a short Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis (see Table 3).
The emergence of arboviral diseases in high-income countries is drawing attention to these diseases, which no longer concern low-income countries exclusively. High-income countries are not well prepared for these threats, as has been shown in epidemics of West Nile or Zika virus, for example. Monitoring these diseases from a control perspective should put these risks on the political agenda. Such occurrences should serve as opportunities to build surveillance systems that are adapted to local contexts but based on shared rules. These rules are based on three principles: systematic collection of pertinent data; analysis of these data, and timely dissemination of results to guide interventions. All efforts must be focused on implementing these rules.
Integrated systems that concurrently target the vector in its environment, the pathogen, and the hosts—both humans and animals, if they are involved in the disease cycle—should be promoted. These initiatives are part of the One Health new paradigm which postulates that the dynamics of the diseases and the actions which determine the health of the human as well as the animal populations must be studied in their environmental context. As regularly observed but rarely implemented, the first step in such an approach should be the assessment of community knowledge, attitudes, and practice. High-level support and inter-agency cooperation are also key to the success of a control program. Broadening the scale, some studies suggested that country responses should be optimized by pooling resources and sharing experience and data. It is also time for policy-makers and the scientific community alike to pay more attention to the effects of urbanization and globalization on VBDs.
Artemisinin-based Combination Therapy
Anastasia mosquito control district
Public Health Agency of Catalonia
Bacillus thuringiensis israelensis
Center for Disease Control
Dengue Fever Management Plan (for north Queensland)
East African Network for Monitoring Antimalarial Treatment
Enzyme-linked immunosorbent Assay
Geographic information system
Health Information Network
Information, Education, Communication
Indirect fluorescent antibody test
Intermittent Preventative Treatment
Indoor residual spraying
Insecticidal treated net
Long lasting insecticidal impregnated net
Mosquito Control Program
Monitoramento Inteligente da Dengue [Intelligent Dengue Monitoring System]
Polymerase chain reaction
Puerto Rico Department of Health
Program for Surveillance, Alert and Response
Rapid diagnostic test
Spatial decision support systems
Servicio Nacional de Control de Enfermedades Transmitidas por Vectores Atrópodos (National Service for the control of VBD)
Strengths, Weaknesses, Opportunities and Threats
WHO. Vector-borne disease. Geneva: World Health Organization; 2017. http://www.who.int/mediacentre/factsheets/fs387/en/. Accessed 13 July 2017.
WHO. Hidden cities: unmasking and overcoming health inequities in urban settings. Kobe: World Health Organization, The WHO Centre for Health Development; 2010.
Levy MZ, Barbu CM, Castillo-Neyra R, Quispe-Machaca VR, Ancca-Juarez J, Escalante-Mejia P, et al. Urbanization, land tenure security and vector-borne Chagas disease. Proc Biol Sci. 2014;281(1789):20141003.
Simo G, Diabakana PM, Betu Ku Mesu VK, Manzambi EZ, Ollivier G, Asonganyi T, et al. Human African trypanosomiasis transmission, Kinshasa, Democratic Republic of Congo. Emerg Infect Dis. 2006;12(12):1968–70.
De Silva PM, Marshall JM. Factors contributing to urban malaria transmission in sub-Saharan Africa: a systematic review. J Trop Med. 2012;2012:819563.
Simmons CP, Farrar JJ. Nguyen vV, Wills B. Dengue. N Engl J Med. 2012;366(15):1423–32.
Braks M, van der Giessen J, Kretzschmar M, van Pelt W, Scholte EJ, Reusken C, et al. Towards an integrated approach in surveillance of vector-borne diseases in Europe. Parasit Vectors. 2011;4:192.
Weaver SC. Urbanization and geographic expansion of zoonotic arboviral diseases: mechanisms and potential strategies for prevention. Trends Microbiol. 2013;21(8):360–3.
Ivanescu L, Bodale I, Florescu SA, Roman C, Acatrinei D, Miron L. Climate change is increasing the risk of the reemergence of malaria in Romania. Biomed Res Int. 2016;2016:8560519.
Degroote S, Bermudez-Tamayo C, Ridde V. Approach to identifying research gaps on vector-borne and other infectious diseases of poverty in urban settings: scoping review protocol from the VERDAS consortium and reflections on the project’s implementation. 2018;7:98.
Pluye P, Robert E, Cargo M, Bartlett G, O’Cathain A, Griffiths F, et al. Proposal: a mixed methods appraisal tool for systematic mixed studies reviews. Montreal: McGill University, Department of. Family Medicine. 2011; http://mixedmethodsappraisaltoolpublic.pbworks.com/w/page/24607821/FrontPage. Accessed 13 July 2017
Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;g1687:348.
Cambon L, Minary L, Ridde V, Alla FASTAIRE. tool for the analysis of the transferability and facilitation of the adaptation of interventions in health promotion. Santé Publique. 2014;26:787–94.
Azil AH, Ritchie SA, Williams CR. Field worker evaluation of dengue vector surveillance methods: factors that determine perceived ease, difficulty, value, and time effectiveness in Australia and Malaysia. Asia Pac J Public Health. 2015;27(7):705–14.
Chaki PP, Mlacha Y, Msellemu D, Muhili A, Malishee AD, Mtema ZJ, et al. An affordable, quality-assured community-based system for high-resolution entomological surveillance of vector mosquitoes that reflects human malaria infection risk patterns. Malar J. 2012;11:172.
Geissbühler Y, Kannady K, Chaki PP, Emidi B, Govella NJ, Mayagaya V, et al. Microbial larvicide application by a large-scale, community-based program reduces malaria infection prevalence in urban Dar es Salaam, Tanzania. PloS One. 2009;4(s):e5107.
Hashimoto K, Yoshioka K. Review: surveillance of Chagas disease. Adv Parasitol. 2012;79:375–428.
Sharma SN, Srivastava PK, Singh S, Sharma RS, Sonal GS, Dhariwal AC. Urban malaria scheme - past. present & future. J Commun Dis. 2014;46(2):77–84.
Bacon RM, Kugeler KJ, Mead PS. Centers for Disease Control and Prevention (CDC). Surveillance for Lyme disease--United States, 1992-2006. MMWR Morb Mortal Wkly Rep. 2008;57(10):1–9.
Lukacik G, Anand M, Shusas EJ, Howard JJ, Oliver J, Chen H, et al. West Nile virus surveillance in mosquitoes in New York State, 2000-2004. J Am Mosq Control Assoc. 2006;22(2):264–71.
Nash D, Mostashari F, Fine A, Miller J, O’Leary D, Murray K, et al. The outbreak of West Nile virus infection in the new York City area in 1999. N Engl J Med. 2001;344(24):1807–14.
Centers for Disease Control and Prevention. (CDC). West Nile virus activity--New York and New Jersey, 2000. MMWR Morb Mortal Wkly Rep. 2000;49(28):640–2.
Lee MW, Fok MY. Dengue vector surveillance in Hong Kong – 2007. Dengue Bull. 2008;32:38–43.
Naranjo DP, Qualls WA, Jurado H, Perez JC, Xue R-D, Gomez E, et al. Vector control programs in Saint Johns County, Florida and Guayas, Ecuador: successes and barriers to integrated vector management. BMC Public Health. 2014;14:674.
Raman J, Mauff K, Muianga P, Mussa A, Maharaj R, Barnes KI. Five years of antimalarial resistance marker surveillance in Gaza Province, Mozambique, following artemisinin-based combination therapy roll out. PLoS One. 2011;6(1):e25992.
Yoshikawa MJ. Vector control and surveillance operations in the Republic of Singapore. Trop Med Health. 2013;41(2):61–6.
Flacio E, Engeler L, Tonolla M, Lüthy P, Patocchi N. Strategies of a thirteen year surveillance programme on Aedes albopictus (Stegomyia albopicta) in southern Switzerland. Parasit Vectors. 2015;8:208.
Khosa E, Kuonza LR, Kruger P, Maimela E. Towards the elimination of malaria in South Africa: a review of surveillance data in Mutale municipality, Limpopo Province, 2005 to 2010. Malar J. 2013;12:7.
Simarro P, Franco J, Ndongo P, Nguema E, Louis F, Jannin J. The elimination of Trypanosoma brucei gambiense sleeping sickness in the focus of Luba, Bioko Island. Equatorial Guinea. Trop Med Int Health. 2006;11(5):636–46.
East African Network for Monitoring Antimalarial Treatment (EANMAT). Monitoring antimalarial drug resistance within National Malaria Control Programmes: the EANMAT experience. Tropical Med Int Health. 2001;6:891–8.
Blackmore CGM, Stark LM, Jeter WC, Oliveri RL, Brooks RG, Conti LA, et al. Surveillance results from the first West Nile virus transmission season in Florida. 2001. Am J Trop Med Hyg. 2003;69:141–50.
Díaz C. Preventing dengue at the local level in Havana City. In: Charron DF, editor. Ecohealth research in practice: innovative applications of an ecosystem approach to health. Ottawa: International Development Research Centre; 2011. p. 163–72.
Fine A, Layton M. Lessons from the West Nile viral encephalitis outbreak in new York City, 1999: implications for bioterrorism preparedness. Clin Infect Dis. 2001;32:277–82.
Palaniyandi M. Need for GIS based dengue surveillance with Google internet real time mapping for epidemic control in India. Int J Geomat Geosci. 2014;4(4):132–45.
Pile J. West Nile fever: here to stay and spreading. Cleve Clin J Med. 2001;68(8):553–60.
Arce A, Estirado A, Ordobas M, Sevilla S, Garcia N, Moratilla L, et al. Re-emergence of leishmaniasis in Spain: community outbreak in Madrid, Spain. 2009 to 2012. Euro Surveill. 2013;18(30):20546.
Maciel-de-Freitas R, Avendanho FC, Santos R, Sylvestre G, Araújo SC, Lima JBP, et al. Undesirable consequences of insecticide resistance following Aedes aegypti control activities due to a dengue outbreak. PLoS One. 2014;9:e92424.
Hapuarachchi HC, Koo C, Rajarethinam J, Chong CS, Lin C, Yap G, et al. Epidemic resurgence of dengue fever in Singapore in 2013-2014: a virological and entomological perspective. BMC Infect Dis. 2016;16:300.
Kampen H, Medlock JM, Vaux AGC, Koenraadt CJM, van Vliet AJH, Bartumeus F, et al. Approaches to passive mosquito surveillance in the EU. Parasit Vectors. 2015;8:9.
Seidahmed OME, Siam HAM, Soghaier MA, Abubakr M, Osman HA, Abd Elrhman LS, et al. Dengue vector control and surveillance during a major outbreak in a coastal Red Sea area in Sudan. East Mediterr Health J. 2012;18(12):1217–24.
Epidemic CDC. epizootic West Nile virus in the United States: guidelines for surveillance, prevention, and control, 3rd revision. Fort Collins: U.S. Department of Health and Human Services, Centers for Disease Control and. Prevention. 2003; www.westnile.state.pa.us/action/wnv_guidelines_aug_2003.pdf. Accessed 13 July 2017
Lopez W. West Nile virus in New York City. Am J Public Health. 2002;92(8):1218–21.
Raju AK. Community mobilization in Aedes aegypti control program by source reduction in peri-urban district of Lautoka, Viti Levu. Fiji Islands. Dengue Bull. 2003;27:149–55.
Karema C, Aregawi MW, Rukundo A, Kabayiza A, Mulindahabi M, Fall IS, et al. Trends in malaria cases, hospital admissions and deaths following scale-up of anti-malarial interventions, 2000-2010, Rwanda. Malar J. 2012;11:236.
Regis LN, Acioli RV, Silveira JC Jr, Melo-Santos MAV, Souza WV, Ribeiro CMN, et al. Sustained reduction of the dengue vector population resulting from an integrated control strategy applied in two Brazilian cities. PLoS One. 2013;8(7):e67682.
Hernández-Ávila JE, Rodriguez M-H, Santos-Luna R, Sánchez-Castañeda V, Román-Pérez S, Ríos-Salgado VH, et al. Nation-wide, web-based, geographic information system for the integrated surveillance and control of dengue fever in Mexico. PLoS One. 2013;8(8):e70231.
Huy R, Buchy P, Conan A, Ngan C, Ong S, Ali R, et al. National dengue surveillance in Cambodia 1980-2008: epidemiological and virological trends and the impact of vector control. Bull World Health Organ. 2010;88(9):650–7.
Ritchie SA, Hanna JN, Hills SL, Piispanen JP, McBride WJH, Pyke A, et al. Dengue control in North Queensland, Australia: case recognition and selective indoor residual spraying. Dengue Bull. 2002;26:7–13.
Santana Kde S, Bavia ME, Lima AD, Guimarães IC, Soares ES, Silva MM, et al. Spatial distribution of triatomines (Reduviidae: Triatominae) in urban areas of the city of Salvador, Bahia. Brazil. Geospat Health. 2011;5(2):199–203.
Quinde-Calderón L, Rios-Quituizaca P, Solorzano L, Dumonteil E. Ten years (2004–2014) of Chagas disease surveillance and vector control in Ecuador: successes and challenges. Tropical Med Int Health. 2016;21(1):84–92.
Barbu CM, Buttenheim AM. Pumahuanca M-LH, Calderón JEQ, Salazar R, Carrión M, et al. Residual infestation and recolonization during urban Triatoma infestans bug control campaign, Peru. Emerg Infect Dis. 2014;20(12):2055–63.
Kuan M-M, Chang F-Y. Airport sentinel surveillance and entry quarantine for dengue infections following a fever screening program in Taiwan. BMC Infect Dis. 2012;12:182.
Gavaudan S, Duranti A, Barchiesi F, Ruschioni S, Antognini E, Calandri E, et al. Seasonal monitoring of Aedes albopictus: practical applications and outcomes. Vet Ital. 2014;50(2):109–16.
Tissera H, Pannila-Hetti N, Samaraweera P, Weeraman J, Palihawadana P, Amarasinghe A. Sustainable dengue prevention and control through a comprehensive integrated approach: the Sri Lankan perspective. WHO South East Asia J Public Health. 2016;5(2):106–12.
Adams L, Bello-Pagan M, Lozier M, Ryff KR, Espinet C, Torres J, et al. Update: ongoing Zika virus transmission – Puerto Rico, November 1, 2015 – July 7. 2016. MMWR Morb Mortal Wkly Rep. 2016;65(30):774–9.
Akoua-Koffi C, Ekra KD, Kone AB, Dagnan NS, Akran V, Kouadio KL, et al. Detection and management of the yellow fever epidemic in the Ivory Coast. 2001. Med Trop (Mars). 2002;62(3):305–9.
Chisha Z, Larsen DA, Burns M, Miller JM, Chirwa J, Mbwili C, et al. Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia. Malar J. 2015;14:222.
van Cauteren D, Deniau J, Despres P, Leparc-Goffart I, Debruyne M, Denoyel GA, et al. Surveillance des cas de chikungunya et de dengue en France métropolitaine, 2011 [Surveillance of chikungunya and dengue cases in metropolitan France, 2011]. Bull Epidemiol Hebd (Paris). 2012;49–50:561–4.
Alvarez Valdés AM, Díaz Pantoja C, García Melian M, Piquero Valera ME, Alfonso Berrio L, Torres Rojo Y, et al. Comprehensive surveillance system for dengue prevention. Rev Cubana Med Trop. 2007;59(3):193–201.
Cheung KY, Fok MY. Dengue vector surveillance and control in Hong Kong in 2008 and 2009. Dengue Bull. 2009;33:95–102.
Taleo G, Capuano C, Burkot TR. Dengue control in Vanuatu: towards an integrated vertical and horizontal control program. Dengue Bull. 2000;24:11–7.
Delisle E, Rousseau C, Broche B, Leparc-Goffart I, L’Ambert G, Cochet A, et al. Chikungunya outbreak in Montpellier, France. September to October 2014. Euro Surveill. 2015;20(17)
Rocha C, Morrison AC, Forshey BM, Blair PJ, Olson JG, Stancil JD, et al. Comparison of two active surveillance programs for the detection of clinical dengue cases in Iquitos. Peru. Am J Trop Med Hyg. 2009;80(4):656–60.
Pepin KM, Marques-Toledo C, Scherer L, Morais MM, Ellis B, Eiras AE. Cost-effectiveness of novel system of mosquito surveillance and control. Brazil. Emerg Infect Dis. 2013;19:542–50.
Larsen DA, Chisha Z, Winters B, Mwanza M, Kamuliwo M, Mbwili C, et al. Malaria surveillance in low-transmission areas of Zambia using reactive case detection. Malar J. 2015;14:465.
Kelly GC, Hale E, Donald W, Batarii W, Bugoro H, Nausien J, et al. A high-resolution geospatial surveillance-response system for malaria elimination in Solomon Islands and Vanuatu. Malar J. 2013;12:108.
World Health Organization. WHO position statement on integrated vector management. Geneva: WHO; 2008. http://www.who.int/malaria/publications/atoz/who_htm_ntd_vem_2008_2/en/index.html. Accessed 13 July 2017
Tapia-Conyer R, Méndez-Galván J, Burciaga-Zúñiga P. Community participation in the prevention and control of dengue: the patio Limpio strategy in Mexico. Paediatr Int Child Health. 2012;32(Suppl 1):10–3.
Lee CT, Vora NM, Bajwa W, Boyd L, Harper S, Kass D, et al. Zika virus surveillance and preparedness - New York City, 2015–2016. MMWR Morb Mortal Wkly Rep. 2016;65(24):629–35.
Suter TT, Flacio E, Feijoó Fariña B, Engeler L, Tonolla M, Regis LN, et al. Surveillance and control of Aedes albopictus in the Swiss-Italian border region: differences in egg densities between intervention and non-intervention areas. PLoS Negl Trop Dis. 2016;10:e0004315.
Kay B, Nam VS. New strategy against Aedes aegypti in Vietnam. Lancet. 2005;365(9459):613–7.
Teng TB. New initiatives in dengue control in Singapore. Dengue Bull. 2001;25:1–6.
Terranella A, Eigiege A, Gontor I, Dagwa P, Damishi S, Miri E, et al. Urban lymphatic filariasis in Central Nigeria. Ann Trop Med Parasitol. 2006;100(2):163–72.
Gitonga CW, Karanja PN, Kihara J, Mwanje M, Juma E, Snow RW, et al. Implementing school malaria surveys in Kenya: towards a national surveillance system. Malar J. 2010;9:306.
Sharp TM, Roth NM, Torres J, Ryff KR, Rodriguez NMP, Mercado C, et al. Chikungunya cases identified through passive surveillance and household investigations - Puerto Rico, May 5–August 12. 2014. MMWR Morb Mortal Wkly Rep. 2014;63(48):1121–8.
Handing P, Desheng H, Ketai W. Approach to surveillance and consolidation during past 15 years after elimination of schistosomiasis in shanghai. Acta Trop. 2002;82(2):301–3.
Almeida MAB, Cardoso Jda C. dos Santos E, da Fonseca DF, Cruz LL, Faraco FJC, et al. Surveillance for yellow fever virus in non-human primates in southern Brazil, 2001–2011: a tool for prioritizing human populations for vaccination. PLoS Negl Trop Dis. 2014;8:e2741.
Nogareda F, Joshua C, Sio A, Shortus M, Dalipanda T, Durski K, et al. Ongoing outbreak of dengue serotype-3 in Solomon Islands, January to May 2013. West Pac Surveill Response J. 2013;4(3):28–33.
Soriano-Arandes A, Basile L, Ouaarab H, Clavería I, Gímez i, Prat J, Cabezos J, et al. Controlling congenital and paediatric chagas disease through a community health approach with active surveillance and promotion of paediatric awareness. BMC Public Health. 2014;14:1201.
Succo T, Leparc-Goffart I, Ferré JB, Broche B, Maquart M, Noël H, et al. Détection et investigation d’un foyer autochtone de dengue dans le sud de la France, 2015 [Detection and investigation of a dengue outbreak in the south of France, 2015]. Bull Epidémiol Hebd (Paris). 2016;18–19:328–34.
Maia-Elkhoury ANS, Alves WA, de Sousa-Gomes ML, de Sena JM, Luna EA. Visceral leishmaniasis in Brazil: trends and challenges. Cad Saúde Pública. 2008;24(12):2941–2947.
Gürtler RE. Sustainability of vector control strategies in the Gran Chaco region: current challenges and possible approaches. Mem Inst Oswaldo Cruz. 2009;104(Suppl 1):52–9.
La Ruche G, Souarès Y, Armengaud A, Peloux-Petiot F, Delaunay P, Desprès P, et al. First two autochthonous dengue virus infections in metropolitan France. September 2010. Euro Surveill. 2010;15:2–6.
Chanda E, Coleman M, Kleinschmidt I, Hemingway J, Hamainza B, Masaninga F, et al. Impact assessment of malaria vector control using routine surveillance data in Zambia: implications for monitoring and evaluation. Malar J. 2012;11:437.
X-m H, Wang S, Huang J, Lin S, Tong C, Li S, et al. The control and surveillance of filariasis in Hainan Province, China. Southeast Asian J Trop Med Public Health. 2008;39(1):27–32.
Neame RL. Privacy protection for personal health information and shared care records. Inform Prim Care. 2014;21(2):84–91.
Chang AY, Parrales ME, Jimenez J, Sobieszczyk ME, Hammer SM, Copenhaver DJ, et al. Combining Google earth and GIS mapping technologies in a dengue surveillance system for developing countries. Int J Health Geogr. 2009;8:49.
Mostashari F, Kulldorff M, Hartman JJ, Miller JR, Kulasekera V. Dead bird clusters as an early warning system for West Nile virus activity. Emerg Infect Dis. 2003;9(6):641–6.
Pepin KM, Leach CB, Marques-Toledo C, Laass KH, Paixao KS, Luis AD, et al. Utility of mosquito surveillance data for spatial prioritization of vector control against dengue viruses in three Brazilian cities. Parasit Vectors. 2015;8:98.
von Seidlein L, Kekulé AS, Strickman D. Novel vector control approaches: the future for prevention of Zika virus transmission? PLoS Med. 2017;14(1):e1002219.
WHO. Vector Control Advisory Group (VCAG). Geneva: World Health Organization; 2015. http://www.who.int/neglected_diseases/vector_ecology/VCAG/en/. Accessed 12 June 2015.
Moreno MA, López MAA, Lucas CHA, Ornelas PT, Esqueda AL, Enciso ID. Segundo año de la estrategia estatal de Combate al dengue en Colima [second year of the state strategy for combating dengue in Colima]. Med Int Mex. 2013;29:265–75.
Flamand C, Quenel P, Ardillon V, Carvalho L, Bringay S, Teisseire M. The epidemiologic surveillance of dengue-fever in French Guiana: when achievements trigger higher goals. Stud Health Technol Inform. 2011;169:629–33.
Bowman LR, Runge-Ranzinger S, McCall PJ. Assessing the relationship between vector indices and dengue transmission: a systematic review of the evidence. PLoS Negl Trop Dis. 2014;8(5):e2848.
Daudens E, Lastere S, Hirschauer C, Cao-Lormeau van M, Louette R, Roche C, et al. Épidémiologie de la dengue et stratégies de lutte en Polynésie française, 2006–2008 [Epidemiology of dengue and control strategies in French Polynesia from 2006 to 2008]. Bull Epidemiol Hebd (Paris). 2009;48/50:499–503.
Runge-Ranzinger S, McCall PJ, Kroeger A, Horstick O. Dengue disease surveillance: an updated systematic literature review. Tropical Med Int Health. 2014;19(9):1116–60.
Mukonka VM, Chanda E, Haque U, Kamuliwo M, Mushinge G, Chileshe J, et al. High burden of malaria following scale-up of control interventions in Nchelenge District, Luapula Province, Zambia. Malar J. 2014;13:153.
Espinoza N, Borrás R, Abad-Franch F. Chagas disease vector control in a hyperendemic setting: the first 11 years of intervention in Cochabamba. Bolivia. PLoS Negl Trop Dis. 2014;8(4):e2782.
Ngoagouni C, Kamgang B, Nakouné E, Paupy C, Kazanji M. Invasion of Aedes albopictus (Diptera: Culicidae) into Central Africa: what consequences for emerging diseases? Parasit Vectors. 2015;8:191.
Stevenson JC, Norris DE. Implicating cryptic and novel anophelines as malaria vectors in Africa. Insects. 2016;8(1):1.
Msellemu D, Namango HI, Mwakalinga VM, Ntamatungiro AJ, Mlacha Y, Mtema ZJ, et al. The epidemiology of residual plasmodium falciparum malaria transmission and infection burden in an African city with high coverage of multiple vector control measures. Malar J. 2016;15:288.
Lee K-S, Lai Y-L, Lo S, Barkham T. Aw P, Ooi P-L, et al. Dengue virus surveillance for early warning, Singapore. Emerg Infect Dis. 2010;16:847–9.
Paniz-Mondolfi AE, Rodriguez-Morales AJ, Blohm G, Marquez M, Villamil-Gomez WE. ChikDenMaZika syndrome: the challenge of diagnosing arboviral infections in the midst of concurrent epidemics. Ann Clin Microbiol Antimicrob. 2016;15(1):42.
Siron S, Dagenais C, Ridde V. What research tells us about knowledge transfer strategies to improve public health in low-income countries: a scoping review. Int J Public Health. 2015;60(7):849–63.
The authors are grateful to the VERDAS consortium for sharing experiences at the Cali workshop, to Lucie Lechat for help in selecting articles and to Mariam Otamani Del Barrio for her comments on the manuscript.
The Special Programme for Research and Training in Tropical Diseases (TDR) hosted at the World Health Organization (WHO) funded the VERDAS research Consortium, for “VEctor boRne DiseAses Scoping reviews”.
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The authors declare that they have no competing interests.
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Search strategy. (DOCX 31 kb)
Additional file 3:
Data extraction grid. (XLSX 139 kb)
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List of included references. (DOCX 52 kb)
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Fournet, F., Jourdain, F., Bonnet, E. et al. Effective surveillance systems for vector-borne diseases in urban settings and translation of the data into action: a scoping review. Infect Dis Poverty 7, 99 (2018). https://doi.org/10.1186/s40249-018-0473-9
- Vector-borne diseases
- Surveillance systems
- Urban health
- Scoping review