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This article is part of the series Surveillance and Response to Infectious Diseases of Poverty.

Open Access Editorial

Elimination of tropical disease through surveillance and response

Xiao-Nong Zhou12*, Robert Bergquist3 and Marcel Tanner45

Author Affiliations

1 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, 200025, People’s Republic of China

2 WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, 200025, People’s Republic of China

3 Ingerod, 407, Brastad, Sweden

4 Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box, Basel, CH-4002, Switzerland

5 University of Basel, P.O. Box, Basel, CH-4003, Switzerland

For all author emails, please log on.

Infectious Diseases of Poverty 2013, 2:1  doi:10.1186/2049-9957-2-1

The electronic version of this article is the complete one and can be found online at: http://www.idpjournal.com/content/2/1/1


Received:18 December 2012
Accepted:24 December 2012
Published:3 January 2013

© 2013 Zhou et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Surveillance and response represent the final crucial steps in achieving effective control and particularly elimination of communicable diseases as recognized in the area of neglected tropical diseases (NTDs), applied in increasing numbers in endemic countries with ongoing control and elimination programmers. More and more national NTD elimination initiatives are scheduled based on the innovative and effective One world-One health perspective to detect pockets of transmission and disease reintroduction. Resource-constrained countries, which carry the heaviest NTD burdens, face various challenges how to strengthen the health system as well as developing effective and novel tools for surveillance and response tailored to local settings. Surveillance-response approaches take place in two different stages corralling the basic components of the surveillance-response system for NTD elimination. Six different research priorities have been identified:1)dynamic mapping of transmission, 2) near real-time capture of population dynamics, 3) modelling based on a minimum essential database/dataset, 4) implementation of mobile health (m-health) and sensitive diagnostics, 5) design of effective response packages tailored to different transmission settings and levels, and 6) validation of approaches and responses packages.

Background

In 2011, the World Health Organization (WHO) Strategic and Technical Advisory Group for Neglected Tropical Diseases (NTDs) and its partners among other influential organizations, adopted a roadmap for control, elimination and eradication [1]. Inspired by this roadmap, global health leaders, including the Chief Executive Officers (CEOs) of major pharmaceutical companies, Bill Gates of the Bill & Melinda Gates Foundation, WHO Director General Margaret Chan and senior government officials from both endemic and donor countries, signed the London Declaration, which represents an unprecedented commitment to control or eliminate 10 diseases by the end of this decade [2]. All stakeholders believe in charting a new course toward health and sustainability among the world’s poorest communities offering them a stronger, healthier future through implementation of the declaration. The goal is to eradicate blinding trachoma, leprosy, human African trypanosomiasis, lymphatic filariasis globally by 2020, while rabies, endemic treponematoses (yaws), Chagas disease, visceral leishmaniasis, onchocerciaisis and schistosomiasis are targeted for elimination at the regional level at the same time [1,3]. More recently, a growing number of countries has adopted malaria elimination as a goal in response to the global malaria elimination programme [4]. For example, the African Union’s 2007 “Africa Malaria Elimination Campaign”, the recent declaration by the Bill and Melinda Gates Foundation of reinstating global eradication as a long-term objective, and the reiterated support by the Director General of WHO, have all reinforced the goal of local elimination, as well as global eradication not only as a vision, but also as a realistic, long-term objective [5,6]. Success would represent one of the most cost-effective means to lift more than 1 billion people out of poverty and prevent needless suffering among future generations [3,4].

Elimination of a disease is defined as reducing a locally acquired infection to zero incidence in a specific, geographic area through deliberate efforts, leading to interruption of its transmission [7,8]. To achieve this, it is necessary to formulate a strategy for elimination and prevention of disease reintroduction at the national level. Strengthening the health system is particularly important for the national elimination programme in the developing countries [9]. Technically, higher coverage of intervention is encouraged to sustain and maintain what has already been achieved and this can only be done by a highly efficient programme management. As has been experienced by the polio and smallpox eradication programmes [10,11], surveillance and response systems appear to be the most cost-effective way to improve the efficiency in disease elimination. Intervention needs to target the heterogeneity of transmission, especially with respect to the identification and rapid elimination of foci of all infections, both symptomatic and asymptomatic [12]. However, the concept and role of a surveillance and response system for disease elimination have not been fully developed and validated for all different types of disease and all different epidemiological settings [13]. Questions surrounding these areas were discussed during The First Forum on Surveillance Response System Leading to Tropical Diseases Elimination, held in Shanghai, Peoples’ Republic of China (P.R. China) on 16–17 June, 2012, with the aim to explore novel approaches towards the establishment of integrated surveillance-response systems that would enable disease elimination efforts.

Surveillance and response systems under the health systems framework

The concept of surveillance and response evolved from the original vision of the general and open-ended-term “surveillance”, which can now be defined as the ongoing systematic collection, analysis, and interpretation of health data [14]. It is aimed at discovery, investigation, and elimination of continuing transmission, the prevention and cure of infection and final substantiation of claimed eradication [14,15]. Timely dissemination of surveillance results can improve planning, implementation, and evaluation of public health practice, by using at least four different approaches, i.e. health facility-based or community-based surveillance, sentinel surveillance, laboratory-based surveillance, and disease-specific surveillance [16]. For example, an effective schistosomiasis surveillance system enables programme managers to identify the risk areas, or the population groups most affected, identify trends in both human and animal cases that require intervention, and assess the efficiency and impact of control measures [17,18].

The surveillance and response approach entails the One world-One health perspective geared at detection, reporting, analysis, interpretation and action for public health by integrating and streamlining common surveillance activities [19]. However, to comply with the overriding aim of disease elimination, it should be followed by an effective public health response – delivered as integrated packages – with the purpose to interrupt transmission in well defined areas. The other key feature is that surveillance and response systems are based on a set of minimum essential data aiming at the capture of foci/pockets of transmission or disease reintroduction. This approach is different from the classical monitoring and evaluation with its focus on collecting all possible data, which often leads to information overflow as well as lack of feedback and rapid effective public health action. The One world-One health perspective also contains the strategy that addresses events at the intersection of human, domestic animal, wildlife, and ecosystem health situation [20]. Its effective and timely public health responses depend upon the ability of health systems to provide accurate and timely information for action [21]. The global smallpox and polio eradication programmes provide excellent examples of the critical role that surveillance plays in linking surveillance data to targeted public health responses [10,11]. The desired performance of the surveillance and response systems is to generate information for timely action contributing to the reduction of mortality, disability and morbidity for the targeted diseases, e.g. epidemic-prone diseases, and diseases targeted for eradication and elimination [16]. However, in many resource constrained countries, health systems and thus surveillance systems provide a weak response capacity to emerging threats due to scarce resources, except for selected high-priority diseases [22,23]. As shown here, the One world-One health approach is able to overcome two of the abovementioned problems in health systems research and the application of an integrated strategy [20,24].

The first issue of the Infectious Diseases of Poverty journal, with its theme of health system for infectious diseases of poverty, called for countries with strong surveillance systems to facilitate their national elimination programmes by improving their health systems with respect to detection, notification and launching of public health responses that can manage foci of transmission as well as outbreaks/epidemics, and individual cases [25,26]. Such systems are an integral part of health systems with the structural (facilities, equipment) and functional (mainly human resources) capacities. For example, with regard to malaria elimination, in-door spraying in transmission foci is one of the response measures that needs to be performed immediately once such foci are found. However, these actions need to be complemented by active case detection and treatment among all inhabitants and migrants in the suspected remaining pocket of transmission [25,27].

The role of surveillance and response in disease elimination

Countries do generally not attempt to initiate elimination efforts for any disease until an intensive surveillance system is in place. This fact not only emphasizes the need to develop effective surveillance systems based on the minimum essential data concept, but also serves to design public health response packages for the different endemic settings. Clearly, this calls for the establishment of validated surveillance-response systems [28]. The First Forum on Surveillance Response System Leading to Tropical Diseases Elimination brought together scientists, diseases control managers and experts from different disciplines and countries to discuss surveillance-response approaches, the most promising experience so far made and the avenues to be pursued in the future. Case studies were discussed in detail such as elimination of malaria in Zanzibar [29,30] and lymphatic filariasis in P.R. China [31]. In Zanzibar, early detection of unusual events is particularly important for effective and timely action, monitoring and evaluation of interventions. It is also critical for the guidance of the selection of appropriate corrective measures to reduce malaria transmission by mobile phone system [30]. In P.R. China, stopping mass chemotherapy against lymphatic filariasis and intensifying the surveillance after the microfilaria rate had fallen to the 1% prevalence level, i.e. under the threshold of transmission, was the critical step in achieving national elimination of this disease [31,32]. The reported experience also trigged renewed efforts to eliminate other NTDs, such as visceral leishmaniasis, onchocerciaisis, and schistosomiasis [1].

Shifting from measuring morbidity and mortality to detecting infections and measuring transmission is a major move transferring the emphasis from general control to elimination. Now surveillance-responses, based on the idea of “surveillance as an intervention tool”, become the key activities [14], leading to a transition stage between control and elimination, which requires the institution of the surveillance-response systems. At this stage, emphasis should be on: (i) standard case definitions to identify and report priority diseases, (ii) collecting and using surveillance data to alert higher levels and trigger local public health action, (iii) investigating and confirming suspected outbreaks or public health events using laboratory confirmation when identified, (iv) analyzing and interpreting data collected in outbreak investigations and data from routine monitoring of other priority diseases, (v) using data analysis to implement an appropriate response, (vi) providing feedback within and across levels of the health system, and (vii) evaluating and improving the performance of the surveillance-response systems [12,19,33]. At the elimination stage, on the other hand, the surveillance-response systems need to focus on the following four aspects: (i) rapid detection of existing, new or re-introduced (e.g., crossing country and regional borders) infections, (ii) identification of areas of low transmission (e.g., from symptomatic and asymptomatic infections), (iii) understanding trends in disease incidence and prevalence (shifts in age groups, increasing parasite heterogeneity, changes in seasonality), and (iv) detection of possible drug resistance [30,34-38].

With challenges in the national elimination programme not only with respect to the disease landscape, but also regarding the broader context of changes with respect to disease foci or outbreak events, we have to make sure that the surveillance-response systems function well. This requires two kinds of action. The first is to establish a good surveillance-response system which consists of at least four components, which include: (i) the definition of the minimum essential data for surveillance, (ii) modelling to forecast/predict disease transmission or possible reintroduction, (iii) develop novel tools to sensitively detect or respond to low-transmission patterns and (re-)emerging pathogens, and (iv) evaluation of the elimination programme that needs additional indices to provide the threshold of zero transmission and specific parameters depending on scenarios (Figure 1).

thumbnailFigure 1. The major components of a surveillance-response system. Four components are crucial: (i) a minimum database/dataset for data collection and management, (ii) data modelling by either statistical or mathematical models to forecast the future tendency of disease transmission, thereby providing the guidance for intervention, (iii) novel tools to sensitively detect or respond to low-transmission patterns and (re-)emerging pathogens, and (iv) evaluation of the chosen elimination programme. The overall goal will depend on additional indices to provide the threshold of zero transmission and specific parameters depending on specific scenarios (MED = Minimum Essential Database/set, M&E = Monitoring and Evaluation). (This figure was contributed by Dr. Guo-Jing Yang, and Dr. Jing-Fan Xu).

The second is to promote innovations in the surveillance-response systems. For instance, for malaria to be eliminated, the basic reproduction rate (the number of new malaria cases generated by a single case over the duration of an infection) has to be less than one [39]. With the existing arsenal of tools, only the density of mosquitoes, their daily survival rate, their biting rate and the duration of infection in humans can be manipulated by intervention. Current antimalarial interventions lead to a reduction in the basic rate of malaria reproduction by reducing human infectivity with early and effective treatment and reducing vector capacity by mos-quito control measures [40]. However, when taking into account such changes of environmental and social patterns, such as increased migration to cities with subsequent increase in health conditions, climate change and shifting disease patterns, wider access to wireless technologies (cellular phones and the Internet), innovative surveillance and response are also highly accessible in remote areas where people live under poor conditions [30,41]. The capacity of surveillance and response is fuelled by heightened awareness of the importance of national core capacities for surveillance and response demonstrated by adoption of the International Health Regulations [42].

The First Forum on Surveillance Response System Leading to Tropical Disease Elimination identified six research priorities to strengthen the surveillance-response systems within national elimination programmes:

Dynamic mapping of “pockets” of transmission and/or disease reintroduction;

Dynamic, near real-time capture of population dynamics;

Modelling to optimize surveillance and response systems with regards to the minimum essential data required for surveillance in space and time and for estimating/predicting outcomes and impact of different response packages;

Use of new technologies in elimination strategies supported by mobile and electronic (m- and e-health) –based approaches as well as improved and more sensitive strategies of diagnosis;

Design of response packages tailored to different transmission settings and levels; and

Continuous validation of approaches and response packages.

The First Forum on Surveillance Response System Leading to Tropical Diseases Elimination was held in Shanghai in June 2012 due to the higher awareness of the possibility to move towards elimination of different national diseases. The meeting outlined the research priorities needed and emphasized the development of surveillance-response systems that take into account the One world-One health approach realizing the crucial importance of this approach. Due to the fact that most NTDs are endemic in resource constrained countries, the enormous gaps in the area of surveillance-response systems in the poor countries can only be overcome by a renewed efforts of applied research complemented by a strengthening the health system as well as the development of effective and novel tools tailored to local settings [43]. However, acceptability of new tools for surveillance and response is governed by socio-cultural and political factors, which also need to be taken into account when tailoring the integrated disease control or elimination to a specific setting [44].

Competing interests

The authors declare that there are no competing interests.

Authors’ contributions

XNZ, and RB conceived and wrote the first version of the manuscript. XNZ, RB and MT revised the manuscript. XNZ finalized the manuscript. All of authors read and approved the final version of the manuscript.

References

  1. WHO: Accelerating work to overcome the global impact of neglected tropical diseases-a roadmap for implementation. Geneva: WHO Press; 2012. OpenURL

  2. Anderson R, Hollingsworth TD, Truscott J, Brooker S: Optimisation of mass chemotherapy to control soil-transmitted helminth infection.

    Lancet 2012, 379(9813):289-290. PubMed Abstract | Publisher Full Text OpenURL

  3. WHO: First WHO report on neglected tropical diseases: working to overcome the global impact of neglected tropical diseases. Geneva: WHO Press; 2010. OpenURL

  4. Feachem RG, Phillips AA, Targett GA, Snow RW: Call to action: priorities for malaria elimination.

    Lancet 2010, 376(9752):1517-1521. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  5. Najera JA, Gonzalez-Silva M, Alonso PL: Some lessons for the future from the Global Malaria Eradication Programme (1955–1969).

    PLoS Med 2011, 8(1):e1000412. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  6. Feachem RG, Phillips AA, Hwang J, Cotter C, Wielgosz B, Greenwood BM, Sabot O, Rodriguez MH, Abeyasinghe RR, Ghebreyesus TA, et al.: Shrinking the malaria map: progress and prospects.

    Lancet 2010, 376(9752):1566-1578. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  7. Marsh K: Research priorities for malaria elimination.

    Lancet 2010, 376(9753):1626-1627. PubMed Abstract | Publisher Full Text OpenURL

  8. MalERA: A research agenda for malaria eradication: modeling.

    PLoS Med 2011, 8(1):e1000403. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  9. MalERA, Operational R: A research agenda for malaria eradication: health systems and operational research.

    PLoS Med 2011, 8(1):e1000397. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  10. Loevinsohn B, Aylward B, Steinglass R, Ogden E, Goodman T, Melgaard B: Impact of targeted programs on health systems: a case study of the polio eradication initiative.

    Am J Pub Health 2002, 92(1):19-23. Publisher Full Text OpenURL

  11. Henderson DA: Principles and lessons from the smallpox eradication programme.

    Bull World Health Organ 1987, 65(4):535-546. PubMed Abstract | PubMed Central Full Text OpenURL

  12. World Health Organization Regional Office for Africa: Integrated disease surveillance and response: a regional strategy for communicable diseases 1999–2003 (AFR/RC/48.8). Harare: WHO; 1999.

    http://www.afro.who.int/csr/ids/publications/ids.pdf webcite (accessed on 18 December 2012)

    OpenURL

  13. MalERACGoIS: A research agenda for malaria eradication: cross-cutting issues for eradication.

    PLoS Med 2011, 8(1):e1000404. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  14. MalERA Consultative Group on Monitoring, Surveillance: A research agenda for malaria eradication: monitoring, evaluation, and surveillance.

    PLoS Med 2011, 8(1):e1000400. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  15. Yekutiel P: Problems of epidemiology in malaria eradication.

    Bull World Health Organ 1960, 22:669-683. PubMed Abstract | PubMed Central Full Text OpenURL

  16. Perry HN, McDonnell SM, Alemu W, Nsubuga P, Chungong S, Otten MW Jr, Lusamba-dikassa PS, Thacker SB: Planning an integrated disease surveillance and response system: a matrix of skills and activities.

    BMC Med 2007, 5:24. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  17. Collins C, Xu J, Tang S: Schistosomiasis control and the health system in China.

    Inf Dis Poverty 2012, 1(1):7. OpenURL

  18. Bergquist R, Tanner M: Controlling schistosomiasis in Southeast Asia: a tale of two countries.

    Adv Parasitol 2010, 72:109-144. PubMed Abstract | Publisher Full Text OpenURL

  19. World Health Organization, Centers for Disease Control and Prevention: Tchnical guiances for intergrated disease surveillance and response in the African region. 2nd edition. Edited by Francis Kasolo JBR, Helen P. Brazzaville: Republic of Congo and Atlanta, USA; 2010:1-398. OpenURL

  20. Zhou XN: Prioritizing Research for “One health-One world”.

    Inf Dis Poverty 2012, 1(1):1. OpenURL

  21. Thacker SB: Surveillance. In Field epidemiology. 2nd edition. Edited by Gregg MB. New York: Oxford University Press; 2002:26-50. OpenURL

  22. Hotchkiss DR, Eisele TP, Djibuti M, Silvestre EA, Rukhadze N: Health system barriers to strengthening vaccine-preventable disease surveillance and response in the context of decentralization: evidence from Georgia.

    BMC Publ Health 2006, 6:175. BioMed Central Full Text OpenURL

  23. Huntington D: Health systems perspectives – infectious diseases of poverty.

    Inf Dis Poverty 2012, 1(1):3. OpenURL

  24. Tambo E, Adebowale AA, Huang F, Chen JH, Zhou SS, Tang LH: Moving Malaria from Epidemic towards Elimination: A tale of events between 1960 and 2012 in Sub Sahara Africa and China.

    Inf Dis Poverty 2012, 1(1):6. OpenURL

  25. Liu J, Yang B, Cheung W, Yang GJ: Modelling malaria diffusion patterns: a network perspective.

    Inf Dis Poverty 2012, 1(1):11. OpenURL

  26. Bergquist R, Whittaker M: Strengthening control of neglected tropical diseases in the Asia Pacific region: implications for health information priorities.

    Inf Dis Poverty 2012, 1(1):4. OpenURL

  27. Mueller I, Slutsker L, Tanner M: Estimating the burden of malaria: the need for improved surveillance.

    PLoS Med 2011, 8(12):e1001144. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  28. Universal health coverage, themed issue. 2012.

    http://www.thelancet.com/themed-universal-health-coverage webcite (accessed on December 29, 2012)

    OpenURL

  29. Sabot O, Cohen JM, Hsiang MS, Kahn JG, Basu S, Tang L, Zheng B, Gao Q, Zou L, Tatarsky A, et al.: Costs and financial feasibility of malaria elimination.

    Lancet 2010, 376(9752):1604-1615. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  30. Tatem AJ, Qiu Y, Smith DL, Sabot O, Ali AS, Moonen B: The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents.

    Malar J 2009, 8:287. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  31. Utzinger J, Bergquist R, Olveda R, Zhou XN: Important helminth infections in Southeast Asia diversity, potential for control and prospects for elimination.

    Adv Parasitol 2010, 72:1-30. PubMed Abstract | Publisher Full Text OpenURL

  32. Sudomo M, Chayabejara S, Duong S, Hernandez L, Wu WP, Bergquist R: Elimination of lymphatic filariasis in Southeast Asia.

    Adv Parasitol 2010, 72:205-233. PubMed Abstract | Publisher Full Text OpenURL

  33. Parrish GB II, McDonnell S: Sources of health related information. In Principles and practice of public health surveillance. 2nd edition. Edited by Teutsch SM, Churchill RE. New York: Oxford University Press; 2000:76-94. OpenURL

  34. Lee P-W, Liu C-T, Rampao HS, do Rosario VE, Shaio M-F: Pre-elimination of malaria on the island of Príncipe.

    Malar J 2010, 9:26. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  35. Hotez PJ, Ehrenberg JP: Escalating the global fight against neglected tropical diseases through interventions in the Asia Pacific region.

    Adv Parasitol 2010, 72:31-53. PubMed Abstract | Publisher Full Text OpenURL

  36. Sun LP, Liang YS, Wu HH, Tian ZX, Dai JR, Yang K, Hong QB, Zhou XN, Yang GJ: A Google Earth-based surveillance system for schistosomiasis japonica implemented in the lower reaches of the Yangtze River, China.

    Parasit Vectors 2011, 4:223. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  37. Huang F, Zhou S, Zhang S, Li W, Zhang H: Monitoring resistance of Plasmdium vivax: point mutations in dihydrofolate reductase gene in isolates from Central China.

    Parasit Vectors 2011, 4:80. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  38. Yang GJ, Gao Q, Zhou SS, Malone JB, McCarroll JC, Tanner M, Vounatsou P, Bergquist R, Utzinger J, Zhou XN: Mapping and predicting malaria transmission in the People’s Republic of China, using integrated biology-driven and statistical models.

    Geospat Health 2010, 5(1):11-22. PubMed Abstract | Publisher Full Text OpenURL

  39. Ermert V, Fink AH, Jones AE, Morse AP: Development of a new version of the Liverpool Malaria Model. I. Refining the parameter settings and mathematical formulation of basic processes based on a literature review.

    Malar J 2011, 10(1):35. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  40. Alonso PL, Brown G, Arevalo-Herrera M, Binka F, Chitnis C, Collins F, Doumbo OK, Greenwood B, Hall BF, Levine MM, et al.: A research agenda to underpin malaria eradication.

    PLoS Med 2011, 8(1):e1000406. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  41. Holy M, Schmidt G, Schroder W: Potential malaria outbreak in Germany due to climate warming: risk modelling based on temperature measurements and regional climate models.

    Env Sci Pollution Res Intl 2011, 18(3):428-435. Publisher Full Text OpenURL

  42. Katz R, Hate V, Kornblet S, Fischer JE: Costing framework for international health regulations (2005).

    Emerg Inf Dis 2012, 18(7):1121-1127. Publisher Full Text OpenURL

  43. Yang GJ, Tanner M, Utzinger J, Malone JB, Bergquist R, Chan EYY, Gao Q, Zhou XN: Malaria surveillance-response strategies in different transmission zones of the People's Republic of China: preparing for climate change.

    Malar J 2012, 11:426. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  44. So AD, Ruiz-Esparza Q: Technology innovation for infectious diseases in the developing world.

    Inf Dis Poverty 2012, 1:2. OpenURL