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Where literature is scarce: observations and lessons learnt from four systematic reviews of zoonoses in African countries

Published online by Cambridge University Press:  18 July 2016

Silvia Alonso*
Affiliation:
International Livestock Research Institute, Nairobi, Kenya
Johanna Lindahl
Affiliation:
International Livestock Research Institute, Nairobi, Kenya Swedish University of Agricultural Sciences, PO Box 7054, Uppsala, Sweden
Kristina Roesel
Affiliation:
International Livestock Research Institute, Nairobi, Kenya Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, Berlin, Germany
Sylvain Gnamien Traore
Affiliation:
Université Péléforo Gon Coulibaly, Abidjan, Côte d'Ivoire Centre Suisse de Recherches Scientifiques en Côte d'Ivoire (CSRS), Abidjan, Côte d'Ivoire
Bassa Antoine Yobouet
Affiliation:
Centre Suisse de Recherches Scientifiques en Côte d'Ivoire (CSRS), Abidjan, Côte d'Ivoire Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
Andrée Prisca Ndjoug Ndour
Affiliation:
Afrique One Consortium/Ecole Inter-Etats des Sciences et Médecine Vétérinaires (EISMV), Abidjan, Côte d'Ivoire
Maud Carron
Affiliation:
Royal Veterinary College, London, UK Leverhulme Centre for Integrative Research on Agriculture and Health (LCIRAH), London, UK
Delia Grace
Affiliation:
International Livestock Research Institute, Nairobi, Kenya
*
*Corresponding author. E-mail: s.alonso@cgiar.org
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Abstract

The success of a systematic review depends on the availability, accessibility and quality of literature related to the review question. This paper presents the literature found in four systematic reviews conducted for a selection of zoonotic hazards in four livestock value chains in Africa, as well as setting out the challenges in conducting the reviews. The protocol was designed following international standards, and addressed four questions around prevalence, risk factors, control options and impact of various hazards and populations. Searches were conducted in four online databases. Articles were screened for relevance, and quality was assessed before data extraction. Literature on zoonotic hazards was in general scarce and access to full articles was limited. Overall, 25–40% of papers were considered poor quality. The diversity of approaches and designs in the studies compromised the ability to generate summarized estimates. We found that the emphasis of veterinary research has been on livestock problems rather than public health issues, although this seems to be shifting in the last decade; we also found there are limited studies on impact and control. While increasing literature is being published around zoonoses in Africa, this is still inadequate to appropriately inform policy and guide research efforts.

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2016

Introduction

Increasing amounts of research are generated and published every year. The speed at which new results are released makes it challenging for users to keep up with new findings. Literature reviews can have an important role in synthesizing evidence. Systematic reviews (SRs) use explicit and reproducible methods to systematically search, critically appraise, and synthesize a specific issue, enabling increased and more efficient access to evidence (Petticrew, Reference Petticrew2001; Gopalakrishnan and Ganeshkumar, Reference Gopalakrishnan and Ganeshkumar2013; Sargeant and O'Connor, Reference Sargeant and O'Connor2014b). However, a review is only as good as the papers it draws on. Research efforts are not everywhere equal, and the target topics of research do not always reflect the priorities of countries. While SRs are increasingly common in developed countries, less is known about their applicability to questions where most of the data is drawn from research conducted and published in developing countries and where the focus is a relatively neglected topic, such as zoonoses of livestock (Schelling et al., Reference Schelling, Grace and Willingham2007).

In developing countries, entire societies rely on the income and products that derive from livestock production, and livestock farmers often live in close contact with their animals. Outbreaks of emerging infectious diseases, such as Ebola, Rift Valley fever, and avian influenza demonstrate the social, economic, and health impacts of zoonotic pathogens (Meslin et al., Reference Meslin, Stöhr and Heymann2000; Cutler et al., Reference Cutler, Fooks and Van Der Poel2010). While these emerging threats generate much media and international attention, endemic zoonotic infections (including those caused by foodborne pathogens) receive less attention; many of these are underreported and their real burden on people's health and wellbeing is unknown (ILRI, 2012). However, the greatest burden of neglected zoonoses is borne by developing countries (Grace et al., Reference Grace, Gilbert, Randolph and Kang'ethe2012b). Work by the World Health Organization (WHO) Foodborne Disease Burden Epidemiology Reference Group (FERG) has found that foodborne disease (with zoonotic bacteria as leading causes) has a health burden similar to malaria, HIV, and AIDs, or tuberculosis worldwide, and that 98% of this was borne by developing countries (WHO, 2015). The greater health burden in developing countries is attributable partly to a larger population, but also greater interaction with, and dependence on, animals; insufficient infrastructure to contain and manage disease in animals; and, high levels of poverty and inadequate human health provision (Thornton, Reference Thornton2010; Herrero and Thornton, Reference Herrero and Thornton2013; FAO, 2014; Halliday et al., Reference Halliday, Allan, Ekwem, Cleaveland, Kazwala and Crump2015). Low-income countries often lack an evidence base for planning and targeting control efforts (Schelling et al., Reference Schelling, Grace and Willingham2007); this has been attributed to limited knowledge of zoonotic causes of human disease by health professionals and policy makers; fragmentary data collection and reporting systems; lack of diagnostic capacities; lack of reference laboratories; and, lack of reliable qualitative and quantitative data on zoonotic diseases burden. Moreover, decision making on veterinary public health management is still hazard-based rather than risk-based; that is, it is based more on the presence of pathogens than their impact on human health. These facts undermine all efforts to successfully develop and implement evidence-based policies to manage public health threats.

Evidence-based policy making requires enough sound scientific work around a specific topic, but also the unbiased interpretation and meaningful synthesis of findings from various researches. Systematic review and meta-analysis are considered the gold standard approaches to obtaining the most compelling and strong evidence base. SRs can also be used to identify lack of evidence, and direct future research efforts (Sargeant and O'Connor, Reference Sargeant and O'Connor2014b). Their traditional use has been in the clinical field and, although their ability to answer broader public health questions has been questioned (Petticrew, Reference Petticrew2001), the recently-formed Cochrane public health group (http://ph.cochrane.org/) aims to promote the production and publication of population-level interventions. Despite the different nature of interventions in livestock and agri-food systems, the use of SRs in veterinary medicine and agriculture is increasing (Sargeant et al., Reference Sargeant, Rajic, Read and Ohlsson2006). The success and ultimate usefulness of a SR depend on the amount and soundness of the available scientific work, and its ease of access.

As part of a multi-country research project to develop standardized tools to carry out Rapid Integrative Assessments (RIA) of Food Safety and Nutrition (http://livestockfish.cgiar.org/2013/03/22/assessing-food-safety-and-food-nutrition/) a protocol and research tools were developed to carry out systematic literature reviews of foodborne and zoonotic hazards in selected livestock value chains (LVC) in developing countries. The SRs were intended to provide baseline information/data on the prevalence of zoonotic and foodborne hazards, risk factors, impacts, and control. Ultimately, the outcomes from the SRs were expected to help prioritize pathogens at the LVC-country level and inform the subsequent research and development activities. This paper offers a retrospective reflection on the SR process, presenting the findings from four different SRs, carried out on different value chains and regions, in terms of the literature availability and quality, highlighting challenges associated with conducting SRs to answer public health questions of relevance to developing countries. We further discuss the limitations of the SR approach where literature is scarce and access is limited, as well as the implications for evidence-based decision making in low-income countries. This paper does not present findings of the SRs, which will be the focus of subsequent publications (e.g., Alonso et al., Reference Alonso, Dohoo, Lindahl, Verdugo, Akuku and Grace2016).

Materials and methods

The overall aim of the SRs was to summarize the available literature on a selection of human health hazards associated with specific animal value chains in given low-income countries. The SR was used in the following LVC-country combinations:

  • Bovine value chain in Tanzania

  • Pig value chain in Uganda

  • Small ruminant (sheep and goat) meat value chain in West Africa (Senegal, Mali, Mauritania, Côte d'Ivoire and Burkina Faso)

  • Fish (tilapia) value chain in Egypt.

The protocol for systematic search of scientific literature was developed based on best practices outlined in relevant literature (O'Connor et al., Reference O'Connor, Anderson, Goodell and Sargeant2014; Sargeant and O'Connor, Reference Sargeant and O'Connor2014a) and included the following steps:

  • Identifying the research gap and framing the research question(s)

  • Selecting the literature databases to search

  • Developing search criteria (constraints) and search syntax for each database

  • Developing inclusion/exclusion and quality criteria

  • Screening of titles and abstracts according to inclusion/exclusion criteria

  • Reviewing selected full papers on the basis of inclusion and quality criteria

  • Developing a data extraction file

  • Extracting data from selected papers

The protocol included a detailed step-by-step guide on the SR process that was to be adapted to the specifics of each LVC in each country (see supplementary material S1). It also included a standardized template for data extraction, also intended for adaptation to the specific LVC-country requirements. The reviews were broad, as targeting many hazards and various hosts and to account for the expected limited literature on the topic, but the research questions were focused. For each review, the SR aimed to address the following research questions (an example of an adapted PICOS question is also provided):

  • What is the prevalence of the selected hazards in the target animal species and food products in the target country? (e.g. what is the prevalence of Brucella spp. infection in cattle in Tanzania)

  • What are the risk factors for each of the selected hazards in each of the selected populations in the target area? (e.g. What are the risk factors for Brucella spp. infection in cattle in Tanzania)

  • What impacts does each of the selected hazards in the target population have in the target area (including (i) overall disease burden (DALYs: Disability-adjusted life yearFootnote 1 ), (ii) economic burden (at individual or population levels), (iii) health, (iv) social, (v) environment)? (e.g. What type of impacts does Brucella spp. in cattle has in Tanzania?

  • What are the available control strategies for each of the selected hazards and what is their effectiveness in the selected populations in the target areas? (e.g. what are the available control strategies for Brucella spp. in cattle in Tanzania and their effectiveness)

Public health hazards of interest were identified for each country-LVC. This was done primarily based on the hazard prioritization presented in Grace et al. (Reference Grace, Mutua, Ochungo, Kruska, Jones, Brierley, Lapar, Said, Herrero, Phuc, Thao, Akuku and Ogutu2012a) followed by consultation of international and local public health experts to adjust to the local context, aiming at being inclusive and comprehensive. These included foodborne hazards (biological and chemical) and zoonoses (direct and vector-borne) (Table 1).

Table 1. List of hazards targeted in each SR

Online searches

Searches were conducted in the following online databases: PubMed, CabDirect, Web of Science (WoS) and African Journals Online (AJOL). The databases were selected so as to ensure the broadest possible coverage of scientific literature, including African journals. In West Africa, in order to reach the French scientific literature, searches were conducted in Google Scholar using French syntax. Search syntax was developed for each database using the following generic format: (list of hazards) AND (animal source food OR animal) AND (country). The syntax was left generic so as to reach all literature covering the various aspects of interest (e.g. prevalence, impact, risk factors, control). A detailed description of the syntax is given in the supplementary material (S1). The searches were limited to literature published on or before December 2012 (June 2013 in the case of the Egypt SR) and, in the case of the review in West Africa and Uganda, not older than 1988 and 1990, respectively. Only publications written in English were included in the review, except for the West Africa review, which explicitly targeted French literature in addition to English. Searches outside of electronic databases were not conducted. The PRISMA 2009 (Moher et al., Reference Moher, Liberati, Tetzlaff and Altman2009) flow diagram was used to document the systematic review process.

Screening of titles and abstracts

Upon searching the online databases, full lists of titles and abstracts were downloaded, and duplicates identified and removed manually, except in the case of the Tanzania SR in which duplicates were removed using Mendeley Reference Manager (http://www.mendeley.com). Titles and abstracts were then blind screened (all features apart from titles and abstract were removed) by at least two independent reviewers and assessed against relevance (inclusion and exclusion) criteria (see Table 2); articles scored as ‘relevant’ by at least one reviewer were retained for further review.

Table 2. Inclusion/exclusion criteria

Bibliographic databases were created in Mendeley Reference Manager. Full papers from ‘selected’ titles were downloaded online or through institutional libraries, when available. If not available, corresponding authors were contacted to request a copy of the article (except for the West Africa and Egypt reviews).

Review of papers and data extraction

The reviewing and data extraction team consisted of 2–4 reviewers. All reviewers had research experience, and were conversant with basic concepts of epidemiology, as well as public health. Quality criteria were developed and agreed prior to starting review of full papers. These covered two main aspects: evidence of robust epidemiological approaches (e.g. unbiased methods, appropriate data analysis, comprehensive data collection) and rigorous reporting of methods, approaches and results (i.e. paper contains all the required information to judge quality and scientific soundness, and to extract required data). Table 3 provides more specifics of quality criteria applied to reviewed literature. According to these criteria, papers were categorized as poor, medium or high quality. Quality criteria were only applied to full papers, and not to abstracts, given the limited information available in the latter.

Table 3. Quality criteria

1 Results were considered to be sound and valid, and were therefore extracted.

A data extraction template was prepared as an Excel file to facilitate standardized extraction of detailed data on prevalence and risk factors for each hazard (supplementary material S2). The data on control and impact was expected to be less structured and more of qualitative nature in the literature, and therefore the data extraction template was not restrictive (i.e. did not require extraction of information on specific variables but rather allowed extraction of messages and relevant pieces of information), allowing more flexibility for the extraction of information (Popay et al., Reference Popay, Rogers and Williams1998). Data was extracted from both full papers and, to the extent possible, from abstracts (when the full paper was not available). The data extraction files consisted of the following spreadsheets:

  • Selection process – full list of titles and documented decisions regarding (i) inclusion/exclusion based on agreed criteria, (ii) exclusion due to other reasons (i.e. books), (iii) exclusion based on quality criteria.

  • Prevalence – Titles and data extracted on prevalence

  • Risk factors – Titles and data extracted on risk factors

  • Control – Titles and data extracted on control

  • Impact – Titles and data extracted on impact

Reviewers read the full paper and abstracts (when full paper was not available), and (i) excluded irrelevant articles (according to inclusion/exclusion criteria), (ii) judge the quality of the selected article (only for full papers) and (iii) extracted the data. Ten per cent of the full papers and abstracts (when the full paper was unavailable) were reviewed in parallel by all reviewers in two separate rounds. A meeting was held after each round to compare reviewers' decisions on inclusion/exclusion, quality and data to be extracted; discussions were held and consensus reached. The data extraction template was reviewed according to the reviewers' feedback, to address the limitations encountered and help make the data extraction process standard. The remaining papers (90%) were each reviewed by just one reviewer.

Data analysis

We summarized descriptively the size and the quality of the body of literature for each of the SRs. In addition, we explored the overall temporal pattern of the published literature in each SR, and the evolution in quality and availability.

Results

Profile, size, and quality of the body of literature

The use of multiple databases helped obtain a comprehensive compilation of the literature. Cabdirect and Web of Science databases gave larger lists of literature in most reviews, but 50% was duplicated when using more than one database. AJOL, an online database specialized in the literature from Africa, did not contribute substantially to the list of articles. In Egypt and West Africa, this database did not contribute any papers, and in Tanzania only 13 articles were found, with virtually all (12 out of 13) already found in the other three databases. Including Google Scholar in the SR for West Africa allowed for inclusion of relevant French literature (1/3 of the overall literature found for West Africa). Table 4 gives the number of hits obtained in each database for each review, and the number of duplicates.

Table 4. Number of unique records obtained from each database in each of the SRs

D, duplicates; – database not used.

1 Includes 54 articles published as proceedings in one publication.

Figure 2 presents the flowchart for all reviews with details on the number of papers excluded at each step of the review. In most reviews, at least around a quarter of the finally used (i.e. data extracted) publications was not accessible as full text. In Tanzania, overall, 31% (36/115) of the finally selected articles could not be accessed as full paper. Similarly, in Uganda out of the 41 titles considered relevant, only 23 (57.5%) were accessible online as full papers (of which only 8 (20%) were available open access). An additional ten papers were accessible through other sources (i.e. google via European partner VPN), resulting in 83% of the final articles available as full papers. In Egypt, 52% of papers were obtained as full text and in the case of the review in West Africa only 21% of the articles for which data was extracted were available as full text. Table 5 presents the details of the number of papers that were available either as full papers or as abstracts. Accessibility of full papers did change over time, with less full articles available before 1990 (see Fig. 1).

Fig. 1. Proportion of full papers, and good quality full papers by year of publication (Tanzania and Egypt SRs).

Fig. 2. Flowchart of the review process for each SR, including numbers screened-in and out at each step of the SR.

Table 5. Total number of full papers and abstracts selected and the percentage of those rated moderate to good quality for each of the research questions.

1 Numbers include poor quality papers. Some papers contributed to more than one research question.

2 Number papers rated as having good or medium quality*100/total number of papers reviewed.

3 Quality not assessed.

The quality assessment of full papers further excluded many articles. In Tanzania, 23 out of 102 full papers (22.6%) were excluded due to poor quality, and in Uganda poor quality papers were 40% of the total number of reviewed papers (Table 5). For half of the rejected papers, inadequate methods (or the use of methods considered not sound) to estimate prevalence, or undertake risk factor analysis, was the reason for rejection. In the other cases, rejection was down to simply the inability to reliably extract data, or even to judge the soundness of the study design, due to poor or incomplete reporting of methods or results. We found the quality of papers improved over time (Fig. 1).

Hazards and distribution over time

We found substantial differences in the amount of literature available for the different research questions. The outcome of all reviews showed that most studies had focused on investigating the presence and/or estimating the prevalence of hazards, followed by studies that attempted to elucidate risk factors associated with the hazards. The amount of studies investigating impacts or presenting control options was much limited (Table 5). Moreover, the SRs revealed a very heavily skewed distribution of the literature among the selected hazards (Table 6). In Tanzania, most of the scientific work has focused on three infections of cattle: Brucella spp., Mycobacterium spp. and Trypanosoma spp. In the review in West Africa, most literature had focused on Rift Valley fever, associated with important losses in small ruminants. In the case of fish, heavy metals were the most studied hazards. These were also the hazards for which research was found around control and impacts.

Table 6. Number of papers selected for each pathogen, including poor quality papers

A, abstract; F, full paper; Z, zoonotic; FB, foodborne; NZ, non zoonotic.

Some papers contributed to more than one research question. Hazards for which no abstracts or full papers were selected are not presented in the table.

The availability of literature and its focus evolved over time. In Uganda, little research on pig-associated zoonoses was found, and this was exclusively linked to Trypanosoma spp. until 2000, when research started touching on a larger range of zoonotic hazards (Fig. 3). Similarly, in Tanzania, while the research work has always been dominated by the three cattle infections mentioned above, other pathogens, primarily foodborne zoonotic agents, started to feature from the 1990s. In West Africa, Rift Valley fever research continued to dominate over other hazards (Fig. 3).

Fig. 3. Temporal distribution of the literature by hazard for each SR (number of articles selected and rated from moderate to good quality, by year of publication).

Discussion

We conducted SRs for a selection of zoonotic hazards in four different LVCs in four regions in Africa. None of the research questions addressed a specific intervention, and therefore did not follow precisely the PICO format described by O'Connor et al. (Reference O'Connor, Anderson, Goodell and Sargeant2014). Instead, the questions aimed at gathering data and information on different aspects of relevance to public health (prevalence, risk factors, control and impact), and were phrased so as to allow retrieval and selection of publications on various hazards and on various livestock value chains. Although these questions, compared with intervention questions, require a less structured approach to selection and data extraction, these are comparable with the approaches preferred to answer public health questions (Jackson and Waters, Reference Jackson and Waters2004). Each review also targeted a large number of hazards, partly because of the anticipated limited availability of research on the subject. This increased the workload as it required the preparation of separate data extraction files for each of the research questions, and needed targeted discussions within the review team to standardize the types of data extraction for each question.

The quality of the research was variable. Often poor quality was the result of a poor study design, which brought into question the reliability of the results. However, papers were also judged of poor quality when incomplete reporting of information in the manuscript prevented data extraction. Suboptimal reporting of research precludes appropriate use of the research findings and standard publication checklists are increasingly being developed to support rigorous reporting for research work and results (e.g. STROBE statement, Vandenbroucke et al., Reference Vandenbroucke, von Elm, Altman, Gøtzsche, Mulrow, Pocock, Poole, Schlesselman and Egger2007).

Each review was conducted by different teams (only the Tanzania and Egypt review teams included the same reviewers) at different geographical and institutional locations, and therefore access to literature databases and full texts was determined by the degree of access to international literature of the team. The use of various databases was important to obtain a comprehensive compilation of the literature, but the degree of duplicated literature among databases was substantial. Surprisingly AJOL did not contribute many additional hits to the reviews. A challenge commonly faced by African institutions is access to full papers and open access databases of scientific literature. While PubMed and AJOL are open access databases, Cab Direct and WoS require paid registration. In Tanzania and Egypt respectively, 70 and 93% of articles were obtained through these two databases. The team conducting the review in Uganda lacked institutional access to WoS, while the one in West Africa lacked also access to CabDirect, which meant some relevant articles were probably omitted. Even with institutional access to the databases, it may not be possible for researchers in developing countries to access full papers. The number of scientific journals to which research institutions in Africa subscribe to it is likely to be variable across institutions, but, considering how costly these can be, it is also likely to be substantially smaller than the average number of subscriptions held by institutions in, for example, Europe or the USA (Musakali, Reference Musakali2010; Kebede et al., Reference Kebede, Zielinski, Mbondji, Sanou, Kouvividila and Lusamba-Dikassa2014; Karsten and West, Reference Karsten and West2016). This explains why the proportion of full papers for Tanzania and Egypt (reviews conducted by ILRI, an international research institute with access to a larger number of journals) is higher than the proportion for West Africa. If African universities do not have a budget for journal subscriptions or purchase of articles, access to international and high-quality scientific literature is limited. Although scientists may access abstracts, these are not an adequate source of scientific information, as they often lack relevant details on study design and characteristics, and do not allow for quality assessment of the research. The need for full paper retrieval is particularly important considering the amount of literature in our review that was judged to be of poor quality. This represents one of the biggest barriers to promoting the dissemination of scientific knowledge and hinders the capacity of African institutions to influence policy through science. To increase the capacity of African institutions to benefit from published research, the burden associated with subscription fees should be alleviated. The practice of levying subscription fees to institutions within such countries, applied by some international journals, should be encouraged broadly. Also publication of research outputs in open access journals should be facilitated and promoted within the global scientific community.

Literature was overall scarce on the selected zoonotic hazards. The review that produced the largest amount of literature was that for cattle production in Tanzania and this may be explained by the role and importance of this production system in this country and region. Tanzania is traditionally a cattle keeping community, with beef and dairy as the largest livestock sectors (MLFD, 2010). This could justify large research efforts and investments in this sector, both nationally and by the international scientific community. On the contrary, pig production in Uganda has only just emerged, with pig production increasing exponentially since the 1990s (FAOSTATFootnote 2 ) and per capita consumption of pork being the highest in East Africa (ILRI et al., 2011). However, pig keeping is not yet considered a priority on the governments' agricultural agenda, which may explain the little attention received by this value chain from the scientific community. Interestingly, the tilapia value chain is among the oldest and most important food systems in Egypt (El-Sayed, Reference El-Sayed2006). Egypt is an important tilapia producer, with 12% of the global production in 2002, and the largest producer in Africa and the Near East region (El-Sayed, Reference El-Sayed2006; FAO, 2006) and yet there was little available literature on zoonotic hazards related to this food product. Considering that in Egypt tilapia is mainly produced for the domestic market (Macfadyen et al., Reference Macfadyen, Nasr-Allah and Dickson2012), a body of scientific literature may exist in local scientific journals, which are often not indexed in international databases, and are therefore not accessible to the broadest scientific community. The case is similar for research in West Africa; in our review, including searches in French was key to obtaining literature, with 35% of the included papers exclusively published in French. When conducting SRs on matters of relevance to low-income countries, it is important to not only ensure targeted searches in all relevant languages, but also screening the literature available in national journals, in order to obtain the most comprehensive collation of literature.

Our results show that research in these LVC-countries has been selective, with a few prominent hazards studied more extensively than others. In Uganda, the main researched zoonoses in pigs have been trypanosomiasis followed by Taenia solium cysticercosis. Uganda is a hotspot for human African trypanosomiasis, or sleeping sickness (both forms Gambiense and Rhodesiense) and has therefore always been a prominent disease. With pigs being a potential reservoir, this livestock species has often been included in Trypanosoma screenings in livestock. Taenia solium cysticercosis, especially due to the potential long-term impact on humans (i.e. epilepsy), has been listed as a neglected tropical disease by the WHO, and research increased largely over the past two decades. Other potential pork-borne zoonotic agents of potentially greater health burden, such as Salmonella spp., enterotoxigenic Escherichia coli and Mycobacterium spp. have only recently been added to the research agenda.

In Tanzania and West Africa, we found an emphasis on infectious agents associated with livestock production constraints rather than exclusive zoonotic risk. In West Africa, most research on small ruminants has focused on Rift Valley fever, a zoonosis associated with hemorrhagic fever in human beings and one of the most devastating diseases of sheep and cattle herds in Africa (Pepin et al., Reference Pepin, Bouloy, Bird, Kemp and Paweska2010). The disease is often considered an emerging infectious disease with potential for spreading to Europe or America (Chevalier et al., Reference Chevalier, Pépin, Plée and Lancelot2010). First reported in East Africa, reports of this disease in West Africa are more recent, with large outbreaks occurring from 1987 and onwards (Nanyingi et al., Reference Nanyingi, Munyua, Kiama, Muchemi, Thumbi, Bitek, Bett, Muriithi and Njenga2015), resulting in major economic losses. It is therefore possible that it has been relatively easy to attract funding for studying this disease compared with endemic diseases with less notorious impacts. In Tanzania, Brucella spp. and Mycobacterium spp. have always featured prominently in the literature. These organisms are present worldwide and have historically been among the most important production threats and zoonoses. They have been, and still are, the focus of control efforts throughout the world and it is therefore not surprising that most research has put the focus on these diseases. Trypanosomiasis is also one of the most devastating and most studied bovine diseases in Africa. From the beginning of the 20th century, trypanosomiasis has been the focus of research efforts of the veterinary community in Africa, and large amounts of research funding have been destined to fight this major vector-borne disease (de Raadt, Reference de Raadt2005; Steverding, Reference Steverding2008). This too explains why this is the only hazard for which we found scientific literature investigating control and impact. However, as in the case of Uganda, these zoonoses may not be the most important from a public health perspective. Interestingly, the recent report by the FERG estimated that in the East Africa sub-region, which includes Tanzania, non-typhoidal salmonellosis has a burden of 1.9 million DALYs while brucellosis has a burden of 3225 DALYs (WHO, 2015). In the literature published on tilapia value chain in Egypt, it is clear that chemical hazards (especially heavy metals) are more studied than biological hazards, despite the fact that the health impacts of biologic hazards in fish are likely higher than the impacts of heavy metals (WHO, 2015).

It is clear that governments, media and the agendas of donors can substantially shape the priorities for research, especially in developing countries. As argued by Blench (Reference Blench, Blench and MacDonald2000), the International Livestock Centre for Africa (ILCA), operating in Africa from 1974 to 1994, excluded research on pigs likely driven by prejudices from potential donor agencies and the perceived competition between pigs and humans for food (Blench, Reference Blench, Blench and MacDonald2000). Our study seems to suggest that most of the focus of research on the livestock value chains has been placed on production threats and diseases associated with historically important public health impacts. The increasing literature in all countries from the 1990s on other zoonotic pathogens (i.e. foodborne) for which livestock are a healthy reservoir suggests a shift in priorities, and represents a step forward towards the widely promoted One Health approach to research and policy (Welburn et al., Reference Welburn, Beange, Ducrotoy and Okello2015). In the years following this review (2013 to today) zoonotic pig diseases are more researched in East Africa; 29 original research articles have been published since then covering the role of pigs in zoonoses, including pork-borne infectious diseases such as enterotoxigenic E. coli, salmonellosis, Taenia solium cysticercosis, tungiasis and Ebola (potentially pork-borne, but not yet proven), among others (data not shown). Other likely important pig zoonoses such as trichinellosis and campylobacteriosis are still under-researched.

Policy-oriented research must be able to answer policy questions. Understanding disease risk and impact is crucial to setting priorities, allocating public funds and discussing trade-offs. Veterinary public health research has focused on assessing the presence of hazards and, to a limited extent, on identifying risk factors for infection. Solid risk factor analysis is still a big challenge in developing countries where data on etiologic agents of disease outbreaks both in humans and animals as well as structured disease reporting is scarce. Policy makers in developing countries require a more comprehensive understanding of zoonotic hazards and local health risks to be able to formulate actionable and effective policy measures. Our SRs found that research on disease impact, management and mitigation of zoonotic risks is worryingly lacking. Ultimately, this impedes prioritization of public health problems and the utilization of scarce resources in the most effective way (Roesel and Grace, Reference Roesel and Grace2014).

Conclusion

The ability to undertake SRs on veterinary public health in livestock systems in Africa is compromised by limited availability and accessibility of the literature. High quality research should be promoted. More research is needed on livestock and public health issues, with an emphasis on zoonotic pathogens that are sub-clinically carried by livestock, but that cause a significant health burden in people. Also, research on disease impacts and control is especially lacking, and should be made a priority.

Accessibility of the literature is a major constraint for African research institutes and individuals. It is therefore imperative that research on topics of relevance to low-income countries is published in open access journals. Greater efforts could be made to have more comprehensive open-access, web-based African repositories of research literature on topics of relevance to Africa. Even though this work focused on Africa, the same situation is likely to apply in many other low-income countries and, similarly, efforts should be made to provide access to journals and databases globally.

Supplementary material

The supplementary material for this article can be found at http://dx.doi.org/10.1017/S1466252316000104.

Acknowledgments

We would like to thank all the library staff who helped us access full texts. Thank you also to the additional review team members, which included Michael Ocaido and Joseph Erume (Makerere University Kampala, Uganda), Cristobal Verdugo and Isaiah Akuku. A special thanks to Dr Ian Dohoo (Prof. em. University of Prince Edward Island, Canada) for his encouragement to publish this work and his input to the outline of the manuscript. The work was funded by the Consultative Group for International Agricultural Research (CGIAR) Research Program on Agriculture for Nutrition and Health, the Australian Centre for International Agricultural Research (ACIAR) and the ‘Safe Food, Fair Food’ project (funded by the Federal Ministry for Economic Cooperation and Development, Germany).

Footnotes

1 Number of years lost due to ill-health, disability or early death (WHO, http://www.who.int/healthinfo/global_burden_disease/metrics_daly/en/)

2 FAOSTAT. Annual average of live pigs in Uganda 1970–2014. http://faostat3.fao.org/browse/Q/QA/E; accessed February 2016)

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Figure 0

Table 1. List of hazards targeted in each SR

Figure 1

Table 2. Inclusion/exclusion criteria

Figure 2

Table 3. Quality criteria

Figure 3

Table 4. Number of unique records obtained from each database in each of the SRs

Figure 4

Fig. 1. Proportion of full papers, and good quality full papers by year of publication (Tanzania and Egypt SRs).

Figure 5

Fig. 2. Flowchart of the review process for each SR, including numbers screened-in and out at each step of the SR.

Figure 6

Table 5. Total number of full papers and abstracts selected and the percentage of those rated moderate to good quality for each of the research questions.

Figure 7

Table 6. Number of papers selected for each pathogen, including poor quality papers

Figure 8

Fig. 3. Temporal distribution of the literature by hazard for each SR (number of articles selected and rated from moderate to good quality, by year of publication).

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