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      Antimicrobial resistance from a one health perspective in Cameroon: a systematic review and meta-analysis

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          Abstract

          Background

          Antimicrobial resistance (AMR) is widely acknowledged as a global health problem, yet in many parts of the world its magnitude is not well elucidated. A baseline assessment of the AMR prevalence is a priority for implementation of laboratory-based AMR surveillance This review, focused on a One health approach, aimed at describing the current status of AMR in Cameroon.

          Methods

          PubMed, Google Scholar and African Journals Online databases were searched for articles published in English and French in accordance with the PRISMA guidelines. Retrieval and screening of article was done using a structured search string with strict inclusion/exclusion criteria. Free-text and grey literature were obtained by contacting the authors directly. The pooled prevalence and 95% confidence intervals were calculated for each pathogen–antibiotic pairs using random-effects models.

          Result

          Amongst 97 full-text articles reviewed, 66 met the eligibility criteria. The studies originated from the Centre (24; 36.4%), South-West (16; 24.2%), West (13; 19.7%), Littoral (9; 13.6%) and other (4; 6.1%) regions of Cameroon. These studies reported AMR in human (45; 68.2%), animals (9; 13.6%) and the environment (12; 18.2%). Overall, 19 species of bacteria were tested against 48 antibiotics. These organisms were resistant to all classes of antibiotics and showed high levels of multidrug resistance. Escherichia coli, Klebsiella pneumoniae and Staphylococcus spp were reported in 23, 19 and 18 of the human studies and revealed multidrug resistance (MDR) rates of 47.1% [95% CI (37.3–57.2%)], 51.0% [95% CI (42.0–59.9)] and 45.2% [95% CI (38.0–54.7)], respectively. Salmonella spp was reported in 6 of the animal studies and showed a MDR rate of 46.2% [95% CI (39.2–53.5%)] while Staphylococcus spp in 8 of environment studies showed MDR rate of 67.1% [95% CI (55.2–77.2%)].

          Conclusion

          This review shows that resistance to commonly prescribed antibiotics in Cameroon is high. The findings emphasize the urgent need to address gaps in the standardization of AMR diagnostics, reporting and use of available information to optimize treatment guidelines for the arsenal of antibiotics. Effective AMR surveillance through continued data sharing, large-scale collaboration, and coordination of all stakeholders is essential to understand and manage the AMR national burden.

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          Most cited references64

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          From “one medicine” to “one health” and systemic approaches to health and well-being☆

          Faced with complex patterns of global change, the inextricable interconnection of humans, pet animals, livestock and wildlife and their social and ecological environment is evident and requires integrated approaches to human and animal health and their respective social and environmental contexts. The history of integrative thinking of human and animal health is briefly reviewed from early historical times, to the foundation of universities in Europe, up to the beginning of comparative medicine at the end of the 19th century. In the 20th century, Calvin Schwabe coined the concept of “one medicine”. It recognises that there is no difference of paradigm between human and veterinary medicine and both disciplines can contribute to the development of each other. Considering a broader approach to health and well-being of societies, the original concept of “one medicine” was extended to “one health” through practical implementations and careful validations in different settings. Given the global health thinking in recent decades, ecosystem approaches to health have emerged. Based on complex ecological thinking that goes beyond humans and animals, these approaches consider inextricable linkages between ecosystems and health, known as “ecosystem health”. Despite these integrative conceptual and methodological developments, large portions of human and animal health thinking and actions still remain in separate disciplinary silos. Evidence for added value of a coherent application of “one health” compared to separated sectorial thinking is, however, now growing. Integrative thinking is increasingly being considered in academic curricula, clinical practice, ministries of health and livestock/agriculture and international organizations. Challenges remain, focusing around key questions such as how does “one health” evolve and what are the elements of a modern theory of health? The close interdependence of humans and animals in their social and ecological context relates to the concept of “human-environmental systems”, also called “social-ecological systems”. The theory and practice of understanding and managing human activities in the context of social-ecological systems has been well-developed by members of The Resilience Alliance and was used extensively in the Millennium Ecosystem Assessment, including its work on human well-being outcomes. This in turn entails systems theory applied to human and animal health. Examples of successful systems approaches to public health show unexpected results. Analogous to “systems biology” which focuses mostly on the interplay of proteins and molecules at a sub-cellular level, a systemic approach to health in social-ecological systems (HSES) is an inter- and trans-disciplinary study of complex interactions in all health-related fields. HSES moves beyond “one health” and “eco-health”, expecting to identify emerging properties and determinants of health that may arise from a systemic view ranging across scales from molecules to the ecological and socio-cultural context, as well from the comparison with different disease endemicities and health systems structures.
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            Antimicrobial resistance in Africa: a systematic review

            Background Antimicrobial resistance (AMR) is widely acknowledged as a global problem, yet in many parts of the world its magnitude is still not well understood. This review, using a public health focused approach, aimed to understand and describe the current status of AMR in Africa in relation to common causes of infections and drugs recommended in WHO treatment guidelines. Methods PubMed, EMBASE and other relevant databases were searched for recent articles (2013–2016) in accordance with the PRISMA guidelines. Article retrieval and screening were done using a structured search string and strict inclusion/exclusion criteria. Median and interquartile ranges of percent resistance were calculated for each antibiotic-bacterium combination. Results AMR data was not available for 42.6% of the countries in the African continent. A total of 144 articles were included in the final analysis. 13 Gram negative and 5 Gram positive bacteria were tested against 37 different antibiotics. Penicillin resistance in Streptococcus pneumoniae was reported in 14/144studies (median resistance (MR): 26.7%). Further 18/53 (34.0%) of Haemophilus influenza isolates were resistant to amoxicillin. MR of Escherichia coli to amoxicillin, trimethoprim and gentamicin was 88.1%, 80.7% and 29.8% respectively. Ciprofloxacin resistance in Salmonella Typhi was rare. No documented ceftriaxone resistance in Neisseria gonorrhoeae was reported, while the MR for quinolone was 37.5%. Carbapenem resistance was common in Acinetobacter spp. and Pseudomonas aeruginosa but uncommon in Enterobacteriaceae. Conclusion Our review highlights three important findings. First, recent AMR data is not available for more than 40% of the countries. Second, the level of resistance to commonly prescribed antibiotics was significant. Third, the quality of microbiological data is of serious concern. Our findings underline that to conserve our current arsenal of antibiotics it is imperative to address the gaps in AMR diagnostic standardization and reporting and use available information to optimize treatment guidelines. Electronic supplementary material The online version of this article (10.1186/s12879-017-2713-1) contains supplementary material, which is available to authorized users.
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              Systematic review and meta-analysis methodology.

              Systematic reviews and meta-analyses are being increasingly used to summarize medical literature and identify areas in which research is needed. Systematic reviews limit bias with the use of a reproducible scientific process to search the literature and evaluate the quality of the individual studies. If possible the results are statistically combined into a meta-analysis in which the data are weighted and pooled to produce an estimate of effect. This article aims to provide the reader with a practical overview of systematic review and meta-analysis methodology, with a focus on the process of performing a review and the related issues at each step.
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                Author and article information

                Contributors
                mouichemoctar4@gmail.com
                freddymoffo@gmail.com
                jakoachere@yahoo.com
                ndodeherman@gmail.com
                peminabilah@yahoo.fr
                valentinengum@yahoo.com
                abelwade@gmail.com
                ffnouboue@yahoo.fr
                dtseuko@yahoo.fr
                hzambou2000@yahoo.fr
                mfeussom@gmail.com
                mlebreton@mosaic.cm
                awahndukum@yahoo.co.uk
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                19 August 2019
                19 August 2019
                2019
                : 19
                : 1135
                Affiliations
                [1 ]GRID grid.440604.2, Department of Pharmacy, Pharmacology and Toxicology, School of Veterinary Medicine and Sciences, , University of Ngaoundéré, ; Ngaoundéré, Cameroon
                [2 ]MOSAIC, Yaoundé, Cameroon
                [3 ]ISNI 0000 0001 0657 2358, GRID grid.8201.b, Laboratory of Animal Physiology and Health, Department of Zootechnics, Faculty of Agronomy and Agricultural Sciences, , University of Dschang, ; Dschang, Cameroon
                [4 ]ISNI 0000 0001 2288 3199, GRID grid.29273.3d, Department of Microbiology and Parasitology, Faculty of Science, , University of Buea, ; Buea, Cameroon
                [5 ]Institute of Agricultural Research for Development, Veterinary Research Laboratory, Wakwa Regional Center, Ngaoundéré, Cameroon
                [6 ]Johns Hopkins Cameroon Program, Yaoundé, Cameroon
                [7 ]National Veterinary Laboratory (LANAVET), Yaounde, Cameroon
                [8 ]GRID grid.449595.0, Faculty of Heath Science, , Université des Montagnes, ; Bangangté, Cameroon
                [9 ]National Public Health Laboratory (LNSP), Yaounde, Cameroon
                [10 ]Epidemiology-Public Health-Veterinary Association (ESPV), Yaounde, Cameroon
                [11 ]ISNI 0000 0004 0491 9073, GRID grid.463441.0, Cameroon Epidemiological Network for Animal Diseases (RESCAM), , Ministry of Livestock, Fisheries and Animal Industries (MINEPIA), ; Yaoundé, Cameroon
                [12 ]GRID grid.449799.e, College of Technology, , University of Bamenda, ; Bambili, Cameroon
                Author information
                http://orcid.org/0000-0002-4900-3670
                Article
                7450
                10.1186/s12889-019-7450-5
                6700798
                31426792
                ca99c4ac-ef89-499d-b8bb-96ecb2438ba2
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 March 2019
                : 6 August 2019
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Public health
                antimicrobial resistance,bacteria,one health,human,animal,environment,systematic review,meta-analysis,cameroon

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