Biosecurity and water, sanitation, and hygiene (WASH) interventions in animal agricultural settings for reducing infection burden, antibiotic use, and antibiotic resistance: a One Health systematic review
- PMID: 37164518
- DOI: 10.1016/S2542-5196(23)00049-9
Biosecurity and water, sanitation, and hygiene (WASH) interventions in animal agricultural settings for reducing infection burden, antibiotic use, and antibiotic resistance: a One Health systematic review
Abstract
Prevention and control of infections across the One Health spectrum is essential for improving antibiotic use and addressing the emergence and spread of antibiotic resistance. Evidence for how best to manage these risks in agricultural communities-45% of households globally-has not been systematically assembled. This systematic review identifies and summarises evidence from on-farm biosecurity and water, sanitation, and hygiene (WASH) interventions with the potential to directly or indirectly reduce infections and antibiotic resistance in animal agricultural settings. We searched 17 scientific databases (including Web of Science, PubMed, and regional databases) and grey literature from database inception to Dec 31, 2019 for articles that assessed biosecurity or WASH interventions measuring our outcomes of interest; namely, infection burden, microbial loads, antibiotic use, and antibiotic resistance in animals, humans, or the environment. Risk of bias was assessed with the Systematic Review Centre for Laboratory Animal Experimentation tool, Risk of Bias in Non-Randomized Studies of Interventions, and the Appraisal tool for Cross-Sectional Studies, although no studies were excluded as a result. Due to the heterogeneity of interventions found, we conducted a narrative synthesis. The protocol was pre-registered with PROSPERO (CRD42020162345). Of the 20 672 publications screened, 104 were included in this systematic review. 64 studies were conducted in high-income countries, 24 studies in upper-middle-income countries, 13 studies in lower-middle-income countries, two in low-income countries, and one included both upper-middle-income countries and lower-middle-income countries. 48 interventions focused on livestock (mainly pigs), 43 poultry (mainly chickens), one on livestock and poultry, and 12 on aquaculture farms. 68 of 104 interventions took place on intensive farms, 22 in experimental settings, and ten in smallholder or subsistence farms. Positive outcomes were reported for ten of 23 water studies, 17 of 35 hygiene studies, 15 of 24 sanitation studies, all three air-quality studies, and 11 of 17 other biosecurity-related interventions. In total, 18 of 26 studies reported reduced infection or diseases, 37 of 71 studies reported reduced microbial loads, four of five studies reported reduced antibiotic use, and seven of 20 studies reported reduced antibiotic resistance. Overall, risk of bias was high in 28 of 57 studies with positive interventions and 17 of 30 studies with negative or neutral interventions. Farm-management interventions successfully reduced antibiotic use by up to 57%. Manure-oriented interventions reduced antibiotic resistance genes or antibiotic-resistant bacteria in animal waste by up to 99%. This systematic review highlights the challenges of preventing and controlling infections and antimicrobial resistance, even in well resourced agricultural settings. Most of the evidence emerges from studies that focus on the farm itself, rather than targeting agricultural communities or the broader social, economic, and policy environment that could affect their outcomes. WASH and biosecurity interventions could complement each other when addressing antimicrobial resistance in the human, animal, and environmental interface.
Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of interests We declare no competing interests.
Similar articles
-
Clinician-targeted interventions to influence antibiotic prescribing behaviour for acute respiratory infections in primary care: an overview of systematic reviews.Cochrane Database Syst Rev. 2017 Sep 7;9(9):CD012252. doi: 10.1002/14651858.CD012252.pub2. Cochrane Database Syst Rev. 2017. PMID: 28881002 Free PMC article.
-
Interventions to improve antibiotic prescribing practices for hospital inpatients.Cochrane Database Syst Rev. 2017 Feb 9;2(2):CD003543. doi: 10.1002/14651858.CD003543.pub4. Cochrane Database Syst Rev. 2017. PMID: 28178770 Free PMC article.
-
Interventions to improve water, sanitation, and hygiene for preventing soil-transmitted helminth infection.Cochrane Database Syst Rev. 2022 Jun 21;6(6):CD012199. doi: 10.1002/14651858.CD012199.pub2. Cochrane Database Syst Rev. 2022. PMID: 35726112 Free PMC article.
-
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.Cochrane Database Syst Rev. 2021 Apr 19;4(4):CD011535. doi: 10.1002/14651858.CD011535.pub4. Cochrane Database Syst Rev. 2021. Update in: Cochrane Database Syst Rev. 2022 May 23;5:CD011535. doi: 10.1002/14651858.CD011535.pub5. PMID: 33871055 Free PMC article. Updated.
-
Drugs for preventing postoperative nausea and vomiting in adults after general anaesthesia: a network meta-analysis.Cochrane Database Syst Rev. 2020 Oct 19;10(10):CD012859. doi: 10.1002/14651858.CD012859.pub2. Cochrane Database Syst Rev. 2020. PMID: 33075160 Free PMC article.
Cited by
-
Exploring Antibiotic Use in the Community: A Household-Based Survey Using the Drug Bag Method in Rural Burkina Faso.Antibiotics (Basel). 2024 Sep 12;13(9):872. doi: 10.3390/antibiotics13090872. Antibiotics (Basel). 2024. PMID: 39335045 Free PMC article.
-
Explore the Contamination of Antibiotic Resistance Genes (ARGs) and Antibiotic-Resistant Bacteria (ARB) of the Processing Lines at Typical Broiler Slaughterhouse in China.Foods. 2025 Mar 19;14(6):1047. doi: 10.3390/foods14061047. Foods. 2025. PMID: 40232101 Free PMC article.
-
A One Health approach to fight antimicrobial resistance in Uganda: Implementation experience, results, and lessons learned.Biosaf Health. 2024 Jan 17;6(2):125-132. doi: 10.1016/j.bsheal.2024.01.003. eCollection 2024 Apr. Biosaf Health. 2024. PMID: 40078942 Free PMC article.
-
Modelling Interventions to Combat Antibacterial Resistance in East Africa Using Causal Bayesian Networks.Res Sq [Preprint]. 2025 Feb 4:rs.3.rs-5944839. doi: 10.21203/rs.3.rs-5944839/v1. Res Sq. 2025. PMID: 39975933 Free PMC article. Preprint.
-
Antimicrobial Use and Antimicrobial Resistance in Food-Producing Animals: Cross-Sectional Study on Knowledge, Attitudes, and Practices Among Veterinarians and Operators of Establishments in the Republic of Cyprus.Antibiotics (Basel). 2025 Mar 1;14(3):251. doi: 10.3390/antibiotics14030251. Antibiotics (Basel). 2025. PMID: 40149062 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Research Materials