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To clarify the pathways between household livestock and child growth by assessing the relationships between consumption of animal-source foods (ASF) and child growth and evaluating the household livestock correlates of child consumption of ASF. We conducted a longitudinal cohort study of anthropometry and 3 d feeding recalls among children <5 years old between June 2014 and May 2015. In addition, we collected data on wealth, livestock ownership and livestock diseases in the same households. We used linear and negative binomial mixed models to evaluate the relationships between household livestock characteristics, reported consumption of ASF and child growth. An 1800-household surveillance catchment area in Western Kenya within the structure of human and animal health surveillance systems. Children (n 874) <5 years old. Among children >6 months old, reported frequency of egg and milk consumption was associated with increased monthly height gain (for each additional report of consumption over 3 d: adjusted β (95 % CI)=0·010 (0·002, 0·019) cm/month and 0·008 (0·004, 0·013) cm/month, respectively). Poultry ownership was associated with higher reported frequency of egg, milk and chicken consumption (adjusted incidence rate ratio (95 % CI)=1·3 (1·2, 1·4), 1·4 (1·1, 1·6) and 1·3 (1·1, 1·4), respectively). Some livestock diseases were associated with lower reported frequency of ASF intake (livestock digestive diseases-adjusted incidence rate ratio (95 % CI)=0·89 (0·78, 1·00)). Child height gain was associated with milk and egg consumption in this cohort. ASF consumption was related to both household livestock ownership and animal health.

Diseases that affect both wild and domestic animals can be particularly difficult to prevent, predict, mitigate, and control. Such multi-host diseases can have devastating economic impacts on domestic animal producers and can present significant challenges to wildlife populations, particularly for populations of conservation concern. Few mathematical models exist that capture the complexities of these multi-host pathogens, yet the development of such models would allow us to estimate and compare the potential effectiveness of management actions for mitigating or suppressing disease in wildlife and/or livestock host populations. We conducted a workshop in March 2014 to identify the challenges associated with developing models of pathogen transmission across the wildlife-livestock interface. The development of mathematical models of pathogen transmission at this interface is hampered by the difficulties associated with describing the host-pathogen systems, including: (1) the identity of wildlife hosts, their distributions, and movement patterns; (2) the pathogen transmission pathways between wildlife and domestic animals; (3) the effects of the disease and concomitant mitigation efforts on wild and domestic animal populations; and (4) barriers to communication between sectors. To promote the development of mathematical models of transmission at this interface, we recommend further integration of modern quantitative techniques and improvement of communication among wildlife biologists, mathematical modelers, veterinary medicine professionals, producers, and other stakeholders concerned with the consequences of pathogen transmission at this important, yet poorly understood, interface.

Vesicular stomatitis (VS) is a vector-borne livestock disease caused by vesicular stomatitis New Jersey virus (VSNJV) or vesicular stomatitis Indiana virus (VSIV). The disease circulates endemically in northern South America, Central America, and Mexico and only occasionally causes outbreaks in the United States. Over the past 20 years, VSNJV outbreaks in the southwestern and Rocky Mountain regions occurred with incursion years followed by virus overwintering and subsequent expansion outbreak years. Regulatory response by animal health officials is deployed to prevent spread from lesioned animals. The 2019 VS incursion was the largest in 40 years, lasting from June to December 2019 with 1144 VS-affected premises in 111 counties in eight states (Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Texas, Utah, and Wyoming) and was VSIV serotype, last isolated in 1998. A subsequent expansion occurred from April to October 2020 with 326 VS-affected premises in 70 counties in eight states (Arizona, Arkansas, Kansas, Missouri, Nebraska, New Mexico, Oklahoma, and Texas). The primary serotype in 2020 was VSIV, but a separate incursion of VSNJV occurred in south Texas. Summary characteristics of the outbreaks are presented along with VSV-vector sampling results and phylogenetic analysis of VSIV isolates providing evidence of virus overwintering.

A reliable livestock disease surveillance system should detect changes in health events whenever they occur. Such a system ought to be evaluated regularly to ensure it provides valuable information in an efficient manner. Thus, a cross-sectional study was carried out in 2017 to assess eight attributes of the livestock disease surveillance systems in Pallisa and Kumi districts, Uganda. A total of 772 livestock farmers were interviewed to evaluate the surveillance system at their level, using a structured questionnaire. Guided interviews were also carried out with 13 key informants who included all veterinary staff at the districts and sub-county administrative units, as well as two officials at the Ministry of Agriculture Animal Industry and Fisheries (MAAIF).The stakeholders interviewed at the three different levels of the livestock diseases surveillance system perceived the system as useful, with ability to detect epidemics and initiate their control if they occurred. The surveillance system was perceived to be considerably representative, sensitive and acceptable, with the ability to generate data of good quality. However, key emerging issues that need improvement were noted. These included poor laboratory diagnostic services, inability to work within the means of available resources, slow data transmission and feedback, and nonspecific surveillance forms leading to poor quality of data collected.Poor communication along the surveillance system chain and inadequate staffing were noted as the major challenges faced by the surveillance system in the two districts.Although perceived to be functional, the livestock surveillance requires improvements for efficient disease detection and control. For better performance, the surveillance system could be strengthened by establishing and equipping laboratories for efficient confirmatory diagnosis of diseases; adjusting to work within the means of available resources; improving the reporting process through quick data transmission and quick feedback and designing precise surveillance form to improve quality of data collected.

We review the global dynamics of livestock disease over the last two decades. Our imperfect ability to detect and report disease hinders assessment of trends, but we suggest that, although endemic diseases continue their historic decline in wealthy countries, poor countries experience static or deteriorating animal health and epidemic diseases show both regression and expansion. At a mesolevel, disease is changing in terms of space and host, which is illustrated by bluetongue, Lyme disease, and West Nile virus, and it is also emerging, as illustrated by highly pathogenic avian influenza and others. Major proximate drivers of change in disease dynamics include ecosystem change, ecosystem incursion, and movements of people and animals; underlying these are demographic change and an increasing demand for livestock products. We identify three trajectories of global disease dynamics: (i) the worried well in developed countries (demanding less risk while broadening the circle of moral concern), (ii) the intensifying and market-orientated systems of many developing countries, where highly complex disease patterns create hot spots for disease shifts, and (iii) the neglected cold spots in poor countries, where rapid change in disease dynamics is less likely but smallholders and pastoralists continue to struggle with largely preventable and curable livestock diseases.

MicroRNAs (miRNAs) are small endogenous RNAs that regulate gene expression post-transcriptionally by targeting either the 3′ untranslated or coding regions of genes. They have been reported to play key roles in a wide range of biological processes. The recent remarkable developments of transcriptomics technologies, especially next-generation sequencing technologies and advanced bioinformatics tools, allow more in-depth exploration of messenger RNAs (mRNAs) and non-coding RNAs (ncRNAs), including miRNAs. These technologies have offered great opportunities for a deeper exploration of miRNA involvement in farm animal diseases, as well as livestock productivity and welfare. In this review, we provide an overview of the current knowledge of miRNA roles in major farm animal diseases with a particular focus on diseases of economic importance. In addition, we discuss the steps and future perspectives of using miRNAs as biomarkers and molecular therapy for livestock disease management as well as the challenges and opportunities for understanding the regulatory mechanisms of miRNAs related to disease pathogenesis.

African animal trypanosomiasis (AAT) a parasitic disease of livestock in sub-Saharan Africa causing tremendous loses. Sub-Saharan continental estimation of mean prevalence in both large and small domestic animals, risk factors, tsetse and non-tsetse prevalence and drug resistance is lacking. A review and meta-analysis was done to better comprehend changes in AAT prevalence and drug resistance. Publish/Perish software was used to search and extract peer-reviewed articles in Google scholar, PubMed and CrossRef. In addition, ResearchGate and African Journals Online (AJOL) were used. Screening and selection of articles from 2000–2021 was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Articles 304 were retrieved; on domestic animals 192, tsetse and non-tsetse vectors 44, risk factors 49 and trypanocidal drug resistance 30. Prevalence varied by, host animals in different countries, diagnostic methods and species of Trypanosoma. Cattle had the highest prevalence with Ethiopia and Nigeria leading, T. congolense (11.80–13.40%) and T. vivax (10.50–18.80%) being detected most. This was followed by camels and pigs. Common diagnostic method used was buffy coat microscopy. However; polymerase chain reaction (PCR), CATT and ELISA had higher detection rates. G. pallidipes caused most infections in Eastern regions while G. palpalis followed by G. mortisans in Western Africa. Eastern Africa reported more non-tsetse biting flies with Stomoxys leading. Common risk factors were, body conditions, breed type, age, sex and seasons. Ethiopia and Nigeria had the highest trypanocidal resistance 30.00–35.00% and highest AAT prevalence. Isometamidium and diminazene showed more resistance with T. congolense being most resistant species 11.00–83.00%.

Introduction Livestock production is a key livelihood source for many people in developing countries. Poor control of livestock diseases hamper livestock productivity, threatening farmers’ wellbeing and food security. This study estimates the effect of livestock mortalities attributable to disease on the wellbeing of livestock farmers. Methods Overall, 350 ruminant livestock farmers were randomly selected from three districts located in the north, middle and southern belts of Ghana. Mixed-effect linear regression models were used to estimate the relationship between animal health and farmer wellbeing. Farmer wellbeing was assessed using the WHOQOL-BREF tool, as the mean quality-of-life in four domains (physical, psychological, social, and environmental). Animal health was assessed as annual livestock mortalities to diseases adjusted for herd size, and standardized in tropical livestock units to account for different ruminant livestock species. We adjusted for the potential confounding effect of farmers’ age, sex, educational attainment, farmland size, socio-economic status, perception of disease risk to herd, satisfaction with health, previous experience of disease outbreaks in herds, and social support availability by including these as fixed effects, and community as random effects, in a pre-specified model. Results Our results showed that farmers had a median score of 65.5 out of 100 (IQR: 56.6 to 73.2) on the wellbeing scale. The farmers’ reported on average (median) 10% (IQR: 0 to 23) annual herd mortalities to diseases. There was a significantly negative relationship between increasing level of animal disease-induced mortality in herds and farmers’ wellbeing. Specifically, our model predicted an expected difference in farmers’ wellbeing score of 7.9 (95%CI 1.50 to 14.39) between a farmer without any herd mortalities to diseases compared to a (hypothetical) farmer with 100% of herd mortalities caused by diseases in a farming year. Thus, there is a reduction of approximately 0.8 wellbeing points of farmers, for the average of 10% disease-induced herd mortalities experienced. Conclusions Disease-induced livestock mortalities have a significant negative effect on farmers’ wellbeing, particularly in the physical and psychological domains. This suggests that veterinary service policies addressing disease risks in livestock, could contribute to improving the wellbeing of livestock dependent populations, and public food security.

Foot-and-mouth disease (FMD) is a major disease of livestock in India and causes huge economic losses. The formal FMD control program started in 2003–04 in selected districts and was gradually expanded. The present study provides a descriptive review of the FMD outbreaks, prevalent serotypes, and genetic and antigenic features of the FMD virus (FMDV) that circulated in the country between 2011 and 2020. FMD outbreaks were regularly reported in cloven-hoofed domestic livestock and wildlife, with three serotypes including O, A, and Asia1. During the study period, a total of 2226 FMD outbreaks were documented and serotypes confirmed. FMDV serotype O dominated the outbreak scenario, accounting for about 92% of all outbreaks, followed by Asia1 (5% of all outbreaks) and A (3% of all outbreaks). Two major epidemics of FMD on an unprecedented scale during the years 2013 and 2018 by serotype O were recorded. The spatial distribution of FMD was characterized by a larger number of outbreaks in the southern region of the country. In an annual-scale analysis, 2020 was the year with the lowest outbreaks, and 2013 was the year with the highest. The month-scale analysis showed that outbreaks were reported throughout the year, with the highest numbers between October and March. The emergence of three major lineages (O/ME-SA/Ind2001d, O/ME-SA/Ind2001e, and O/ME-SA/Ind2018) of serotype O was observed during the period. In the cases of serotype A and Asia1, the appearance of at least one novel lineage/genetic group, including A/G-18/non-deletion/2019 and Asia1/Group-IX, was documented. While serotype A showed the advent of antigenic variants, serotypes O and Asia1 did not show any antigenic diversity. It was noticed during the course of an outbreak that animal movement contributes significantly to disease transmission. Except for 2018, when numerous FMD outbreaks were recorded, the number of annual outbreaks reported after 2016 has been lower than in the first half of the decade, probably due to mass vaccination and COVID-19 pandemic-linked movement restrictions. Even during outbreaks, disease symptoms in ruminant populations, including cattle, were found to be less severe. Regular six-monthly immunization certainly has a positive impact on the reduction of disease burden and should be followed without fail and delay, along with intensive disease surveillance.

Introduction Sustainable livestock production remains crucial for attainment of food security globally and for safeguarding the livelihoods of many households in low- and –middle income countries. However, the high prevalence of infectious livestock diseases, coupled with inadequate provision and adoption of effective control measures, leads to reduced livestock productivity, increased animal mortalities, and emergence of antimicrobial resistant pathogens. This study sought to assess the management strategies employed by farmers for priority diseases affecting their animals and the utilization and performance of veterinary services. Methods We conducted the study in three districts, namely, Mion, Pru East, and Kwahu Afram Plains South Districts, which represent the main livestock production belts in Ghana. We used questionnaires in surveys, to collect pertinent data from 350 ruminant livestock farmers and 13 professional veterinary officers (VOs) in the study districts. Additionally, we conducted seven focus group discussions (FGDs) with 65 livestock farmers in the study districts. The survey data was analyzed, and we describe the distribution of the priority livestock diseases, the disease management strategies employed, and the performance of veterinary services in Ghana. We also analyzed the raw FGD transcript texts deductively based on the study objectives. To validate findings across the different datasets, we used triangulation. Results Almost all the farmers (98%) reared small ruminants, with about 25% also rearing cattle. The main priority livestock diseases identified includes pestes-des-petits-ruminants and mange infection in sheep and goats, as well as contagious bovine pleuropneumonia and foot-and-mouth-disease in cattle. We found that majority (82%) of the farmers relied on treatment, while only 20% opted for vaccination services. Additionally, the veterinary system in Ghana did not adequately regulate the antimicrobial medications employed by farmers to manage diseases. Thus, in most of the cases, the medicines applied by farmers were not useful for the target diseases. Although our findings show the farmers perceived VOs to perform highly compared to informal providers on most of the attributes evaluated including medicine availability and quality, treatment effectiveness, advisory services, service affordability, and competence, only 33% utilized VOs services. The majority of the farmers (51%) used the services of informal providers, who were better in proximity and popularity with farmers. Conclusions The livestock sector in Ghana faces a substantial challenge due primarily to vaccine-preventable diseases. Even though VOs demonstrated superior performance on key veterinary service performance indicators, their services are underutilized by livestock farmers. Additionally, the absence of regulatory oversight by the veterinary system over antimicrobials utilized in animal production contributes to their misapplication by livestock farmers, posing a considerable risk to both public health and food security. It is thus imperative to introduce new initiatives that enhance the uptake of animal vaccines and better antimicrobial stewardship to ensure sustainable livestock production.