Publications by authors named "Nicholas Ngwili"

Article Synopsis
  • One Health research and interventions are significantly impacted by gender dynamics, affecting men and women differently across the domains of human, animal, and environmental health.
  • Women and girls are particularly prone to gender-based disadvantages, leading to compounded inequities when these issues occur simultaneously in multiple health domains.
  • A proposed framework aims to incorporate gender considerations into One Health research and interventions, especially in Low-and Middle-Income Countries, by encouraging research questions that address both bioscience and gender, ultimately promoting more equitable and effective health solutions.
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Introduction: This study characterizes the pork value chain in Agago, Kitgum, Lamwo, and Pader districts of Northern Uganda and analyzes its implications on the transmission and control of infections.

Methodology: Data were collected through focus group discussions (FGDs) with farmers and pig and pork traders, key informant interviews (KIIs) with local government officials and consumers, and district-level multi-stakeholder mini workshops organized in the study area. The value chain actors identified include input and services providers, pig farmers, live pig traders, pork traders, and consumers.

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Objectives: The lack of subnational mapping of the zoonotic cestode Taenia solium in endemic countries presents a major challenge to achieving intensified T. solium control milestones, as outlined in the "World Health Organization neglected tropical disease roadmap by 2030". We conducted a mapping study in Uganda, considered to be endemic, to identify subnational high-risk areas.

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Antimicrobial resistance is a complex topic requiring interdisciplinary solutions embedded in One Health thinking. Currently, many surveys are underway in low- and middle-income countries to study how antimicrobial use in the livestock sector is driving resistance. In a survey, the respondents must understand and answer the questions correctly to produce accurate and valuable results.

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is a zoonotic parasite causing three diseases: Taeniasis and cysticercosis in humans and porcine cysticercosis in pigs. Although biomedically, the transmission of the parasite can be easily interrupted at six points along the life cycle, the contextual factors that may influence the adoption of these control strategies in Uganda remain unclear. This study assessed the stakeholders' knowledge, attitudes, and perceptions relating to the six control strategies for infections in Kamuli and Hoima districts, Uganda.

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A study was carried out in Kamuli and Hoima districts in Eastern and Western regions of Uganda to determine the Taenia solium porcine cysticercosis (PCC) and gastrointestinal (GI) parasites co-infection status in pigs. One hundred sixty-one households were selected randomly and visited between November and December 2019. A household questionnaire was administered, and faecal and blood samples were collected from at least one pig older than 3 months per household.

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Background: Taenia solium (T. solium), is a zoonotic helminth causing three diseases namely; taeniasis (in humans), neurocysticercosis (NCC, in humans) and porcine cysticercosis (PCC, in pigs) and is one of the major foodborne diseases by burden. The success or failure of control options against this parasite in terms of reduced prevalence or incidence of the diseases may be attributed to the contextual factors which underpin the design, implementation, and evaluation of control programmes.

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Article Synopsis
  • * Researchers analyzed data from veterinary pharmacies and examined 603 milk samples from various livestock species, finding high rates of resistance to common antibiotics, especially tetracycline and ampicillin.
  • * The findings suggest that higher AMU correlates with increased occurrence of multidrug-resistant (MDR) strains, which raises concerns about public health risks associated with consuming contaminated raw milk in northern Kenya.
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Article Synopsis
  • Brucellosis is a significant zoonotic disease in Kenya, and identifying its presence in milk can help assess the risk of human exposure.
  • A study involved 175 households in pastoral areas of Kenya, collecting milk samples from both households and lactating animals, using methods like qPCR and ELISA to identify Brucella bacteria and antibodies.
  • Findings revealed a prevalence of 2.4% in individual animal samples and 3.0% in pooled samples, predominantly in goats, highlighting a public health risk and the need for intervention strategies in affected areas.
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We designed and piloted a livestock identification and traceability system (LITS) along the Northern Tanzania-Narok-Nairobi beef value chain. Animals were randomly selected and identified at the primary markets using uniquely coded ear tags. Data on identification, ownership, source (village), and the site of recruitment (primary market) were collected and posted to an online database.

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