Publications by authors named "Daniel Nthiwa"

Article Synopsis
  • CCHF is a tick-borne disease caused by the CCHF virus, affecting various hosts like mammals and birds, with a study conducted in Isiolo County, Kenya, assessing its prevalence across humans, livestock, and wildlife.
  • The study found CCHFV seroprevalences of 7.2% in humans, significant rates in livestock (e.g., 89.7% in camels), and an average of 41.0% in wild animals, indicating widespread exposure among different species.
  • Human exposure was linked to being male, over 30 years old, and part of a seropositive household, while livestock exposure was affected by factors like age and environmental conditions, though wild animal risk factors were not statistically
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Introduction: Understanding multi-pathogen infections/exposures in livestock is critical to inform prevention and control measures against infectious diseases. We investigated the co-exposure of foot-and-mouth disease virus (FMDV), spp., spp.

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In Sub-Saharan Africa (SSA), effective brucellosis control is limited, in part, by the lack of long-term commitments by governments to control the disease and the absence of reliable national human and livestock population-based data to inform policies. Therefore, we conducted a study to establish the national prevalence and develop a risk map for Brucella spp. in cattle to contribute to plans to eliminate the disease in Kenya by the year 2040.

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Background: Brucellosis is a neglected zoonotic disease that affects both animals and humans, causing debilitating illness in humans and socio-economic losses in livestock-keeping households globally. The disease is endemic in many developing countries, including Kenya, but measures to prevent and control the disease are often inadequate among high-risk populations. This study aimed to investigate the human and livestock seroprevalence of brucellosis and associated risk factors of Brucella spp.

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Brucella spp. and Rift Valley fever virus (RVFV) are classified as priority zoonotic agents in Kenya, based on their public health and socioeconomic impact on the country. Data on the pathogen-specific and co-exposure levels is scarce due to limited active surveillance.

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Article Synopsis
  • The study investigates the transmission dynamics of Rift Valley fever (RVF) in northern Kenya, focusing on human and livestock seroprevalence during non-epidemic years.
  • A total of 676 human and 1,864 livestock samples were tested, revealing RVF virus exposure rates of 28.4% in humans and 21.7% in livestock, with a very low detection of acute infection (IgM) in livestock.
  • Key findings highlight that factors like age and involvement in livestock slaughter increase RVF exposure, while environmental factors like rainfall and elevation also influence seropositivity, indicating a possible ongoing endemic cycle.
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Background: Co-infection, especially with pathogens of dissimilar genetic makeup, may result in a more devastating impact on the host. Investigations on co-infection with neglected zoonotic pathogens in wildlife are necessary to inform appropriate prevention and control strategies to reduce disease burden in wildlife and the potential transmission of these pathogens between wildlife, livestock and humans. This study assessed co-exposure of various Kenyan wildflife species with Brucella spp, Coxiella burnetii and Rift Valley fever virus (RVFV).

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Background: Coxiella burnetii is a widely distributed pathogen, but data on its epidemiology in livestock, and human populations remain scanty, especially in developing countries such as Kenya. We used the One Health approach to estimate the seroprevalance of C. burnetii in cattle, sheep, goats and human populations in Tana River county, and in humans in Garissa county, Kenya.

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Zoonotic diseases, such as brucellosis, Q fever and Rift Valley fever (RVF) caused by Brucella spp., Coxiella burnetii and RVF virus, respectively, can have devastating effects on human, livestock, and wildlife health and cause economic hardship due to morbidity and mortality in livestock. Coinfection with multiple pathogens can lead to more severe disease outcomes and altered transmission dynamics.

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Article Synopsis
  • A longitudinal study in Isiolo County, Kenya, investigated Brucella infection in camels, cattle, sheep, and goats by initially screening 726 animals and identifying 30 camels, 31 cattle, 22 sheep, and 32 goats for follow-up.
  • Over 12 months, these animals were tested for anti-Brucella antibodies, with seroconversion confirmed through iELISA and follow-up testing performed using real-time PCR for species identification.
  • The overall incidence rate of Brucella infection was 0.024 cases per animal-months, with camels having the highest rate at 0.053, while B. abortus was found to be more prevalent than B. melitensis in the
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Brucellosis, caused by several species of the genus Brucella, is a zoonotic disease that affects humans and animal species worldwide. Information on the Brucella species circulating in different hosts in Kenya is largely unknown, thus limiting the adoption of targeted control strategies. This study was conducted in multi-host livestock populations in Kenya to detect the circulating Brucella species and assess evidence of host-pathogen associations.

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Article Synopsis
  • Camels are becoming preferred livestock for pastoralists in Kenya due to climate change effects, leading to increased research on their involvement in zoonotic diseases.
  • A study analyzed 120 camel serum samples, finding high seropositivity rates for pathogens like Brucella, Coxiella burnetii, and Rift Valley fever, indicating these diseases are common in camel populations.
  • Understanding the role of camels in transmitting these diseases is crucial for public health, as it can help design better surveillance and prevention strategies for both livestock and human health.
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A cross-sectional study was carried out to determine foot-and-mouth disease (FMD) seroprevalence and identify risk factors of exposure among cattle herds raised in three zones with different types of land use and progressively distant from the Maasai Mara National Reserve (MMNR) boundary. We selected five villages purposively; two in zone 1 (area < 20 km from the MMNR), another two in zone 2 (area between 20-40 km away from the MMNR) and one in zone 3 (area >40 km away from the MMNR). A total of 1170 cattle sera were collected from 390 herds in all the zones and tested for antibodies against the non-structural proteins (NSPs) of FMD virus (FMDV) using two 3ABC-based Enzyme-Linked Immunosorbent Assay ELISA kits.

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A cross-sectional study was conducted to determine the seroprevalence of Brucella spp. and Leptospira spp. and risk factors of exposure in cattle in three zones with varying land use types and wildlife-livestock interactions.

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Livestock-wildlife interactions promote the transmission of a wide range of infectious diseases that constraint livestock production. We used a participatory appraisal approach to find out and rank infectious diseases of concern to pastoralists in a zone of intense wildlife-livestock interaction and another zone with limited interactions. Four villages were selected purposively in areas with intensive cattle-wildlife interactions (zone 1), and another two in areas with low to moderate cattle-wildlife interactions (zone 2).

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Objectives: Brucellosis is caused by bacteria from the genus Brucella which infect human and domestic animals as well as wildlife. The Maasai Mara National Reserve has vast populations of wild ruminants such as buffaloes and wildebeest which could contribute to the risk of brucellosis in livestock, and the surrounding pastoralist communities grazing cattle in and around the reserve may be exposed to a higher risk of zoonotic diseases like brucellosis due to the close contact with livestock. In this study, cattle from three villages at varying distance from the reserve, were screened for antibodies against Brucella abortus.

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African Animal Trypanosomiasis (AAT) transmitted cyclically by tsetse fly (Glossina spp.) is a major obstacle to livestock production in the tropical parts of Africa. The objective of this study was to determine the infection rates of trypanosomes in Glossina species in Mtito Andei Division, Makueni County, Kenya.

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