Results 51 to 60 of about 1,102 (129)

Defining Stage-Specific Activity of Potent New Inhibitors of Cryptosporidium parvum Growth In Vitro

open access: yesmBio, 2020
Cryptosporidium parvum and Cryptosporidium hominis have emerged as major enteric pathogens of infants in the developing world, in addition to their known importance in immunocompromised adults.
Lisa J. Funkhouser-Jones   +2 more
doaj   +1 more source

Detection, prevalence, and risk factors associated with Cryptosporidium infection among cattle in Kwara State, Nigeria

open access: yesNotulae Scientia Biologicae, 2022
Cryptosporidium species cause high morbidity and sometimes high mortality rates among cattle, resulting in serious economic threats. This present study is aimed at investigating the presence, prevalence, distribution, and risk factors associated with ...
Shola D. OLA-FADUNSIN   +2 more
doaj   +1 more source

From Diagnostic Challenge to Clinical Success: Rapid Multiplex PCR Identification of Cryptosporidium in HIV‐Associated Refractory Diarrhea: A Case Report

open access: yesClinical Case Reports, Volume 14, Issue 3, March 2026.
ABSTRACT Cryptosporidiosis remains a challenge in people with HIV despite its decreased incidence in developed countries. We report a case of severe diarrhea in a person with HIV where Gram stain findings prioritized cryptosporidium in the differential diagnosis.
Yudai Kono   +16 more
wiley   +1 more source

Family outbreak of cryptosporidiosis in Serbia: Case report [PDF]

open access: yesSrpski Arhiv za Celokupno Lekarstvo, 2012
Introduction. Cryptosporidiosis is an acute infectious parasitic disease of the gastrointestinal tract, considered as zoonosis underestimated in immunocompetent population.
Gvozdenović Eleonora   +4 more
doaj   +1 more source

Cryptosporidiosis-an overview

open access: yesJournal of Biomedical Research, 2012
Apicomplexan protozoan parasites of the genus Cryptosporidium infect the gastrointestinal tract and lungs of a wide variety of animals, including humans. The majority of human infections are due to either Cryptosporidium hominis (C. hominis) and/or Cryptosporidium parvum (C. parvum).
Leitch, Gordon J, He, Qing
openaire   +3 more sources

Quantitative microbial risk assessment with microbial source tracking for enteric pathogens in southwest Wisconsin private wells

open access: yesJournal of Environmental Quality, Volume 55, Issue 2, March/April 2026.
Abstract Private wells supply drinking water for many households, and their contamination by fecal microbes presents a risk of acute gastrointestinal illness (AGI). Risk is thought to vary by contaminating fecal source, but specific associations with fecal source are unknown for most private wells in the United States. This study characterizes AGI risk
Tucker Burch   +4 more
wiley   +1 more source

Impacts of rodents in piggeries in Australia – review and pilot impact study

open access: yesPest Management Science, Volume 82, Issue 3, Page 2177-2189, March 2026.
Rodent impacts in Australian piggeries are under‐researched, with limited data on economic losses and control costs. A review and pilot study found average losses of AUD$100 000 annually. Key concerns include disease, damage, and control expenses.
Peter R. Brown, Steve Henry
wiley   +1 more source

Late diagnosis of paediatric HIV infection in high‐income countries: Lessons from the HIV Perinatal Virtual Clinic

open access: yesHIV Medicine, Volume 27, Issue 3, Page 477-484, March 2026.
Abstract Introduction Timely diagnosis of HIV in children remains a challenge in all settings including low‐prevalence, high‐income countries (HIC). We aimed to characterize the prevalence of late diagnosis, and prior missed diagnostic opportunities among new presentations of paediatric HIV in HIC referred to an international Perinatal Virtual Clinic ...
Carolina Curto   +8 more
wiley   +1 more source

Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods

open access: yesJournal of Clinical Laboratory Analysis, Volume 40, Issue 3, February 2026.
This study applies machine learning methods, specifically Random Forest and Bagged CART, to classify Cryptosporidium spp. infections among children and identify key risk factors. The Bagged CART model demonstrated superior sensitivity and predictive performance, highlighting household crowding and water source as the most influential determinants of ...
Türkan Mutlu Yar   +2 more
wiley   +1 more source

Prevalence of Cryptosporidium infection among children attending Maryam Abacha Women and Children Hospital, Sokoto State, Nigeria

open access: yesUMYU Journal of Microbiology Research
Cryptosporidium infection is ranked as the second most common cause of diarrheal disease and fatalities among children in developing nations. Nonetheless, due to the fact that many healthcare providers do not consistently request Cryptosporidium ...
Bunza, N. M.   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy