Results 181 to 190 of about 317,688 (249)

Coronavirus disease 2019 (COVID-19) vaccine acceptability in Ghana: An urban-based population study. [PDF]

PLoS One
Taylor-Abdulai HB, Dzantor EK, Mensah NK, Asumah MN, Ocansey S, Arhin SK, Barnes P, Opoku VO, Mankir ZJ, Famieh SA, Botchey CPK.   +10 more
europepmc   +1 more source

Impacts of ICT diffusion, foreign direct investment, trade openness, and globalization on growth in Sub‐Saharan Africa

Natural Resources Forum, EarlyView.
Abstract Over the past three decades, there has been a significant increase in information and communication technology (ICT) investments around the world, resulting in a rise in the use of modern ICT packages. Sub‐Saharan African (SSA) countries, however, face different challenges.
Ijeoma Christina Onuogu, Abubakar Hassan, Seyi Saint Akadiri, Abdulwahab Ahmad Bello, Joshua Sunday Riti   +4 more
wiley   +1 more source

DOCK2 Deficiency and GATA2 Haploinsufficiency Can Underlie Critical Coronavirus Disease 2019 (COVID-19) Pneumonia. [PDF]

J Clin Immunol
Biglari S, Youssefian L, Tabatabaiefar MA, Saeidian AH, Abtahi-Naeini B, Khorram E, Sherkat R, Moghaddam AS, Mohaghegh F, Rahimi M, Rahimi H, Babaei S, Shahrooei M, Mozafari N, Zaresharifi S, Vahidnezhad F, Homayouni V, Tsoi LC, Gudjonsson JE, Hakonarson H, Casanova JL, Jouanguy E, Béziat V, Zhang Q, Cobat A, Vahidnezhad H.   +25 more
europepmc   +1 more source

Text mining for case report articles on “peritoneal dialysis” from PubMed database

Therapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 459-470, June 2025.
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima, Kenji Tsuji, Hiroyuki Nakanoh, Naruhiko Uchida, Soichiro Haraguchi, Shinji Kitamura, Jun Wada   +6 more
wiley   +1 more source

Real-World Treatment Outcomes in the First and Subsequent Coronavirus Disease 2019 (COVID-19) Hospital Clusters. [PDF]

Cureus
Ohsaki Y, Sasaki T, Umekage Y, Yanada H, Ishikawa M, Yoshida R.   +5 more
europepmc   +1 more source

Screening, characterising and assessing malnutrition in the hospital setting: A large‐scale point prevalence survey

Nutrition &Dietetics, EarlyView.
Abstract Aim To assess the prevalence of undernutrition, overnutrition, and simultaneous malnutrition in a hospital setting, as well as undernutrition risk and dietetic intervention rates. Methods A point prevalence survey was conducted annually from 2016 to 2024 (excluding 2020–2021 due to Coronavirus Disease 2019) across three metropolitan health ...
Kate Connell, Andrea Elliott, Emma McShane, Andrea Bramley, Lauren Hanna, Kate Furness   +5 more
wiley   +1 more source

Differences in chest imaging between Omicron and non-Omicron coronavirus disease 2019 (COVID-19) patients: a systematic review and meta-analysis. [PDF]

BMC Infect Dis
Han Y, Wang Z, Li X, Zhong Z.
europepmc   +1 more source

Fungal antigenemia in patients with severe Coronavirus disease 2019 (COVID-19): The facts and challenges

, 2020
Yake Lei, Yinggai Song, Yilin Shu, Youyun Zhao, Xixiang Huo, He Wang, Yingchun Zeng, Yu Xiao, Xiang Li, Guojun Ye, Bin Fang, Shi Han, Ruoyu Li, Linlin Liu   +13 more
openalex   +1 more source

The Business of Pandemic Intelligence: Implications for Global Health Governance

Global Policy, EarlyView.
ABSTRACT During the Covid‐19 pandemic, tech startups emerged as important providers of pandemic intelligence, leveraging diverse data sources and advanced computational methods to advise public policy on disease spread and response strategies. This article presents a case study of two tech startups, Airfinity and BlueDot, situating their rise within ...
Katerini Tagmatarchi Storeng
wiley   +1 more source

Coronavirus Disease 2019 (COVID-19) and pelvic floor signs and symptoms: a scoping review of the literature. [PDF]

Arch Physiother
Di Tommaso V, Rossi M, Gianola S, Castellini G, Bargeri S, Rossettini G, Bortolami A.   +6 more
europepmc   +1 more source