Dataset: 11.1K articles from the COVID-19 Open Research Dataset (PMC Open Access subset)
All articles are made available under a Creative Commons or similar license. Specific licensing information for individual articles can be found in the PMC source and CORD-19 metadata
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Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

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Results for Query ‹ Mud fever risk

The association between temperature, rainfall and humidity with common climate-sensitive infectious diseases in Bangladesh – Diseases and relationship with average rainfall

The association between temperature, rainfall and humidity with common climate-sensitive infectious diseases in Bangladesh – Diseases and relationship with average humidity

Acute Uncomplicated Febrile Illness in Children Aged 2-59 months in Zanzibar – Aetiologies, Antibiotic Treatment and Outcome – Severe disease

Acute Uncomplicated Febrile Illness in Children Aged 2-59 months in Zanzibar – Aetiologies, Antibiotic Treatment and Outcome – Antibiotic prescriptions and infections requiring antibiotics

Serosurvey of Coxiella burnetii (Q fever) in Dromedary Camels (Camelus dromedarius) in Laikipia County, Kenya – Results

Examining the relationship between infectious diseases and flooding in Europe – Water-borne

Serosurvey of Coxiella burnetii (Q fever) in Dromedary Camels (Camelus dromedarius) in Laikipia County, Kenya – Ethical approval

Profile of resistance to IVIG treatment in patients with Kawasaki disease and concomitant infection – Coronary outcome

Cross-sectional survey of selected enteric viruses in Polish turkey flocks between 2008 and 2011 – Ethics statement

Cross-sectional survey of selected enteric viruses in Polish turkey flocks between 2008 and 2011 – Age and health status of turkeys

Causes of fever in Gabonese children: a cross-sectional hospital-based study – More frequent infections and their characteristics

Profile of resistance to IVIG treatment in patients with Kawasaki disease and concomitant infection – Response to IVIG treatment

Examining the relationship between infectious diseases and flooding in Europe – Exclusion criteria

Travel-Related Typhoid Fever: Narrative Review of the Scientific Literature – 2.1. Population at Higher Risk of Acquiring Typhoid Fever

Causes of fever in Gabonese children: a cross-sectional hospital-based study – Children with danger signs

Human temperatures for syndromic surveillance in the emergency department: data from the autumn wave of the 2009 swine flu (H1N1) pandemic and a seasonal influenza outbreak – Temperature distribution analysis

Virological and clinical characterizations of respiratory infections in hospitalized children – Demographical characteristics

Human temperatures for syndromic surveillance in the emergency department: data from the autumn wave of the 2009 swine flu (H1N1) pandemic and a seasonal influenza outbreak – Background

Association of the shuffling of Streptococcus pyogenes clones and the fluctuation of scarlet fever cases between 2000 and 2006 in central Taiwan – Background

Fever screening during the influenza (H1N1-2009) pandemic at Narita International Airport, Japan – Fever among confirmed cases (n = 16)

Gargling for Oral Hygiene and the Development of Fever in Childhood: A Population Study in Japan – INTRODUCTION

Characteristics of fever and response to antipyretic therapy in military personnel with adenovirus-positive community-acquired pneumonia – Comparisons of fever and response to antipyretics

Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study – Introduction

Causative agents and epidemiology of diarrhea in Korean native calves – Prevalence of causative agents in diarrheal calves

Characteristics of fever and response to antipyretic therapy in military personnel with adenovirus-positive community-acquired pneumonia – Laboratory and radiological findings between the Adv and non-Adv groups