Larisa Rathjens
Biographic Data
| ID | 7905822 |
|---|---|
| NAME | Larisa Rathjens |
| GIVEN NAMES | Larisa |
| FAMILY NAME | Rathjens |
| SIGNATURE | RATHJENS L |
| AFFILIATIONS | Witten/Herdecke University |
| ORCID | 0000-0002-6229-3262 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Children’s Symptoms with a Febrile Illness and a Positive or Negative Test of Sars-CoV-2 during the Omicron Wave
Febrile infections are common in childhood. Children can be infected with SARS-CoV-2, but their course is milder than in adults. So far, a comparison between febrile infections with a positive or negative Corona test with the Omicron variant is missing. The data used are from the FeverApp registry, which collects parent-reported data on febrile infections in children and informs about fever management. A comparison of symptomatic differences betw…
Reliability of Data Collected via Ecological Momentary Assessment on the Example of FeverApp Registry
The FeverApp registry is an ambulant ecological momentary assessment (EMA) model registry focusing on research of fever in children. Verification of EMA reliability is a challenge, due to absence of other source data. To ensure the reliability of EMA data, 973 families were invited to reassess their documentation in a survey. The survey contained questions (a) regarding the number of children, (b) genuineness of entries, (c) completeness of submi…
Parental Confidence in Relation to Antipyretic Use, Warning Signs, Symptoms and Well-Being in Fever Management—Results from an App-Based Registry
Parents' confidence regarding their children's fever is a key factor in its management and there is still unnecessary anxiety and associated antipyretic overuse. The FeverApp application collects naturalistic real-time data on febrile infections and educates parents on fever management. Logistic regression examined the associations between (1) parental confidence and (2) antipyretics use with fever relevant parameters. First entry data of 3721 ch…
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Parental Confidence in Relation to Antipyretic Use, Warning Signs, Symptoms and Well-Being in Fever Management—Results from an App-Based Registry
Parents' confidence regarding their children's fever is a key factor in its management and there is still unnecessary anxiety and associated antipyretic overuse. The FeverApp application collects naturalistic real-time data on febrile infections and educates parents on fever management. Logistic regression examined the associations between (1) parental confidence and (2) antipyretics use with fever relevant parameters. First entry data of 3721 ch…
Children’s Symptoms with a Febrile Illness and a Positive or Negative Test of Sars-CoV-2 during the Omicron Wave
Febrile infections are common in childhood. Children can be infected with SARS-CoV-2, but their course is milder than in adults. So far, a comparison between febrile infections with a positive or negative Corona test with the Omicron variant is missing. The data used are from the FeverApp registry, which collects parent-reported data on febrile infections in children and informs about fever management. A comparison of symptomatic differences betw…
Reliability of Data Collected via Ecological Momentary Assessment on the Example of FeverApp Registry
The FeverApp registry is an ambulant ecological momentary assessment (EMA) model registry focusing on research of fever in children. Verification of EMA reliability is a challenge, due to absence of other source data. To ensure the reliability of EMA data, 973 families were invited to reassess their documentation in a survey. The survey contained questions (a) regarding the number of children, (b) genuineness of entries, (c) completeness of submi…
Medicine (3 works) · Internal Medicine (2 works) · Pediatrics (2 works) · Analgesic (1 work) · Anesthesia (1 work) · Antipyretic (1 work) · Asthma and respiratory diseases (1 work) · Climate Change and Health Impacts (1 work) · Computer Science (1 work) · Confidence interval (1 work)