ZIFCO - Integrated DZIF Infection Cohort within the German National Cohort

ZIFCO - Integrated DZIF Infection Cohort within the German National Cohort - ZIFCO

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00021077

Enrollment

1300

Registered

2020-03-16

Start date

2019-10-18

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Respiratory, gastrointestinal, urinary and genital infectious diseases.

Interventions

Group 1: ZIFCO is a cohort study for the detection of incident infectious diseases. A sample of the German National Cohort is monitored over a longer period of time using an ehealth tool (PIA- prospec

Eligibility

Sex/Gender

All

Age

20 Years to 72 Years

Inclusion criteria

Inclusion criteria: - Participation at the German National Cohort (GNC) - Consent to L3 module of the GNC - The person is german speaking - The person is willing to use a smartphone, tablet or computer with internet access and provides his or her e-mail address for contacting purposes

Exclusion criteria

Exclusion criteria: - Not all inclusion criteria are met.

Design outcomes

Primary

Measure	Time frame
- Identification of risk factors/predictors for frequent, transient infectious diseases - Determination of the relationship between infectious diseases and possible incidental secondary diseases such as cardiovascular, metabolic or neurodegenerative diseases	—

Secondary

Measure	Time frame
- Identification of associations between preventive factors / risk factors / predictors such as sport or nutrition and characteristics of the immune system - Evaluation of usability, user acceptance and compliance with the app, including self-sampling, and determination of associations between predictors of technology readiness (based on the Technology Readiness Model of Parasuraman and Colby 2014) and user behavior	—

Measure

Time frame

- Identification of associations between preventive factors / risk factors / predictors such as sport or nutrition and characteristics of the immune system - Evaluation of usability, user acceptance and compliance with the app, including self-sampling, and determination of associations between predictors of technology readiness (based on the Technology Readiness Model of Parasuraman and Colby 2014) and user behavior

—

Countries

Germany

Contacts

Public ContactSabrina Sistig

Studienzentrum der NAKO Gesundheitsstudie

gesundheitsstudie@helmholtz-hzi.de0511-5350-8500

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026