Evaluation and optimization of newly developed blue-laser based technology for detection of malaria infection

Evaluation and optimization of newly developed blue-laser based technology for detection of malaria infection - Evaluation of blue-laser based technology for detection of malaria

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000035126

Enrollment

505

Registered

2018-12-04

Start date

2018-11-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Malaria (Plasmodium falciparum)

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: For suspected clinical cases: 1. Age >= 6 months 2. Patients attending Basse Hospital with suspected malaria 3. Fever (axillary temperature >= 37.5) or history of fever in the last 48 hours 4. Provision of informed consent (parents or guardians for minors) and assent for participants 12-17 years old For the malariometric survey 1. Age >= 6 months 2. People of the general population with unknown malaria status 3. Provision of informed consent and assent for participants 12-17 years 4. Provision of informed consent (parents or guardians for minors) and assent for participants 12-17 years old

Exclusion criteria

Exclusion criteria: 1. Patients with severe malaria 2. Subjects deemed not suitable for the study at the discretion of the investigator

Design outcomes

Primary

Measure	Time frame
Sensitivity and specificity of XN-30 as compared to those of MS and RDT in suspected clinical cases and in randomly selected individuals	—

Countries

Africa

Contacts

Public ContactDaisuke Usuda

Kanazawa Medical University Department of Infectious Diseases

usuda-d@kanazawa-med.ac.jp+220-7124878

Outcome results