ClinicalTrials.gg
CompletedNCT05567016Updated Jan 29, 2026

CHILD (Child Health and Infection With Low Density) Malaria

An interventional study of Active case detection using molecular testing (ACDm) and Passive case detection using molecular testing (PCDm) in Malaria,Falciparum and Malaria, sponsored by University of California, San Francisco. Completed at 1 site in Tanzania. Open to participants aged 6 Months to 10 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-01-29.

Sponsored by University of California, San Francisco · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
600
Allocation
Randomized
Ages
6 Months to 10 Years
Sex
All
01

Study summary

This trial will assess the long-term health and socioeconomic impact of interventions targeting low-density malaria infection (LMI) among children in Tanzania

Read the detailed description

This is a 3-arm open-label randomized control trial of 600 children aged 6 months to 10 years in Tanzania, where transmission is low and a high proportion of infections are low-density. Standard of care based on passive case detection (PCD) using rapid diagnostic test (control arm) will be compared to two different approaches to detect and treat P. falciparum LMI: active case detection using molecular testing (ACDm) and PCD using molecular testing (PCDm). Aims are:

  1. To assess the impact of standard PCD plus ACDm vs standard PCD on long-term child health
  2. To assess the impact of PCDm vs standard PCD on long-term child health
  3. To evaluate the cost-effectiveness of ACDm and PCDm
02

Conditions studied

  • Malaria,Falciparum
  • Malaria

Keywords

  • malaria
  • child health
  • chronic infection
  • subclinical infection
  • patent infection
  • subpatent infection
  • active case detection
  • passive case detection
  • fever case management
03

In context

Malaria, Falciparum

455 studies on the registry are indexed under Malaria, Falciparum; 37 are open to participants now.

This study's enrollment of 600 is above the median of 126 across 376 interventional studies indexed under Malaria, Falciparum.

Browse Malaria, Falciparum studies →

Lead sponsor

University of California, San Francisco is the lead sponsor of 2,169 studies on the registry; 372 are open to participants now.

Of its 267 completed or terminated interventional studies of FDA-regulated products, 202 (76%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
6 Months to 10 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. 6 months to 10 years of age of age at enrollment
  2. Primary residence in the study area during the study period
  3. Agree to come to study clinic for any illness
  4. Agree to avoid medications outside the study, even herbal medication

Exclusion criteria

Exclusion Criteria:

  1. Another child from household already randomly selected for recruitment
  2. Not able or does not provide
  3. Need for emergency intervention
  4. Known history of chronic illness requiring regular specialty care including diabetes mellitus, cancer, or Stage 3 or 4 /AIDS
  5. to artemether-lumefantrine (AL) including history of allergic reaction, weight under 5 kg
  6. Participation in another active/ongoing intervention trial
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

HIV

The human immunodeficiency virus, which weakens the immune system.

Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
600 participants (actual)

Study arms

  • Experimental
    Active Case Detection using molecular testing (ACDm)

    Per standard of care, children will receive passive case detection (PCD) using rapid diagnostic test (RDT) if they present with fever. Children will receive malaria active case detection (ACD) using RDT and qPCR (quantitative polymerase chain reaction) three times yearly with treatment using artemether-lumefantrine (AL) if RDT or qPCR positive.

    Other: Active case detection using molecular testing (ACDm)

  • Experimental
    Passive Case Detection using molecular testing (PCDm)

    Children who present with fever will receive PCD using RDT and qPCR with treatment using AL if RDT or qPCR positive. Per standard of care, children will not receive malaria ACD.

    Other: Passive case detection using molecular testing (PCDm)

  • Active comparator
    Standard passive case detection (PCD)

    Per standard of care, children will receive PCD using RDT. Per standard of care, children will not receive malaria ACD.

    Other: Control (standard of care)

Interventions

  • OtherActive case detection using molecular testing (ACDm)

    In the ACDm arm, children will receive ACD using RDT and qPCR 3x yearly with treatment using artemether-lumefantrine (AL) if RDT or qPCR positive. With fevers, participants will receive standard PCD using RDT.

  • OtherPassive case detection using molecular testing (PCDm)

    With fevers, participants will receive PCDm, in which qPCR will be done in RDT negatives with treatment using AL if positive.

  • OtherControl (standard of care)

    With fevers, participants will receive standard PCD using RDT with treatment using AL if positive.

06

What researchers measure

Primary outcomes

  1. Incidence of all-cause sick visits

    Number of sick visits to health facility per person time, excluding planned admissions for medical care, elective surgery, and trauma.

    Time frame: 24-30 months from enrollment

Secondary outcomes

  1. Prevalence of anemia

    Proportion of routine Hb measurements that are low (\<11 g/dL) or moderate-severe low (\<8 g/dL)

    Time frame: 24-30 months from enrollment

  2. Prevalence of underweight status

    Prevalence of underweight status will be defined as the percentage of participants with low weight for age z-scores of less than -2. The World Health Organization (WHO) anthropometric indices will be utilized for standards.

    Time frame: 24-30 months from enrollment

  3. Prevalence of stunting

    Prevalence of stunting will be defined as the percentage of participants with low height for age z-scores of less than -2. The World Health Organization (WHO) anthropometric indices will be utilized for standards.

    Time frame: 24-30 months from enrollment

  4. Prevalence of wasting

    Prevalence of wasting will be defined as the percentage of participants with low weight for height z-scores of less than -2. The World Health Organization (WHO) anthropometric indices will be utilized for standards.

    Time frame: 24-30 months from enrollment

  5. Prevalence of malnutrition

    Prevalence of malnutrition will be defined as the percentage of participants with a z-score of -3 to -2 indicating moderate malnutrition or a z-score of less than -3 indicating severe malnutrition in any of the following: weight for age, height for age, or weight for height.

    Time frame: 24-30 months from enrollment

  6. Prevalence of vomiting following administration of study drugs

    Vomiting immediately or within 30minutes following administration of study drugs and measures of non-adherence.

    Time frame: 24-30 months from enrollment

  7. All-cause fever episodes

    Number of fever episodes (reported fever in the past 48hrs and/or axillary temperature of ≥37.5°C) per person time

    Time frame: 24-30 months from enrollment

  8. Incidence of clinical symptoms

    Number of days with overall symptoms reported as moderate (≥3 on a 5-point scale) per person time

    Time frame: 24-30 months from enrollment

  9. Incidence of clinical malaria

    New episodes of positive malaria test (with fever or other clinical symptoms) per person time

    Time frame: 24-30 months from enrollment

  10. Proportion of fever episodes with clinical failure

    Proportion of fever episodes that lead to clinical failure, defined as persistent or worsening symptoms assessed 7 and 28 days after initial evaluation.

    Time frame: 24-30 months from enrollment

  11. Prevalence of parasitemia

    Proportion of routine samples with parasites detected by microscopy or quantitative polymerase chain reaction (qPCR).

    Time frame: 24-30 months from enrollment

  12. Incidence in antibiotics prescribed

    Number of antibiotic regimens prescribed per person time

    Time frame: 24-30 months from enrollment

  13. Cognitive ability among children 0-3.4 years of age on the Global Scales of Early Development (GSED)

    GSED is a validated instrument that measures population-level early childhood development. The tool measures children's early skills and behaviors in four primary domains: motor, cognitive, language, and social-emotional development.Measures will be normalized within our sample to mean 0 and standard deviation 1, with higher scores indicating better test performance.

    Time frame: 24-30 months from enrollment

  14. Cognitive ability among children 3.5-5 years of age on the International Development and Early Learning Assessment (IDELA)

    The IDELA is a validated, global tool that uses direct child assessment to measure early learning and development across 4 core domains (Emergent Literacy, Emergent Numeracy, Motor, Social-emotional). Scores range from 0-100% as a percentage of correct tasks averaged across the 4 domains. Measures will be normalized within our sample to mean 0 and standard deviation 1, with higher scores indicating better test performance.

    Time frame: 24-30 months from enrollment

  15. Cognitive ability among children 6-12 years of age on the East Africa Neurodevelopment Assessment Tool

    The East African Neurodevelopment Assessment Tool is a locally adapted modification of the Kaufman Brief Intelligence Test 2nd Ed. The test assesses 3 core metrics including general intelligence, executive function, literacy skills - in addition to behavioral and emotional development. Measures will be normalized within our sample to mean 0 and standard deviation 1, with higher scores indicating better test performance.

    Time frame: 24-30 months from enrollment

  16. Sustained attention among children 5-8 years of age on the Pencil Tapping Test

    The pencil tapping test is one of the tasks in the Preschool Self-Regulation Assessment (PSRA) and is used to assess inhibitory control in younger children. The child and an assessor have pencils, and child is instructed to tap one/two times(s) depending on what assessor does, with the number of correct responses scored. Measures will be normalized within our sample to mean 0 and standard deviation 1, with higher scores indicating better test performance.

    Time frame: 24-30 months from enrollment

  17. Sustained attention among children 9-12 years of age on the Code Transmission Test, a local adaptation of the Test of Everyday Attention for Children(TEA-Ch)

    Code transmission test is a sub-test of Test of Everyday Attention for Children (TEA-Ch) used for assessment of sustained attention in children. In the test, the child must remember spoken digits, and remember the digit that comes before sequence of numbers. Child is scored on completed and correct answers. Measures will be normalized within our sample to mean 0 and standard deviation 1, with higher scores indicating better test performance.

    Time frame: 24-30 months from enrollment

  18. Incidence of school absenteeism

    The number of days of school absenteeism for any reason including illness.

    Time frame: 24-30 months from enrollment

  19. School performance

    School performance will be defined as the incidence of school advancement to the next grade.

    Time frame: 24-30 months from enrollment

  20. Socioeconomic costs to participant

    Estimated long-term income loss due to impaired early childhood development

    Time frame: 24-30 months from enrollment

  21. Socioeconomic costs to family

    Total caregiver-reported costs of sick visits and transport to sick visits plus estimated loss of income from number of days of caregiver work absenteeism.

    Time frame: 24-30 months from enrollment

  22. Socioeconomic costs to health system

    Estimated costs of testing and treatment for caregiver-reported number of sick visits.

    Time frame: 24-30 months from enrollment

  23. Cost effectiveness

    Cost per outcome averted (e.g., per sick visit averted, per disability adjusted life years (DALYs), and per economic dollar saved, etc.)

    Time frame: 24-30 months from enrollment

  24. Prevalence of systemic inflammation

    Proportion of sick visits with elevated elevated C-reactive pep-tide (CRP)

    Time frame: 24-30 months from enrollment

  25. Proportion with antimalarial antibodies against P.falciparum

    Percentage of patients with antimalarial antibodies

    Time frame: 24-30 months from enrollment

  26. Proportion with biomarkers of inflammation

    Percentage of patients with elevated cytokines

    Time frame: 24-30 months from enrollment

  27. Proportion with general antibody responses to vaccines

    Percentage of patients with vaccine antibodies

    Time frame: 24-30 months from enrollment

  28. Proportion with general antibody responses to common pathogens

    Percentage of patients with common pathogen antibodies

    Time frame: 24-30 months from enrollment

  29. Incidence of adverse events (AEs)

    Number of AEs per person time. AEs will be considered as any grade 3-4 AE or serious adverse event (SAE); individual AEs; or AEs related to study drugs.

    Time frame: 24-30 months from enrollment

  30. Incidence of wasting

    Incidence proportion of wasting will be defined for each age range of measurement. It is defined as the proportion of children not wasted at the start of the period who became wasted during the age period (the proportion of children who had the onset of new episodes during the period). Incident wasting episodes are defined as a change in weight-for-length z-scores from above -2 Z in the prior measurement to below -2 Z in the current measurement. We will define incident severe wasting analogously using a -3 Z cutoff. We will assume a 60-day washout period before a new wasting episode could occur.

    Time frame: 24-30 months from enrollment

  31. Incidence of stunting

    Incidence proportion of stunting will be defined for each age range of measurement. It is defined as the proportion of children not stunted at the start of the period who became stunted during the age period. Incident stunting episodes will be defined as a change in length-for-age z-scores from above -2 Z in the prior measurement to below -2 Z in the current measurement. We will define incident severe stunting analogously using a -3 Z cutoff.

    Time frame: 24-30 months from enrollment

07

Study locations

1 site
  • Kiwangwa and Fukayosi clinics
    Bagamoyo, Tanzania
08

References and documents

Publications

  • Jebiwott S, Gutapaka N, Sumari D, Loss G, Athuman T, Nyandele JP, Cummins H, Chemba M, Benjamin-Chung J, Gangar P, Wu X, Smith J, Chen I, Dorsey G, Fink G, Olotu A, Hsiang M. Child Health and Infection with Low Density (CHILD) malaria: a protocol for a randomised controlled trial to assess the long-term health and socioeconomic impacts of testing and treating low-density malaria infection among children in Tanzania. BMJ Open. 2024 Mar 27;14(3):e082227. doi: 10.1136/bmjopen-2023-082227. PubMed 38538037 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — Summary results information will be submitted to ClinicalTrials.gov within 12 months of completion of follow-up of all study participants. After completion of the clinical trial, un-blinding will be performed, and results will be disseminated widely by presentation at international scientific meetings, in reports and policy meetings for local, regional, and global stakeholders, and in publications in peer-reviewed journals. Upon completion of planned analyses and publication of the main trial results, data will be made available for research purposes to other individuals in the scientific community upon request to the PI and Consortium PIs. Informed consent documents for the study will include a specific statement relating to posting and sharing of study information at ClinicalTrials.gov, and in presentations, reports, and publications, and that no individual identities will ever be used in these materials and forums.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Clinical study report

Time frame: Upon completion of analysis and publication of main trial results

Access criteria: Request and approval of PIs Planned analyses completed and main trial results published

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Jul 2023 to primary completion in Nov 2025, 28 months.

Of 24 interventional studies with no phase under Malaria, Falciparum, half reached primary completion within 20 months of starting (the median), counting those still running; a quarter within 8 and three quarters within 31. This study's 28 months is above that.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 30, 2022
First posted
Oct 5, 2022
StartActual
Jul 18, 2023
Primary completionActual
Nov 28, 2025
CompletionActual
Nov 28, 2025
Last update
Jan 29, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jan 29, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05567016
Collaborators
National Institute of Allergy and Infectious Diseases (NIAID), Ifakara Health Institute, Swiss Tropical & Public Health Institute, Stanford University, Chan Zuckerberg Biohub
Responsible party
Sponsor
First posted
Oct 5, 2022
Start date
Jul 18, 2023
Primary completion
Nov 28, 2025
Completion
Nov 28, 2025
Last update
Jan 29, 2026

Study contacts

Michelle Hsiang, MD, MSc
principal investigator · University of California, San Francisco
Ally Olotu, MD, PhD
principal investigator · Ifakara Health Institute

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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