Malaria Clinical Trial
Official title:
Evaluation of Vector and Chemoprevention-based Interventions to Reduce Malaria Burden in Urban Daaras of Touba, Senegal
Verified date | April 2024 |
Source | PATH |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study aims to evaluate the effectiveness of the use of adapted insecticide-treated mosquito nets combined with extended DHA-PQ-based seasonal chemoprevention for all ages and behavior change communication in reducing the burden of malaria in relation to standards of protection and care among students (taalibés) in the daaras (Koranic schools) of Touba, Senegal.
Status | Active, not recruiting |
Enrollment | 4600 |
Est. completion date | February 2025 |
Est. primary completion date | February 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 3 Months and older |
Eligibility | Inclusion criteria for daara: - Located within the catchment area of Touba Health District - Located within the catchment area of a health facility with an annual malaria incidence of = 25 cases per 1000 population - Daara is registered in the health system and the Serigne daara (i.e., daara leader) can provide caregiver consent for taalibé. - Taalibé population between 50 to 100 - PECAdaara model has been integrated and fully operational - Willingness of daara leader to participate in the study Inclusion criteria for receiving SMC with DHA-PQ: - Age = 3 months - Taalibé of study daara - Willingness to comply with study procedures - Provision of informed consent/assent Additional inclusion criteria for receiving meganets: - Sleeping in a superimposed area with = 2 people Exclusion Criteria: - Age < 3 months - Refusal of informed consent - Concomitant or recent use of antimalarials within the past two weeks - Known allergy or hypersensitivity to DHA-PQ - Confirmed diagnosis of clinical malaria - Currently taking anti-worm or anti-infection drugs, including cotrimoxazole (BACTRIM), mebendazole, quinolones, sulfonamides (FANSIDAR, MALOXINE), dapsone, colchicine - Currently taking medications that influence cardiac function or prolong the QTc interval - Serious or chronic illness, including known HIV infection, heart disease, or severe malnutrition (weight-for-age or mid-upper arm circumference (MUAC) < 3 SD) - Pregnancy (assessed by history or urine pregnancy test) |
Country | Name | City | State |
---|---|---|---|
Senegal | Daaras in Touba | Touba |
Lead Sponsor | Collaborator |
---|---|
PATH | L'université de Thiès, Tulane University, University of California, San Francisco |
Senegal,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Difference in cumulative incidence of clinical malaria confirmed by rapid diagnostic test (RDT) between arms | Cumulative incidence will be defined as the number of RDT-confirmed malaria cases per 1000 population in each daara. Cases will be identified from both PECAdaara and health facility registries | monthly basis over 12 months | |
Primary | Difference in pre-post change in prevalence of microscopy-confirmed infection between arms | Prevalence will be defined as the proportion of individuals with microscopy-confirmed infection assessed during cross-sectional surveys | 12 months | |
Primary | Difference in pre-post change in prevalence of PCR-confirmed infection between arms | Prevalence will be defined as the proportion of individuals with PCR-confirmed infection, assessed during cross-sectional surveys | 12 months | |
Secondary | Difference in cumulative incidence of grade 3+ adverse events after SMC administration between arms | Defined as the number of grade 3+ AEs divided by the participant population who received at least one dose of SMC drug. | 12 months | |
Secondary | Difference in the cumulative incidence of serious adverse events (SAE) after SMC administration between arms | Adverse events will be classified as serious or non-serious based on standardized AE grading scale | 12 months | |
Secondary | Difference in human behavior on net use before and after ITN/meganet distribution | ITN use (e.g., sleeping under net in the previous night, sleeping indoors versus outdoors) will be assessed during cross-sectional surveys | 12 months | |
Secondary | Difference in indoor and outdoor adjusted human biting rates between arms | The human landing rate will be used as a proxy for the human biting rate (HBR). The HBR data will be integrated with the human behavior observation (HBO) data on net use and sleep patterns data by calculating the hourly adjusted HBR. | 12 months | |
Secondary | Difference in Anopheles biting trends between arms | Anopheles biting trends will be examined by measuring the Anopheles biting times (including peak biting time), biting locations (indoors and outdoors), and vector density (defined as mean number of bites received by one person in one night) during human landing catches | 12 months | |
Secondary | Acceptability of intervention package | Perceptions of intervention package and reasons for participation assessed through qualitative studies conducted throughout the study period | 12 months | |
Secondary | Difference in proportion of refusals between arms | Refusals will be defined as the number of those who refused a specific intervention divided by the number of participants who were targeted and eligible to receive the specific intervention (i.e., chemoprevention and meganets). | 12 months | |
Secondary | Difference in crude coverage of chemoprevention strategies between arms | Crude coverage will be defined as the number of persons who received intervention divided by number of those targeted and eligible | 12 months | |
Secondary | Difference in distribution coverage of chemoprevention strategies between arms | Distribution coverage will be defined using WHO criteria as number of persons who received the intervention divided by number of those who were targeted (regardless of eligibility) | 12 months | |
Secondary | Cost per malaria case averted | Total intervention costs will be calculated in both arms and compared with efficacy measures of malaria incidence to generate the incremental cost effectiveness ratio. | 12 months |
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