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India ICEMR Cohort

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NIAID Data Ecosystem2026-03-13 收录
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https://clinepidb.org/ce/app/record/dataset/DS_05ea525fd3
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Related Studies: India ICEMR Cross-sectional India ICEMR Fever Surveillance India ICEMR Severe P. vivax and falciparum Cohort India ICEMR Behavior Cross-sectional India ICEMR Meghalaya Cross-sectional India ICEMR DAMaN Quasi-experimental Stepped-wedge Background: This dataset presents a longitudinal cohort study performed at 2 different sites in India, Chennai and Rourkela, with matching census data for participants. Objectives: Establish the prevalence and incidence of malaria Determine the impact of complex malaria on disease outcome Determine the impact of the host immune response to functionally important antigens Methodology: Geographic Location/Study Sites: Chennai in the state of Tamil Nadu; and Rourkela in Sundergarh District in the state of Odisha Dates of Data Collection: Census data was collected between January 2012 and October 2014. Longitudinal data was collected approximately every three months from February 2013 until March 2015. Study Design: Longitudinal cohort study Eligibility Criteria: Longitudinal cohort participants were identified randomly from census household members from Chennai and Rourkela. Data Collection: Census information was collected once from households in Chennai in Tamil Nadu and Rourkela in Odisha. The survey included questions on household members and animals, facilities, household assets, and bednet and insecticide usage. Members of the longitudinal cohort were visited approximately every 3 months, with follow-up within two weeks for participants who tested positive for malaria. Participants answered questions on demographics, malaria history, use of mosquito protection, recent travel history, and current symptoms. They also underwent a physical exam and blood collected from a finger prick for malaria diagnosis by microscopy, RDT, and PCR, and for downstream analyses such as host or parasite genotyping, or seropositivity studies. A larger volume of blood was collected from RDT positive subjects for additional studies such as parasite whole genome sequencing. Note: only census data linked to participants in the longitudinal study is displayed in ClinEpiDB. Study Documentation: Census CRF - Used to collect census data at the household and individual level Cross-sectional enrollment CRF - Used to enroll participants in the longitudinal study and collect participant and observation level data at each scheduled visit Follow-up visit CRF - Used to collect data at a follow-up visit if the participant was found to have malaria during the last visit Data dictionary - Contains the variable names and possible values for all CRFs along with the questions being asked and data types ClinEpiDB Data Integration: Data files were provided to ClinEpiDB as flat, csv files. These datasets were merged by unique ID and redundant or administrative columns were dropped from presentation on ClinEpiDB.org. All dates were obfuscated per participant through the application of a random number algorithm that shifted dates no more than seven days to comply with the ethical conduct of human subjects research. Acknowledgements: We gratefully acknowledge the Director, field officers, and staff of the Indian Council of Medical Research/National Institute of Malaria Research, and the peoples of Chennai and Rourkela, India. Financial Support: Supported by the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health under Award Number U19AI089676 Ethics Statement: Approved by the Indian Council of Medical Research/National Institute of Malaria Research & New York University Last updated: December 23, 2021 A longitudinal cohort study of malaria in different transmission settings was conducted at two sites in India. Participants of all ages were randomly identified from household censuses that were conducted and visited roughly every 3 months.
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2022-03-03
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