Individual Study / Owers et al.; PLoS Negl Trop Dis. 2018

cohort of Pau da Lima residents

cohort of Pau da Lima residents

Initiatives -
Start Year
2014
End Year
2014
Funding
Oswaldo Cruz Foundation (https://portal.fiocruz.br/en) and Secretariat of Health Surveillance,Brazilian Ministry of Health(http://portalms.saude.gov.br/vigilancia-em-saude),the Wilbur Downs Fellowship (https://publichealth.yale.edu/downs) [KAO],the Yale Institute for Biospheric Studies (https://yibs.yale.edu) [KAO],the Yale Council on Latin American and IberianStudies(https://clais.macmillan.yale.edu)[KAO], a fellowship (R25TW009337) funded by the Fogarty International Center and the National Institute of MentalHealth(https://www.fic.nih.gov/Programs/Pages/fulbright-fellowships.aspx)[JO]and grants from the National Institutes of Health(F31 AI114245,R01 AI052473,U01 AI088752,R01 TW009504, R25 TW009338) and by the WellcomeTrust [102330/Z/13/Z].

Design

Study design
Population cohort

Marker Paper

Owers KA, Odetunde J, de Matos RB, et al. Fine-scale GPS tracking to quantify human movement patterns and exposure to leptospires in the urban slum environment. PLoS Negl Trop Dis. 2018;12(8):e0006752. Published 2018 Aug 31. doi:10.1371/journal.pntd.0006752

PUBMED 30169513

Number of participants

Number of participants
109
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Supplementary Information

Timeline

participants from an ongoing cohort studyin an urban slumin Brazil

Selection Criteria
Gender
women
Minimum age
15
Newborns
Twins
Countries
  • Brazil
Territory
Salvador
Ethnic Origin
Health Status

Recruitment

Sources of recruitment
  • Specific population
Specific Population
  • Other specific population : Pau da Lima is an urban slum in Salvador, the third largest city in Brazil. This slum, at the periphery of the city. This site is a high-transmission setting for leptospirosis.

Number of participants

Number of participants
109
Number of participants with biosamples
Data Collection Event
Start Date
2014-06
End Date
2014-09
Data sources
  • Geospatial technology
    • Global navigation satellite systems (GNSS) (e.g. GPS, GLONASS, Galileo, etc.)