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Sussundenga malaria risk

Cite this dataset

Searle, Kelly; Ferrao, Joao; Earland, Dominique; Anisio, Novela (2023). Sussundenga malaria risk [Dataset]. Dryad.


This dataset is from a community based cross-sectional survey in Sussundenga, Mozambique. The survey was conducted in 2019-2020 in households identified from satellite imagery. Demographics of participants and risk factors for malaria were obtained by questionnaire and malaria infection was obtained by rapid diagnostic test (RDT). 

README: Sussundenga malaria risk

This is a summary dataset of individual level data from a community based cross-sectional survey in Sussundenga village, Mozambique collected from December 2019 - February 2020.

Description of the data and file structure

  • Number: numeric variable indicating the participant id number
  • rdt_result_nomiss: results of the RDT test done at the time of the household survey. 0=negative, 1=positive
  • adult_child: indicator variable of whether the participant is an adult (>13 years) or child (<14 years). 0=child, 1=adult
  • Sex: self-reported sex. 0=male, 1=female
  • malaria_treat_more: indicator variable of whether the participant sought treatment for the last episode of malaria symptoms. 0=no, 1=yes.
  • employment_paid: indicator variable for the type of paid employment of the participant. 0=no eligible for employment, 1=no paid employment, 2=paid employment
  • Age: Continuous age of participant
  • Phone: cell phone ownership. 0=no, 1=yes, 2=not applicable
  • Education: categorical variable of highest education level attained. 0=none, 1=primary, 2=secondary, 3=higher than secondary
  • Pop dens: estimated population density of the neighborhood.
  • Hous Size: continuous variable of the number of residents in the household
  • HHCategory: categorical variable of the households being small or large based on number of residents. 1= <6 residents, 2= 6+ residents
  • Age category: categorical variable based on age of participant. 0=0-5 years, 1=6-15 years, 2=16-25 years, 3=>25 years.
  • Bairros: indicator variable for the neighborhood. This is given as numeric as it is a potential identifying variable.

##Note: Missingness for variables should be coded according to the syntax of the statistical software being used for these to be automatically excluded during statistical analyses. 

Sharing/Access information

There are no links to additional data.

Data was derived from the following sources: This is originally collected data from a community-based cross-sectional survey.


Wellcome Trust