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Data associated with "Spatial Exploration of The Impact of Livestock on Malaria Transmission Using Data from A Cluster Randomized Clinical Trial"

Version 2 2025-02-10, 15:32
Version 1 2025-02-10, 15:29
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posted on 2025-02-10, 15:32 authored by Almudena Sanz GutierrezAlmudena Sanz Gutierrez

These data is related to the analysis of the article "Spatial Exploration of The Impact of Livestock on Malaria Transmission Using Data from A Cluster Randomized Clinical Trial" (abstract below). Aggregated values of variables considered for the model are presented here. for participants' privacy safety, the full anonymized dataset is only available upon request to the corresponding author.

ABSTRACT

After remarkable success from 2000 to 2015, the progress in reducing the global malaria burden has stalled and even reversed in the last few years according to the World Health Organization. Vector control is currently the single most powerful intervention against malaria, but there is evidence that elimination is not feasible with the available vector controls tools in most settings. As there are ongoing global efforts to develop and test novel methods, zooprophylaxis refers to the use of livestock to divert mosquito vectors away from humans, potentially reducing malaria transmission. However, conflicting evidence highlights the concept of zoopotentiation, where livestock may instead increase vector populations and enhance malaria transmission. This controversy raises ongoing debates about the role of cattle in malaria. Here, we implemented a novel spatial approach to explore the role of cattle on malaria transmission in coastal Kenya. Using data with high granularity from a recent clinical trial, we explore variables beyond ownership. We show that the cattle-to-human ratio measured at 400 and at 500 meters around the household is significantly related to higher odds of testing positive for malaria. Cattle kept within 200 m of households do not impact malaria prevalence. Furthermore, we demonstrate that livestock can and should be considered a contributing environmental factor in malaria transmission and not only a family asset.


History

Publisher

University Libraries, Virginia Tech

Corresponding Author Name

Almudena Sanz Gutierrez

Corresponding Author E-mail Address

almudenasg@vt.edu

Files/Folders in Dataset and Description

DataAssociatedWithSpatialExplorationLivestockMalaria.csv - Aggregated data from the dataset used for the article "Spatial Exploration of The Impact of Livestock on Malaria Transmission Using Data from A Cluster Randomized Clinical Trial". DataAssociatedWithSpatialExplorationLivestockMalariaDictionary.csv - Dictionary associated with the dataset. Column headers are defined as follows: variable - Name of the variable being aggregated. If the variable is categorical, there are several variables, one for each categorical option. Dictionary in Sheet 2. level - Whether the variables was measured at the household level or at the individual level n - Number of observations in that particular category (NA for quantitative variables) percentage - Percentage of observations in that particular category (NA for quantitative variables) min - Minimum value (NA for categorical variables) Q1 - First quartile value (NA for categorical variables) median - Median value (NA for categorical variables) mean - Mean value (NA for categorical variables) Q3 - Third quartile value (NA for categorical variables) max - Maximum value (NA for categorical variables)

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    Biomedical and Veterinary Sciences

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