Dataset for: Infectious disease responses to human climate change adaptations

Original and derived data products referenced in the original manuscript are provided in the data package.

Description of the data and file structure

Original data:

Table_1_source_papers.csv: Papers that met review criteria and which are summarized in Table 1 of the manuscript.

ID: The paper identification number

Topic: The broad topic (i.e., each row of Table 1)

Authors: The names of the authors of the paper

Article Title: The title of the paper

Source Title: The name of the journal in which the paper was published

Abstract: The paper's abstract, retrieved from the Web of Science search

study_type: Classification of the study methodology/approach. "A" = a designed study that shows effect ,"B" = a pre/post study, "C" = a comparison of health outcomes or pathogen risk relative to a 'control/comparison' area, "D" = some quantitative effect but no control, "E" = qualitative comments but little supporting evidence, and/or a qualitative review.

pathogen_broad: Broad classification of the type of pathogen discussed in the paper.

transmission_type: Categorization of indirect, direct, sexual, vector, or other transmission modes.

pathogen_type: Categorization of bacteria, helminth, virus, protozoa, fungi, or other pathogen types.

country: Country in which the study was performed or results discussed. When countries were not available, regions were used. NA values indicate papers in which a geographic region was not relevant to the study (i.e., a methods-based study).

Derived data:

change_livestock_country.csv: A dataframe containing values used to generate Figure 4a in the manuscript.

County Name: The name of the county in Kenya

Sheep and goats 1980: The estimated number of sheep and goats in 1980

Sheep and goats 2016: The estimated number of sheep and goats in 2016

pct_change_shoat: The percent change in sheep and goat numbers from 1980 to 2016

Cattle 1980: The estimated number of cattle in 1980

Cattle 2016: The estimated number of cattle in 2016

pct_change_cattle: The percent change in cattle numbers from 1980 to 2016

Camel 1980: The estimated number of camels in 1980

Camel 2016: The estimated number of camels in 2016

pct_change_camel: The percent change in camel numbers from 1980 to 2016

human_pop 1980: The estimated human population in the county in 1980

human_pop 2016: The estimated human population in the county in 1980

pct_change_human: The percent change in the human population from 1980 to 2016

area_sq_km: The land area of the county

change_ind_per_sq_km_shoat: Absolute change in number of sheep and goats from 1980 to 2016

change_ind_per_sq_km_cattle: Absolute change in number of cattle from 1980 to 2016

change_ind_per_sq_km_camel: Absolute change in number of camels from 1980 to 2016

country_avg_schist_wormy_world.csv: A dataframe containing values used to generate Figure 3 in the manuscript.

Country: The country in which the schistosome prevalence studies were performed.

Latitude: The latitute in decimal degrees

Longitude: The longitute in decimal degrees

Maximum.prevalence: The mean maximum schistosomiasis prevalence of studies conducted within each country.

kenya_precip_change_1951_2020.csv: A dataframe containing values used to generate Figure 4b in the manuscript.

Precipitation (mm): Binned annual precipitation values

1951-1980: The density of observations for each annual precipitation value for the 1951-1980 period

1971-2000: The density of observations for each annual precipitation value for the 1971-2000 period

1991-2020: The density of observations for each annual precipitation value for the 1991-2020 period

Sharing/Access information

Data were derived from the following sources:

Ogutu, J. O., Piepho, H.-P., Said, M. Y., Ojwang, G. O., Njino, L. W., Kifugo, S. C., & Wargute, P. W. (2016). Extreme wildlife declines and concurrent increase in livestock numbers in Kenya: What are the causes? PloS ONE, 11(9), e0163249. https://doi.org/10.1371/journal.pone.0163249

London Applied & Spatial Epidemiology Research Group (LASER). (2023). Global Atlas of Helminth Infections: STH and Schistosomiasis [dataset]. London School of Hygiene and Tropical Medicine. https://lshtm.maps.arcgis.com/apps/webappviewer/index.html?id=2e1bc70731114537a8504e3260b6fbc0

World Bank Group. (2023). Climate Data & Projections—Kenya. Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/country/kenya/climate-data-projections