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Data & Code

Find H-MIP datasets, code and publications. We aim to make research data findable, accessible, interoperable and reusable (FAIR); Zenodo records provide metadata, DOIs, licences and citations.

01

Datasets

Zenodo2024CC BY 4.0

Assessing and Correcting Neighborhood Socioeconomic Spatial Sampling Biases in Citizen Science Mosquito Data Collection

Mosquito Alert citizen science reports from Barcelona (2014–2023), with catch basin and mosquito trap surveillance data, used to assess and correct neighbourhood socioeconomic sampling biases.

DOI: 10.5281/zenodo.10684356
Zenodo2023CC BY 4.0

A fast and inexpensive genotyping system for the simultaneous analysis of human and Aedes albopictus short tandem repeats

Data supporting a low-cost genotyping system that analyses short tandem repeats of humans and Aedes albopictus mosquitoes at the same time.

DOI: 10.5281/zenodo.8328858
Zenodo2022CC BY 4.0

Distancia-Covid Contact Estimates for Spain

Estimated mean numbers of co-residents and non-co-resident contacts by age group in Spain in 2020 and 2021, for the whole country and by autonomous community, derived from the CSIC Distancia-Covid survey.

DOI: 10.5281/zenodo.5983902
Zenodo2022CC BY 4.0

Distancia-Covid Individual Contact Estimates for Spain

Estimated numbers of co-residents and non-co-resident contacts for each individual in the Spanish Labour Force Survey in 2020 and 2021, derived from the CSIC Distancia-Covid survey.

DOI: 10.5281/zenodo.6000858

02

Code

Zenodo2025GPL-3.0

Bites.jl

Julia package for simulating and analysing mosquito–host biting networks, including multi-host models for West Nile virus transmission.

DOI: 10.5281/zenodo.18088794
Zenodo2024GPL-3.0

Open Code for "Assessing and Correcting Neighborhood Socioeconomic Spatial Sampling Biases in Citizen Science Mosquito Data Collection"

R code used to assess and correct neighbourhood socioeconomic sampling biases in Mosquito Alert citizen science data from Barcelona.

DOI: 10.5281/zenodo.10796324
GitHub2020GPL-3.0

Space Mapper

Privacy-focused mobile phone app that maps a person’s daily movements and lets them choose to share anonymised location history with researchers.

Open resource

Verified links

Project resources available now

These project and European Commission pages provide further context and public project records.

Website source code

The site's source code and update guide are available on GitHub under GPL-3.0.

GitHub

Site transparency

Data behind this website

The map and Home preview use model estimates for H3 cells and municipalities. Time and activity results will appear when verified data is available.

Municipal and comarca boundaries © ICGC, CC BY 4.0. Basemap © OpenStreetMap contributors (ODbL).

Model data

Model estimates by the Human-Mosquito Interaction Project, CC0 1.0. A citable version with a DOI will follow. The downloads include H3 values, municipality values, and layer units and class breaks.