Welcome to the Mosqlimate API documentation

The Mosqlimate API is focused on providing automatable access to both Data and Forecasting models for arbovirus diseases.

Data

The Data access part of it, also called datastore, gives access to Disease notification data, relevant climate time series, such as temperature and precipitation, and Mosquito abundance data. The geographical scope of the API is Brazil, at the level of municipality.

Models

The model part of the API, is called Model Registry, and it allows registered users to upload metadata about open-source forecasting models that use Mosqlimate data. To register a model, a user needs to:

• Have an account on the platform;
• Have the code of their model in a GitHub repository.

Predictions

Another kind of information that can be uploaded here, are the forecasts generated by the models. The Forecasts uploaded are used to populate our forecast dashboard, where the models can be visually compared in their ability to forecast dengue and other mosquito-borne diseases.

Usage

Detailed usage instructions with code examples can be found in the specific documentation of each of the API endpoint. For request data from the platform an account is required (see Authorization).

Mosqlient

Mosqlient provides a Python Client to request data from the API interactively, you can check its documentation in the Mosqlimate-client readthedocs.