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We propose to use Twitter data as social-spatial sensors. This study dealswith the question whether research papers on certain diseases are perceived bypeople in regions (worldwide) that are especially concerned by the diseases.Since (some) Twitter data contain location information, it is possible tospatially map the activity of Twitter users referring to certain papers (e.g.,dealing with tuberculosis). The resulting maps reveal whether heavy activity onTwitter is correlated with large numbers of people having certain diseases. Inthis study, we focus on tuberculosis, human immunodeficiency virus (HIV), andmalaria, since the World Health Organization ranks these diseases as the topthree causes of death worldwide by a single infectious agent. The results ofthe social-spatial Twitter maps (and additionally performed regression models)reveal the usefulness of the proposed sensor approach. One receives animpression of how research papers on the diseases have been perceived by peoplein regions that are especially concerned by the diseases. Our studydemonstrates a promising approach for using Twitter data for researchevaluation purposes beyond simple counting of tweets.

Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors