Abstract
Suicide remains a leading public health concern. Currently, official data on suicide and mental health in general is often available only at an annual resolution, at country-level, and with a considerable delay and cost. The predominant focus of this research was to establish alternate means of aggregating and predicting suicide incidents inferred from proxies that are known to be strongly correlated to suicide. Since web search data can be aggregated at arbitrary spatio-temporal resolutions and in real time, it is possible to impute estimates of suicide rates at new levels of granularity and timeliness by inferring depression rates from PHQ-9.
| Original language | English |
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| Qualification | Masters |
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| Award date | 21 Aug 2023 |
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| Publication status | Unpublished - 2023 |
Access to Document
- THESIS - MASTER OF PHILOSOPHY - SADILEK Esther Elizabeth - 2023
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