Published on 30.07.2021 in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29840, first published April 23, 2021.

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Yuezhou Zhang¹

; Amos A Folarin^{1, 2, 3, 4, 5}

; Shaoxiong Sun¹

; Nicholas Cummins¹

; Yatharth Ranjan¹

; Zulqarnain Rashid¹

; Pauline Conde¹

; Callum Stewart¹

; Petroula Laiou¹

; Faith Matcham⁶

; Carolin Oetzmann⁶

; Femke Lamers⁷

; Sara Siddi^{8, 9, 10}

; Sara Simblett¹¹

; Aki Rintala^{12, 13}

; David C Mohr¹⁴

; Inez Myin-Germeys¹²

; Til Wykes^{3, 11}

; Josep Maria Haro^{8, 9, 10}

; Brenda W J H Penninx⁷

; Vaibhav A Narayan¹⁵

; Peter Annas¹⁶

; Matthew Hotopf^{3, 6}

; Richard J B Dobson^{1, 2, 3, 4, 5}

; RADAR-CNS Consortium¹⁷

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