Using location history data from cell phones of infectious patients for disease surveillance (2023)
- Authors:
- Autor USP: GIDDALURU, JEEVAN - FCF
- Unidade: FCF
- Sigla do Departamento: FBC
- DOI: 10.11606/T.9.2023.tde-11032024-154311
- Subjects: EPIDEMIOLOGIA; SISTEMA DE POSICIONAMENTO GLOBAL; MALÁRIA; TUBERCULOSE
- Keywords: Digital epidemiology; Disease surveillance; Epidemiologia digital; Global positioning system; Malaria; Malária; Sistema de posicionamento global; Tuberculose; Tuberculosis; Vigilância de doenças
- Agências de fomento:
- Language: Inglês
- Abstract: Infectious diseases significantly contribute to global morbidity and mortality, highlighting the critical need for robust disease surveillance systems. The rapid and accurate identification of infection hotspots is crucial for effective disease control and eliminating vector reservoirs. Traditional methods, reliant on patient-reported data, are vague, slow, and non-integrative, presenting substantial barriers to fully understanding the underlying causes of infection transmission. The widespread usage of smartphones presents a unique opportunity to access, analyze, and monitor digital data. Particularly, location data can offer potential insights into infectious disease dynamics, which has remained largely unexplored. Firstly, the present study leverages location history data from smartphones of malaria patients in Manaus, Amazonas region, to pinpoint mosquito-breeding sites. Upon quantifying the location data, the primary transmission hotspots were identified to be concentrated on the outskirts of the city of Manaus. Additionally, the quantification and hotspot validation confirmed that newly visited locations during the exposure period were potential sources of infection transmission. Secondly, the current study also employs a novel digital contact investigation method for a human-to-human transmission infection such as tuberculosis to measure the exposure risk between the active index cases and their close contacts. The digital contact investigation revealed varied exposure durations between the recruited paired index and close contact participants based on the outcome of close contact. To summarize, the present study determines distinct mobility patterns associated with both these infectious diseases, potentially aiding in drafting targeted public health strategies and policies for digital epidemiological surveillance
- Imprenta:
- Data da defesa: 19.12.2023
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-sa
-
ABNT
GIDDALURU, Jeevan. Using location history data from cell phones of infectious patients for disease surveillance. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/9/9142/tde-11032024-154311/. Acesso em: 28 dez. 2025. -
APA
Giddaluru, J. (2023). Using location history data from cell phones of infectious patients for disease surveillance (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/9/9142/tde-11032024-154311/ -
NLM
Giddaluru J. Using location history data from cell phones of infectious patients for disease surveillance [Internet]. 2023 ;[citado 2025 dez. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/9/9142/tde-11032024-154311/ -
Vancouver
Giddaluru J. Using location history data from cell phones of infectious patients for disease surveillance [Internet]. 2023 ;[citado 2025 dez. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/9/9142/tde-11032024-154311/ - Outbreak: a user-friendly georeferencing online tool for disease surveillance
- Network vaccinology
- Tucuxi-BLAST: enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approach
- Gene signatures of autopsy Lungs from obese patients with COVID-19
- In-depth analysis of laboratory parameters reveals the interplay between sex, age, and systemic inflammation in individuals with COVID-19
Informações sobre o DOI: 10.11606/T.9.2023.tde-11032024-154311 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
