A pilot study using financial transactions' spatial information to define high-risk neighborhoods and distribution pattern of COVID-19. (February 2022)
- Record Type:
- Journal Article
- Title:
- A pilot study using financial transactions' spatial information to define high-risk neighborhoods and distribution pattern of COVID-19. (February 2022)
- Main Title:
- A pilot study using financial transactions' spatial information to define high-risk neighborhoods and distribution pattern of COVID-19
- Authors:
- Mohammadi, Esmaeil
Azmin, Mehrdad
Fattahi, Nima
Ghasemi, Erfan
Azadnajafabad, Sina
Rezaei, Negar
Rashidi, Mohammad-Mahdi
Keykhaei, Mohammad
Zokaei, Hossein
Rezaei, Nazila
Haghshenas, Rosa
Kaveh, Farzad
Pakatchian, Erfan
Jamshidi, Hamidreza
Farzadfar, Farshad - Abstract:
- Background: Development of surveillance systems based on big data sources with spatial information is necessitated more than ever during this pandemic. Here, we present our pilot results of a new technique for the incorporation of spatial information of transactions and a vital registry of COVID-19 to evaluate the disease spread. Methods: We merged two databases of laboratory-confirmed national COVID-19 registry of Iran and financial transactions of point-of-sale devices from February to March 2020 as our training data sources. Spatial information was used for the visualization of maps and movements of sick individuals. We used the point-of-sale devices-related guild to check for the dynamics of financial transactions and effectiveness of quarantines. Findings: In the study period, 174, 428 confirmed cases were in the COVID-19 registry with accompanying transactions information. In total, 13, 924, 982 financial transactions were performed by them, with a mean of 1.2 per day for each person. All guilds had a decreasing pattern of "risky" transactions except for grocery stores and pharmacies. The latter showed a decreasing pattern by impose of lockdowns. Different cities were the hotspot of disease transmission as many "high-risk" transactions were performed in them, among which Tehran (mainly its central neighborhoods) and southern cities of Lake Urmia predominated. Lockdowns indicated that the disease gradually became less transmissible. Interpretation: FinancialBackground: Development of surveillance systems based on big data sources with spatial information is necessitated more than ever during this pandemic. Here, we present our pilot results of a new technique for the incorporation of spatial information of transactions and a vital registry of COVID-19 to evaluate the disease spread. Methods: We merged two databases of laboratory-confirmed national COVID-19 registry of Iran and financial transactions of point-of-sale devices from February to March 2020 as our training data sources. Spatial information was used for the visualization of maps and movements of sick individuals. We used the point-of-sale devices-related guild to check for the dynamics of financial transactions and effectiveness of quarantines. Findings: In the study period, 174, 428 confirmed cases were in the COVID-19 registry with accompanying transactions information. In total, 13, 924, 982 financial transactions were performed by them, with a mean of 1.2 per day for each person. All guilds had a decreasing pattern of "risky" transactions except for grocery stores and pharmacies. The latter showed a decreasing pattern by impose of lockdowns. Different cities were the hotspot of disease transmission as many "high-risk" transactions were performed in them, among which Tehran (mainly its central neighborhoods) and southern cities of Lake Urmia predominated. Lockdowns indicated that the disease gradually became less transmissible. Interpretation: Financial transactions can be readily used for epidemics surveillance. Semi real-time results of such iterations can be informative for policy makers, guild owners, and general population to prepare safer commuting and merchandise spaces. … (more)
- Is Part Of:
- Digital health. Volume 8(2022)
- Journal:
- Digital health
- Issue:
- Volume 8(2022)
- Issue Display:
- Volume 8, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 8
- Issue:
- 2022
- Issue Sort Value:
- 2022-0008-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- COVID-19 -- transactions -- surveillance -- epidemics -- pandemic
Medical care -- Data processing -- Periodicals
Medical informatics -- Periodicals
362.10285 - Journal URLs:
- http://www.uk.sagepub.com/home.nav ↗
http://dhj.sagepub.com/ ↗ - DOI:
- 10.1177/20552076221076252 ↗
- Languages:
- English
- ISSNs:
- 2055-2076
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24206.xml