Evidence map›Paper›PMID 32484443›Full record

ReviewJournal of medical Internet research2020

Considerations for an Individual-Level Population Notification System for Pandemic Response: A Review and Prototype.

Mohammad Nazmus Sakib, Zahid A Butt, Plinio Pelegrini Morita, Mark Oremus, Geoffrey T Fong, Peter A Hall

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Impact of the COVID-19 pandemic on infectious diseases reporting.Journal of preventive medicine and hygiene · 2024
    Article
  2. Article
  3. Article
  4. Does the Prosperity of a Country Play a Role in COVID-19 Outcomes?Disaster medicine and public health preparedness · 2022
    Observational
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Mohammad Nazmus SakibSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-5664-5834
Zahid A ButtSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0002-2486-4781
Plinio Pelegrini MoritaSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-9515-6478
Mark OremusSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-8190-253X
Geoffrey T FongSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-9098-6472
Peter A HallSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-7730-0552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, spread worldwide after its emergence in China. Whether rich or poor, all nations are struggling to cope with this new global health crisis. The speed of the threat's emergence and the quick response required from public health authorities and the public itself makes evident the need for a major reform in pandemic surveillance and notification systems. The development and implementation of a graded, individual-level pandemic notification system could be an effective tool to combat future threats of epidemics. This paper describes a prototype model of such a notification system and its potential advantages and challenges for implementation. Similar to other emergency alerts, this system would include a number of threat levels (level 1-5) with a higher level indicating increasing severity and intensity of safety measures (eg, level 1: general hygiene, level 2: enhanced hygiene, level 3: physical distancing, level 4: shelter in place, and level 5: lockdown). The notifications would be transmitted to cellular devices via text message (for lower threat levels) or push notification (for higher threat levels). The notification system would allow the public to be informed about the threat level in real time and act accordingly in an organized manner. New Zealand and the United Kingdom have recently launched similar alert systems designed to coordinate the ongoing COVID-19 pandemic response more efficiently. Implementing such a system, however, faces multiple challenges. Extensive preparation and coordination among all levels of government and relevant sectors are required. Additionally, such systems may be effective primarily in countries where there exists at least moderate trust in government. Advance and ongoing public education about the nature of the system and its steps would be an essential part of the system, such that all members of the public understand the meaning of each step in advance, similar to what has been established in systems for other emergency responses. This educational component is of utmost importance to minimize adverse public reaction and unintended consequences. The use of mass media and local communities could be considered where mobile phone penetration is low. The implementation of such a notification system would be more challenging in developing countries for several reasons, including inadequate technology, limited use of data plans, high population density, poverty, mistrust in government, and tendency to ignore or failure to understand the warning messages. Despite the challenges, an individual-level pandemic notification system could provide added benefits by giving an additional route for notification that would be complementary to existing platforms.

Indexed as

Coronavirus InfectionsCOVID-19Disease NotificationEmergency Service, HospitalHumansPandemicsPneumonia, ViralcoronavirusCOVID-19epidemichygienelockdownmobile technologynotification systempandemicphysical distancing

Identifiers

PMID32484443
PMCPMC7279045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.