| Literature DB >> 35983693 |
Virginia Recchia1, Alessandra Aloisi2, Antonella Zizza1.
Abstract
OBJECTIVE: Nowadays, due to globalisation, the likelihood that infectious diseases spread rapidly is extraordinarily high. SARS and COVID-19 are two diseases of the Coronavirus family, which developed in China and then spread internationally, causing global public health emergencies. This study investigates the role that risk management and communication systems played in mitigating these emergencies, to establish how they should be improved in the future.Entities:
Keywords: COVID-19; SARS; health planning; risk communication; risk management
Year: 2022 PMID: 35983693 PMCID: PMC9559595 DOI: 10.1002/hpm.3545
Source DB: PubMed Journal: Int J Health Plann Manage ISSN: 0749-6753
Responding to pandemic outbreaks
| Name | Source | Scope | Description‐how it works |
|---|---|---|---|
| GOARN‐Global outbreak alert and response network | WHO (2003) | Risk management | It is a network of technical experts from 120 countries, to respond to global surveillance needs of each pandemic outbreak. |
| SARS risk assessment and preparedness framework | WHO (2004) | Risk assessment | It is a phased framework of activities, to assess the risk that SARS might reappear and to prepare suitable emergency plans at national and international levels. |
| Global pandemic six‐phases threat index | WHO (2005) | Risk assessment | It ponders only the geographical spread of the outbreak via a technical language, producing misunderstandings among the international organizations, the media and the general public. |
| Crisis communication best practices | Sandman (2006) | Crisis communication | Crisis communication strategies should change along the four phases of an outbreak, which are based on two factors: The hazard; the public outrage. |
| PSI‐pandemic severity index | CDC (2007) | Risk assessment | The pandemic severity index (PSI) considers the severity of the potential pandemic and decodes it to specific guidelines for individuals and communities. |
| Risk communication phases | Sandman (2007) | Risk assessment and communication | It complements the WHO six‐phase system. Besides the impact of the virus ‐ it takes into account also (a) the level of public concern, and (b) the location of the disease. |
| Revised pandemic phases | WHO (2013) | Risk management | WHO recommends a new four‐phase system, in order to stimulate national authorities to develop their local risk management plans. This new system works on two matching axes ‐ the global and the local risk‐based phases. |
| Intervals‐preparedness and response framework | Holloway et al. (2014) | Risk management | This system clarifies the link among the broad WHO phases and the in‐depth planning intervals. In addition, the intervals express precise transmission‐related indicators, as well as the detailed response activities that should occur. |
| Pandemic influenza risk management | WHO (2017) | Risk management and communication | WHO harmonises national and international pandemic influenza preparedness and response phases, encouraging member states to develop agile plans based on national risk assessment. It also describes and stimulates risk communication strategies and activities. |
| Preparedness and response framework, with CDC intervals and WHO phases | Qualls et al. (2017) | Risk management and communication | Each interval is associated with particular activities, such as: 1) active participation in implementing non‐pharmaceutical interventions (NPIs) during the initiation and acceleration intervals; and 2) coordinated discontinuation of community‐level NPIs during the deceleration interval. |
| Novel coronavirus (2019‐nCoV): Strategic preparedness and response plan. | WHO (2020a, 2020b) | Risk management and communication | The plan sketches the public health measures that the international community stands ready to support all countries to prepare for and respond to 2019‐nCoV. |
| Strategy update. | The subsequent strategy update document provides a guide for countries preparing for a transition from widespread transmission to a stable state of low‐level or no transmission. |
Note: The evolution from GOARN to the actual international Risk Management and Communication Systems.
SARS‐CoV, clinical evaluation of molecular diagnostic tests and antibody detection assays
| Diagnostic method and detection target | Clinical specimen | % Sensitivity* (no. of samples; day | % Specificity | Reference |
|---|---|---|---|---|
| In‐house RT‐PCR | NPA | 59.7 (72; 1–5) | 100 | Yam et al. 2003 |
| RNA pol | ||||
| In‐house RT‐PCR | Nose and throat swab | 61.1 (54; 1–5) | 100 | Yam et al. 2003 |
| RNA pol | ||||
| In‐house RT‐PCR | Blood (plasma) | 79.2 (24; 1–3) | ‐‐‐ | Grant et al. 2003 |
| Nested RNA pol | ||||
| In‐house quantitative PCR | NPA | 62.5 (8; 1) | 100 | Poon et al. 2003 |
| ORF 1b | ||||
| In‐house quantitative PCR | NPA | 87.5 (16; 2) | 100 | Poon et al. 2003 |
| ORF 1b | ||||
| In‐house quantitative PCR | NPA | 80.1 (26; 3) | 100 | Poon et al. 2003 |
| ORF 1b | ||||
| EIA | Blood (plasma) | 14.8 (27; 1–5) | 100 | Shi et al. 2003 |
| Anti‐N protein antibodies |
Note: Tests reported in this table have been selected among those optimised and published within 2003, with respect of sample collection time comparability (day 1–5 after onset of symptoms). *values are copies/ml.
Abbreviation: NPA, nasopharyngeal aspirate
FIGURE 1Distribution of COVID‐19 commercialised tests under FIND evaluation. On the left, distribution by number of test type, at May 2020; on the right, data are updated at May 2021. A considerable number of rapid test (both for Ab and for Ag) development is observable, with a marked increment of Ag‐RDTs from May 2020 to May 2021