Literature DB >> 31961311

Early Detection of Public Health Emergencies of International Concern through Undiagnosed Disease Reports in ProMED-Mail.

Camille Rolland, Clément Lazarus, Coralie Giese, Bastien Monate, Anne-Sophie Travert, Jérôme Salomon.   

Abstract

We conducted a retrospective analysis of all reports in ProMED-mail that were initially classified as undiagnosed diseases during 2007-2018. We identified 371 cases reported in ProMED-mail; 34% were later diagnosed. ProMED-mail could be used to supplement other undiagnosed disease surveillance systems worldwide.

Entities:  

Keywords:  Disease Outbreak News; ProMED-mail; World Health Organization; early detection; emerging infectious diseases; global health; health security; international health regulations; outbreaks; public health emergencies of international concern; surveillance; undiagnosed diseases

Mesh:

Year:  2020        PMID: 31961311      PMCID: PMC6986859          DOI: 10.3201/eid2602.191043

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


To preserve human health security, a global surveillance system able to rapidly detect, verify, and assess burgeoning outbreaks is key. The World Health Organization (WHO) International Health Regulations (2005) () provides an international and legally binding framework for the early detection of, reporting of, and response to any public health threat (e.g., infectious disease outbreaks) that might be of international concern using an all-hazards approach (). Event-based surveillance through informal sources now represents a critical source for epidemic intelligence (). Almost all major outbreaks during 1994–2017 investigated by the WHO were early reported and identified through informal sources (–). One of the most valued, internationally acknowledged sources for epidemic intelligence activities that is also available as an open source is ProMED-mail (,). By relying on local media, professional networks, and on-the-ground experts, ProMED-mail staff produce reports on occurrences of emerging infectious diseases and outbreaks in near real-time. Specialist moderators curate these reports and provide subject matter expert commentaries. ProMED-mail captures many reports of undiagnosed diseases (i.e., reports of public health events for which the diagnosis has not yet been found or reported by field professionals and cannot be classified). Events in these reports take place all around the world, and reports are provided without enough information to formulate a comprehensive risk assessment. Even though an undiagnosed disease report in ProMED-mail might be an early signal of a major future event (e.g., outbreak), such reports have not been described in the literature. In this study, we aimed to provide a descriptive analysis of reports of undiagnosed disease events related to human health published on ProMED-mail since 2007 to determine whether these reports should be considered in further risk assessments.

The Study

We conducted a retrospective analysis of all reports of undiagnosed diseases in the ProMED-mail registry that were published during January 1, 2007–June 14, 2018 (Figure 1). ProMED-mail staff provided all the archives for undiagnosed diseases and unknown diseases relative to humans, animals, and plants. We also collected data directly from Disease Outbreak News on the WHO website (https://www.who.int/csr/don/archive/country) for the period of the study; these data are also open access and disseminated as specified by Article 11 of the International Health Regulations (2005). From ProMED-mail reports, we collected data on case location (WHO zone), source of information, date of publication, number of cases, geographic distribution (i.e., regional, national, or international) of cases, affected population, and final diagnosis. We searched the WHO website for the existence of a related Disease Outbreak News report. We sought information on the confirmation (i.e., biologic confirmation) of the final diagnosis both in subsequent ProMED-mail reports and in Disease Outbreak News reports. When several notifications were linked to 1 undiagnosed disease event, we made the link between notifications using the date of occurrence and location data. We described quantitative variables using median and range and qualitative variables using percentages.
Figure 1

Selection of ProMED-mail reports to analyze for undiagnosed disease events related to human health, January 1, 2007–December 30, 2017.

Selection of ProMED-mail reports to analyze for undiagnosed disease events related to human health, January 1, 2007–December 30, 2017. During January 1, 2007–June 14, 2018, a total of 775 ProMED-mail reports accounted for 371 individual undiagnosed disease events in humans (Figure 1). The median number of undiagnosed disease events per year was 34 (range 15–45) (Figure 2). The sources of these reports were mainly the national press (67%, 250/371); 25% (93/371) were from international media, and 8% (28/371) were from experts.
Figure 2

Undiagnosed disease events in humans posted on ProMED-mail, by location (World Health Organization zone), January 1, 2007–December 30, 2017. AFRO, African Regional Office; EMRO, Eastern Mediterranean Regional Office; EURO, Europe Regional Office; PAHO, Pan American Health Organization; SEARO, South-East Asia Regional Office; WPRO, Western Pacific Regional Office.

Undiagnosed disease events in humans posted on ProMED-mail, by location (World Health Organization zone), January 1, 2007–December 30, 2017. AFRO, African Regional Office; EMRO, Eastern Mediterranean Regional Office; EURO, Europe Regional Office; PAHO, Pan American Health Organization; SEARO, South-East Asia Regional Office; WPRO, Western Pacific Regional Office. The countries most affected by undiagnosed diseases were India (68/371), Sudan (20/371), Bangladesh (16/371), Nepal (15/371), China (14/371), the Democratic Republic of the Congo (13/371), Uganda (13/371), the United States (13/371), Vietnam (11/371), and Nigeria (9/371) (Appendix Figure). Overall, 44% of undiagnosed disease events were in rural areas and 56% were in urban areas; 8% (31/371) took place within a capital city. For 54% (200/371) of undiagnosed disease events, no specific population (e.g., children <18 years of age, persons >65 years of age, health professionals) was identified. For 2.4% (9/371) of undiagnosed disease events, healthcare professionals were affected. We found a Disease Outbreak News report for 6.5% (24/371) of the undiagnosed disease events described in ProMED-mail. The median delay between the first ProMED-mail notification and the Disease Outbreak News publication was 18.5 (range –1 to 254) days (Table).
Table

Characteristics of the 24 undiagnosed disease events posted on ProMED-mail that were also published in Disease Outbreak News, 2007–2018*

ProMED-mail diagnosis dateCountryWHO zoneDiagnosisPublication date Period, d†
2007 Sep 1DRCAFROEbola2007 Aug 31–1
2007 Nov 9AngolaAFROBromide poisoning2007 Nov 167
2008 Mar 8SenegalAFROLead poisoning2008 Jun 28112
2008 Jun 23SenegalAFROLead poisoning2008 Jun 285
2008 Aug 21ChinaWPROPowder milk intoxication2008 Sep 1828
2008 Oct 5South AfricaAFROLassa fever2008 Oct 105
2008 Oct 9DRCAFROEbola2008 Dec 2678
2008 Dec 22DRCAFROEbola2008 Dec 264
2010 Sep 27PakistanEMROCrimean-Congo hemorrhagic fever2010 Oct 2528
2011 Aug 16AngolaAFROUndiagnosed disease2011 Aug 15–1
2012 Jul 4CambodiaWPROHand, foot and mouth disease2012 Jul 40
2012 Jul 25UgandaAFROEbola2012 Jul 272
2012 Aug 2UgandaAFROEbola2012 Aug 31
2012 Dec 23SudanEMROYellow fever2012 Nov 13–41
2014 Feb 24USAPAHOHuman enterovirus infection2014 Sep 17205
2015 Feb 9BrazilPAHOZika virus infection2015 Oct 21254
2015 Jul 20EgyptEMRODengue fever2015 Nov 12115
2015 Aug 15EgyptEMRODengue fever2015 Nov 1290
2015 Sep 5SenegalAFROChikungunya2015 Sep 149
2016 Jun 25South SudanEMROUndiagnosed disease2016 May 19–38
2016 Jan 22AngolaAFROYellow fever2016 Feb 1221
2017 Mar 8NigeriaAFROMeningitis2017 Mar 24 16
2017 Apr 26LiberiaAFROMeningitis2017 May 59
2018 Jan 7KenyaAFROChikungunya2018 Feb 2751

*AFRO, African Regional Office; DRC, Democratic Republic of the Congo; EMRO, Eastern Mediterranean Regional Office; PAHO, Pan American Health Organization; WHO, World Health Organization; WPRO, Western Pacific Regional Office.
†Time between notification on ProMED-mail and official publication in Disease Outbreak News (https://www.who.int/csr/don/archive/country). Negative numbers indicate publication in Disease Outbreak News first.

*AFRO, African Regional Office; DRC, Democratic Republic of the Congo; EMRO, Eastern Mediterranean Regional Office; PAHO, Pan American Health Organization; WHO, World Health Organization; WPRO, Western Pacific Regional Office.
†Time between notification on ProMED-mail and official publication in Disease Outbreak News (https://www.who.int/csr/don/archive/country). Negative numbers indicate publication in Disease Outbreak News first. A final diagnosis was found for 34% (127/371) of undiagnosed disease events (Appendix Table). Among the 127 events for which a final diagnosis could be determined, the most frequent diseases were chikungunya (6/127), leptospirosis (6/127), Nipah virus infection (6/127), Ebola (5/127), meningitis (5/127), yellow fever (5/127), anthrax (4/127), Crimean-Congo hemorrhagic fever (4/127), and nodding disease (4/127). Undiagnosed diseases might be reported in various medical situations. They often occur in cases of delayed diagnosis of common diseases when access to appropriate medical care or services (e.g., epidemiologic investigations, laboratory testing) is limited. As such, most undiagnosed disease events occurred within low-resource countries. Undiagnosed disease reports less frequently account for unusual or unexpected diseases, such as imported or emerging diseases. Reporting of undiagnosed diseases through ProMED-mail can be limited by climatic or geopolitical events in the region, which was probably reflected by the yearly and geographic variation in the reporting of undiagnosed disease events we observed. Although informal sources of public health information are valuable, the editorial content of the news sources the reports are based on can strongly limit their usefulness. Hence, our data analysis was limited by missing data.

Conclusions

The impact of ProMED-mail on the public health emergency preparedness response is reflected by the percentage of undiagnosed disease events published through this informal reporting system (6.5%) that were also shared internationally through WHO’s Disease Outbreak News website. Regions and countries could benefit from complementing their undiagnosed disease surveillance systems with ProMED-mail (). Using this approach would help further establish undiagnosed disease event-based monitoring as an invaluable public health tool. ProMED-mail provides critical content and an alternative to standard indicator-based outbreak reporting for undiagnosed diseases ().

Appendix

More information about early detection of public health emergencies of international concern through undiagnosed disease reports in ProMED-mail.
  6 in total

1.  Global surveillance of emerging diseases: the ProMED-mail perspective.

Authors:  J P Woodall
Journal:  Cad Saude Publica       Date:  2001       Impact factor: 1.632

Review 2.  ProMED-mail: 22 years of digital surveillance of emerging infectious diseases.

Authors:  Malwina Carrion; Lawrence C Madoff
Journal:  Int Health       Date:  2017-05-01       Impact factor: 2.473

Review 3.  Hot spots in a wired world: WHO surveillance of emerging and re-emerging infectious diseases.

Authors:  D L Heymann; G R Rodier
Journal:  Lancet Infect Dis       Date:  2001-12       Impact factor: 25.071

4.  Landscape of international event-based biosurveillance.

Authors:  Dm Hartley; Np Nelson; R Walters; R Arthur; R Yangarber; L Madoff; Jp Linge; A Mawudeku; N Collier; Js Brownstein; G Thinus; N Lightfoot
Journal:  Emerg Health Threats J       Date:  2010-02-19

5.  Rumors of disease in the global village: outbreak verification.

Authors:  T W Grein; K B Kamara; G Rodier; A J Plant; P Bovier; M J Ryan; T Ohyama; D L Heymann
Journal:  Emerg Infect Dis       Date:  2000 Mar-Apr       Impact factor: 6.883

Review 6.  Use of unstructured event-based reports for global infectious disease surveillance.

Authors:  Mikaela Keller; Michael Blench; Herman Tolentino; Clark C Freifeld; Kenneth D Mandl; Abla Mawudeku; Gunther Eysenbach; John S Brownstein
Journal:  Emerg Infect Dis       Date:  2009-05       Impact factor: 6.883

  6 in total
  2 in total

1.  Coronavirus infections reported by ProMED, February 2000-January 2020.

Authors:  D Katterine Bonilla-Aldana; Yeimer Holguin-Rivera; Isabella Cortes-Bonilla; María C Cardona-Trujillo; Alejandra García-Barco; Hugo A Bedoya-Arias; Ali A Rabaan; Ranjit Sah; Alfonso J Rodriguez-Morales
Journal:  Travel Med Infect Dis       Date:  2020-02-06       Impact factor: 6.211

2.  Linguistic Pattern-Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases-Mail Database: Algorithm Development Study.

Authors:  Yung-Chun Chang; Yu-Wen Chiu; Ting-Wu Chuang
Journal:  JMIR Public Health Surveill       Date:  2022-07-13
  2 in total

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