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1.
PLoS One ; 18(10): e0286199, 2023.
Article in English | MEDLINE | ID: mdl-37851661

ABSTRACT

Since 8th March 2020 up to the time of writing, we have been producing near real-time weekly estimates of SARS-CoV-2 transmissibility and forecasts of deaths due to COVID-19 for all countries with evidence of sustained transmission, shared online. We also developed a novel heuristic to combine weekly estimates of transmissibility to produce forecasts over a 4-week horizon. Here we present a retrospective evaluation of the forecasts produced between 8th March to 29th November 2020 for 81 countries. We evaluated the robustness of the forecasts produced in real-time using relative error, coverage probability, and comparisons with null models. During the 39-week period covered by this study, both the short- and medium-term forecasts captured well the epidemic trajectory across different waves of COVID-19 infections with small relative errors over the forecast horizon. The model was well calibrated with 56.3% and 45.6% of the observations lying in the 50% Credible Interval in 1-week and 4-week ahead forecasts respectively. The retrospective evaluation of our models shows that simple transmission models calibrated using routine disease surveillance data can reliably capture the epidemic trajectory in multiple countries. The medium-term forecasts can be used in conjunction with the short-term forecasts of COVID-19 mortality as a useful planning tool as countries continue to relax public health measures.


Subject(s)
COVID-19 , Epidemics , Humans , COVID-19/epidemiology , Retrospective Studies , SARS-CoV-2 , Time , Forecasting
2.
Lancet Infect Dis ; 23(9): e383-e388, 2023 09.
Article in English | MEDLINE | ID: mdl-37150186

ABSTRACT

Novel data and analyses have had an important role in informing the public health response to the COVID-19 pandemic. Existing surveillance systems were scaled up, and in some instances new systems were developed to meet the challenges posed by the magnitude of the pandemic. We describe the routine and novel data that were used to address urgent public health questions during the pandemic, underscore the challenges in sustainability and equity in data generation, and highlight key lessons learnt for designing scalable data collection systems to support decision making during a public health crisis. As countries emerge from the acute phase of the pandemic, COVID-19 surveillance systems are being scaled down. However, SARS-CoV-2 resurgence remains a threat to global health security; therefore, a minimal cost-effective system needs to remain active that can be rapidly scaled up if necessary. We propose that a retrospective evaluation to identify the cost-benefit profile of the various data streams collected during the pandemic should be on the scientific research agenda.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , SARS-CoV-2 , Pandemics/prevention & control , Retrospective Studies , Data Collection
4.
Emerg Infect Dis ; 28(5): 1074-1076, 2022 05.
Article in English | MEDLINE | ID: mdl-35447070

ABSTRACT

Hepatitis E virus is a common cause of acute viral hepatitis. We analyzed reports of hepatitis E outbreaks among forcibly displaced populations in sub-Saharan Africa during 2010-2020. Twelve independent outbreaks occurred, and >30,000 cases were reported. Transmission was attributed to poor sanitation and overcrowding.


Subject(s)
Hepatitis E virus , Hepatitis E , Refugees , Africa South of the Sahara/epidemiology , Disease Outbreaks , Hepatitis E/epidemiology , Hepatitis E virus/genetics , Humans
6.
NPJ Digit Med ; 4(1): 73, 2021 Apr 16.
Article in English | MEDLINE | ID: mdl-33864009

ABSTRACT

Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical model to quantify spatial heterogeneity in the risk of spread of an outbreak and to forecast short term incidence trends. The model was applied retrospectively to data collected by ProMED and HealthMap during the 2013-2016 West African Ebola epidemic and for comparison, to WHO data. Using ProMED and HealthMap data, the model was able to robustly quantify the risk of disease spread 1-4 weeks in advance and for countries at risk of case importations, quantify where this risk comes from. Our study highlights that ProMED and HealthMap data could be used in real-time to quantify the spatial heterogeneity in risk of spread of an outbreak.

7.
Article in English | MEDLINE | ID: mdl-33609786

ABSTRACT

BACKGROUND: Though women increasingly make up the majority of medical-school and other science graduates, they remain a minority in academic biomedical settings, where they are less likely to hold leadership positions or be awarded research funding. A major factor is the career breaks that women disproportionately take to see to familial duties. They experience a related, but overlooked, hurdle upon their return: they are often too old to be eligible for 'early-career researcher' grants and 'career-development' awards, which are stepping stones to leadership positions in many institutions and which determine the demographics of their hierarchies for decades to come. Though age limits are imposed to protect young applicants from more experienced seniors, they have an unintended side effect of excluding returning workers, still disproportionately women, from the running. METHODS: In this joint effort by the European Society of Clinical Microbiology and Infectious Diseases, the Federation of European Microbiological Societies, the Infectious Disease Society of America, the International Society for Infectious Diseases and the Swiss Society for Infectious Diseases, we invited all European Congress of Clinical Microbiology and Infectious Diseases-affiliated medical societies and funding bodies to participate in a survey on current 'early-career' application restrictions and measures taken to provide protections for career breaks. RECOMMENDATIONS: The following simple consensus recommendations are geared to funding bodies, academic societies and other organizations for the fair handling of eligibility for early-career awards: 1. Apply a professional, not physiological, age limit to applicants. 2. State clearly in the award announcement that career breaks will be factored into applicants' evaluations such that: • Time absent is time extended: for every full-time equivalent of career break taken, the same full-time equivalent will be extended to the professional age limit. • Opportunity costs will also be taken into account: people who take career breaks risk additional opportunity costs, with work that they did before the career break often being forgotten or poorly documented, particularly in bibliometric accounting. Although there is no standardized metric to measure additional opportunity costs, organizations should (a) keep in mind their existence when judging applicants' submissions, and (b) note clearly in the award announcement that opportunity costs of career breaks are also taken into account. 3. State clearly that further considerations can be undertaken, using more individualized criteria that are specific to the applicant population and the award in question. The working group welcomes feedback so that these recommendations can be improved and updated as needed.

8.
Int J Infect Dis ; 102: 103-109, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33002614

ABSTRACT

OBJECTIVES: The protracted and violent conflict in Syria has resulted in large-scale displacement of people and destruction of health and sanitation infrastructure. The aim of this study was to examine epidemiological trends in vector-borne disease (VBD) outbreaks before and following the onset of the Syrian conflict (2011). METHODS: ProMED, a digital disease surveillance tool, was queried for VBD outbreak reports affecting humans and animals in Syria and select bordering countries between 2003 and 2018. Data were normalized by dividing the number of unique VBD events by the total number of unique outbreak events reported by ProMED for each year. Suspected and confirmed case counts and deaths were manually extracted. RESULTS: Reports on VBDs increased from a mean of 2.9/year pre-2011 to 12.8/year post-2011, a 343.5% (p < 0.05) increase. After normalization, reports increased by 485.5% (p < 0.05) over the time periods. Post-2011, the most commonly reported VBDs were leishmaniasis, Crimean-Congo hemorrhagic fever, and lumpy skin disease. Reported numbers of suspected and confirmed cases and deaths increased during the conflict period. CONCLUSIONS: VBD outbreak events in ProMED increased in Syria and select bordering countries after the onset of the Syrian conflict in 2011. Enhanced disease surveillance is critical to detect and manage outbreaks in conflict settings.


Subject(s)
Disease Outbreaks , Hemorrhagic Fever, Crimean/epidemiology , Leishmaniasis/epidemiology , Lumpy Skin Disease/epidemiology , Vector Borne Diseases/epidemiology , Animals , Cattle , Humans , Syria/epidemiology
9.
Confl Health ; 14: 49, 2020.
Article in English | MEDLINE | ID: mdl-32704307

ABSTRACT

BACKGROUND: The United Nations Refugee Agency (UNHCR) estimates the number of forcibly displaced people increased from 22.7 million people in 1996 to 67.7 million people in 2016. Human mobility is associated with the introduction of infectious disease pathogens. The aim of this study was to describe the range of pathogens in forcibly displaced populations over time using an informal event monitoring system. METHODS: We conducted a retrospective analysis of ProMED, a digital disease monitoring system, to identify reports of outbreak events involving forcibly displaced populations between 1996 and 2016. Number of outbreak events per year was tabulated. Each record was assessed to determine outbreak location, pathogen, origin of persons implicated in the outbreak, and suspected versus confirmed case counts. RESULTS: One hundred twenty-eight independent outbreak events involving forcibly displaced populations were identified. Over 840,000 confirmed or suspected cases of infectious diseases such as measles, cholera, cutaneous leishmaniasis, dengue, and others were reported in 48 destination countries/territories. The average rate of outbreak events concerning forcibly displaced persons per total number of reports published on ProMED per year increased over time. The majority of outbreak events (63%) were due to acquisition of disease in the destination country. CONCLUSION: This study found that reports of outbreak events involving forcibly displaced populations have increased in ProMED. The events and outbreaks detected in this retrospective review underscore the importance of capturing displaced populations in surveillance systems for rapid detection and response.

10.
PLoS One ; 15(4): e0230967, 2020.
Article in English | MEDLINE | ID: mdl-32315312

ABSTRACT

BACKGROUND: Media reporting on communicable diseases has been demonstrated to affect the perception of the public. Communicable disease reporting related to foreign-born persons has not yet been evaluated. OBJECTIVE: Examine how political leaning in the media affects reporting on tuberculosis (TB) in foreign-born persons. METHODS: HealthMap, a digital surveillance platform that aggregates news sources on global infectious diseases, was used. Data was queried for media reports from the U.S. between 2011-2019, containing the term "TB" or "tuberculosis" and "foreign born", "refugee (s)," or "im (migrants)." Reports were reviewed to exclude duplicates and non-human cases. Each media source was rated using two independent media bias indicators to assess political leaning. Forty-six non-tuberculosis reports were randomly sampled and evaluated as a control. Two independent reviewers performed sentiment analysis on each report. RESULTS: Of 891 TB-associated reports in the US, 46 referenced foreign-born individuals, and were included in this analysis. 60.9% (28) of reports were published in right-leaning news media and 6.5% (3) of reports in left-leaning media, while 39.1% (18) of the control group reports were published in left- leaning media and 10.9% (5) in right-leaning media (p < .001). 43% (20) of all study reports were posted in 2016. Sentiment analysis revealed that right-leaning reports often portrayed foreign-born persons negatively. CONCLUSION: Preliminary data from this pilot suggest that political leaning may affect reporting on TB in US foreign-born populations. Right-leaning news organizations produced the most reports on TB, and the majority of these reports portrayed foreign-born persons negatively. In addition, the control group comprised of non-TB, non-foreign born reports on communicable diseases featured a higher percentage of left-leaning news outlets, suggesting that reporting on TB in foreign-born individuals may be of greater interest to right-leaning outlets. Further investigation both in the U.S. and globally is needed.


Subject(s)
Emigrants and Immigrants , Mass Media , Politics , Tuberculosis/epidemiology , Epidemiological Monitoring , Humans , Pilot Projects , Prejudice , Public Opinion , United States/epidemiology
11.
Health Secur ; 17(4): 268-275, 2019.
Article in English | MEDLINE | ID: mdl-31433279

ABSTRACT

Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions when outbreaks occur. Challenges and recent advances in predictive modeling are discussed here. We identified data needs in the areas of epidemic surveillance, mobility, host and environmental susceptibility, pathogen transmissibility, population density, and healthcare capacity. Constraints in standardized case definitions and timely data sharing can limit the precision of predictive models. Resource-limited settings present particular challenges for accurate epidemic forecasting due to the lack of granular data available. Incorporating novel data streams into modeling efforts is an important consideration for the future as technology penetration continues to improve on a global level. Recent advances in machine-learning, increased collaboration between modelers, the use of stochastic semi-mechanistic models, real-time digital disease surveillance data, and open data sharing provide opportunities for refining forecasts for future epidemics. Epidemic forecasting using predictive modeling is an important tool for outbreak preparedness and response efforts. Despite the presence of some data gaps at present, opportunities and advancements in innovative data streams provide additional support for modeling future epidemics.


Subject(s)
Disease Outbreaks , Epidemics , Forecasting , Machine Learning , Models, Statistical , Population Surveillance , Data Collection , Humans , Public Health
13.
Int J Infect Dis ; 84: 48-53, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31051276

ABSTRACT

BACKGROUND: The purpose of this study was to identify global trends in Listeria monocytogenes epidemiology using ProMED reports. ProMED is a publicly available, global outbreak reporting system that uses both informal and formal sources. In the context of Listeria, ProMED reports on atypical findings such as higher than average case counts, events from unusual sources, and multinational outbreaks. METHODS: Keywords "Listeria" and "listeriosis" were utilized in the ProMED search engine covering the years 1996-2018. Issue date, countries involved, source, suspected and confirmed case counts, and fatalities were extracted. Data unique to each event, including commentary by content experts, were evaluated. When multiple reports regarding the same outbreak or recall were obtained, the last report pertaining to that outbreak was utilized. Rates of Listeria events over time were compared using a normal approximation to the Poisson distribution; p < 0.05 was considered to be statistically significant. RESULTS: From 1996 through 2018, 123 Listeria events were identified in the ProMED database. Eighty-one events (65%) were associated with two or more human cases (outbreak events), 13 events (11%) were associated with only one human case (sporadic cases), and 29 events (24%) were precautionary food product recalls due to the presence of bacterial contamination without associated human cases. The implicated food vehicle was identified in 69 (85%) outbreak events and in 10 (77%) sporadic case events. Listeria contaminated foods were identified in all precautionary recall events. Overall, 28 events (23%) implicated novel food vehicles/sources. Events associated with novel food vehicles increased over the study period (p < 0.02), as did international events with more than one country involved (p < 0.02). Ten reports (8%) described hospital-acquired events. CONCLUSIONS: This study demonstrates the use of publicly available data to document Listeria epidemiological trends, particularly in settings where foodborne disease surveillance is weak or non-existent. Over the last decade, an increasing number of events have been associated with foods not traditionally recognized as vehicles for Listeria transmission, and a rise in international events was noted. Informing high-risk individuals such as pregnant women and immunocompromised individuals of safe food handling practices is warranted. To ensure timely recall of contaminated food products, open data sharing and communication across borders is critical. Changes in food production and distribution, and improved diagnostics may have contributed to the observed changes.


Subject(s)
Disease Outbreaks , Listeriosis/epidemiology , Female , Food Handling , Foodborne Diseases/epidemiology , Humans , Listeria monocytogenes , Male , Pregnancy
14.
Int J Infect Dis ; 82: 54-60, 2019 May.
Article in English | MEDLINE | ID: mdl-30794941

ABSTRACT

OBJECTIVE: The Guide to Infection Control in the Hospital (Guide) is an open access resource produced by the International Society for Infectious Diseases (ISID) to assist in the prevention of infection acquisition and transmission worldwide. A survey was distributed to 8055 current Guide users to understand their needs. METHODS: The survey consisted of 48-questions regarding infection prevention and control (IPC) availability and needs. Dichotomous questions, Likert scale-type questions, and open-and closed-ended questions were used. RESULTS: Respondents (n=1121) from 194 countries and six WHO regions participated in the survey. 43% (488) identified as physicians. Personal protective equipment (PPE) availability, training, and antimicrobial susceptibility testing varied between regions. Only 11% of respondents from low-income countries reported consistent access to respiratory equipment, 12% to isolation gowns, 4% to negative pressure rooms or personnel trained in IPC, and 20% to antimicrobial resistance testing. This differed significantly to high and upper middle-income resource settings (p<0.05). 80% of all respondents used smartphones or tablets at the workplace. CONCLUSIONS: This survey demonstrates varied access to IPC equipment and training between high and low-income settings worldwide. Our results demonstrated many respondents across all regions utilize mobile technology, providing opportunities for rapid distribution of resource specific, up-to-date IPC content.


Subject(s)
Global Health/education , Health Resources/statistics & numerical data , Infection Control , Cell Phone , Cross-Sectional Studies , Developing Countries , Drug Resistance, Microbial , Health Services Research , Hospitals , Humans , Surveys and Questionnaires
16.
Bull World Health Organ ; 96(5): 327-334, 2018 May 01.
Article in English | MEDLINE | ID: mdl-29875517

ABSTRACT

OBJECTIVE: To describe a crowdsourced disease surveillance project (EpiCore) and evaluate its usefulness in obtaining information regarding potential disease outbreaks. METHODS: Volunteer human, animal and environmental health professionals from around the world were recruited to EpiCore and trained to provide early verification of health threat alerts in their geographical region via a secure, easy-to-use, online platform. Experts in the area of emerging infectious diseases sent requests for information on unverified health threats to these volunteers, who used local knowledge and expertise to respond to requests. Experts reviewed and summarized the responses and rapidly disseminated important information to the global health community through the existing event-based disease surveillance network, ProMED. FINDINGS: From March 2016 to September 2017, 2068 EpiCore volunteers from 142 countries were trained in methods of informal disease surveillance and use of the EpiCore online platform. These volunteers provided 790 individual responses to 759 requests for information addressing unverified health threats in 112 countries; 361 (45%) responses were considered to be useful. Most responses were received within hours of the requests. The responses led to 194 ProMED posts, of which 99 (51%) supported verification of an outbreak, were published on ProMED and sent to over 87 000 subscribers. CONCLUSION: There is widespread willingness among health professionals around the world to voluntarily assist efforts to verify and provide supporting information on unconfirmed health threats in their region. By linking this member network of health experts through a secure online reporting platform, EpiCore enables faster global outbreak detection and reporting.


Subject(s)
Communicable Diseases, Emerging/epidemiology , Disease Outbreaks , Epidemiological Monitoring , Global Health , Population Surveillance/methods , Public Health , Animals , Child , Female , Humans , Male , Prospective Studies , United States
18.
Int J Infect Dis ; 65: 93-97, 2017 Dec.
Article in English | MEDLINE | ID: mdl-29017856

ABSTRACT

A hackathon is best described as an 'innovation marathon'. Derived from the words 'hacking' and 'marathon', it brings together multidisciplinary teams to collaborate intensely over a short period of time to define a problem, devise a solution, and design a working prototype. International scientific meetings are conducive to successful hackathons, providing an audience of expert professionals who describe challenges and ensure the proposed solutions address end-user needs. Collaborations with local organizations and academic centers are crucial to attracting complementary specialties such as IT advisors, engineers, and entrepreneurs to develop sustainable projects. The core process of first identifying and deconstructing a problem followed by solution iteration is applicable to challenges at workplaces around the world. Ultimately, this model can be used to drive innovation and catalyze change in the global health community. The planning, execution, and outcomes of a hackathon event organized in conjunction with the International Meeting on Emerging Diseases and Surveillance (IMED 2016) are described in this article. Physicians, public health practitioners, veterinarians, IT professionals, engineers, and entrepreneurs came together for 2days to develop solutions at the intersection of emerging infectious diseases and climate change. Projects that resulted from the IMED 2016 Hackathon included environmental impact assessment software for humanitarian organization relief efforts; enhanced communication tools to prevent disease outbreaks; a participatory mobile application to speed the elimination of rabies in Indonesia; integrated disease surveillance platforms; and an improved search function for infectious disease outbreak reports in the ProMED-mail network.


Subject(s)
Communicable Diseases, Emerging/epidemiology , Communicable Diseases, Emerging/therapy , Disease Outbreaks , Academies and Institutes , Climate Change , Global Health , Humans , Information Systems/organization & administration , Information Systems/standards , Interdisciplinary Communication , Public Health , Software Design
19.
Clin Infect Dis ; 65(suppl_1): S70-S73, 2017 Aug 15.
Article in English | MEDLINE | ID: mdl-28859343

ABSTRACT

Through digital resources, physicians, microbiologists, and researchers around the world can stay up-to-date with the newest developments in their field and are therefore less dependent on medical congresses as a provider of knowledge and education. The role of the medical congress in spreading knowledge in the face of this changing environment needs to be reexamined. The result is a new paradigm that thinks about the dissemination of medical knowledge and discovery as ongoing conversations between professionals and their extended networks, rather than activities that happen only during the congress. Even though the tools we use to deliver information and knowledge are rapidly evolving, there is confidence in the lasting value of meetings for medical professionals. Medical congresses are environments uniquely conducive to generating new ideas and solutions to problems. As organizers explore new ways of sharing knowledge globally, it is crucial that the high quality of medical congresses be maintained.


Subject(s)
Communicable Diseases , Congresses as Topic , Education, Medical, Continuing , Humans , Internationality
20.
Int J Infect Dis ; 57: 138-143, 2017 Apr.
Article in English | MEDLINE | ID: mdl-28216179

ABSTRACT

Hospital-acquired infections (HAIs) are a major concern to healthcare systems around the world. They are associated with significant morbidity and mortality, in addition to increased hospitalization costs. Recent outbreaks, including those caused by the Middle East respiratory syndrome coronavirus and Ebola virus, have highlighted the importance of infection control. Moreover, HAIs, especially those caused by multidrug-resistant Gram-negative rods, have become a top global priority. Although adequate approaches and guidelines have been in existence for many years and have often proven effective in some countries, the implementation of such approaches in low- and middle-income countries (LMICs) is often restricted due to limited resources and underdeveloped infrastructure. While evidence-based infection prevention and control (IPC) principles and practices are universal, studies are needed to evaluate simplified approaches that can be better adapted to LMIC needs, in order to guide IPC in practice. A group of experts from around the world attended a workshop held at the 17th International Congress on Infectious Diseases in Hyderabad, India in March 2016, to discuss the existing IPC practices in LMICs, and how best these can be improved within the local context.


Subject(s)
Infection Control , Cross Infection/epidemiology , Delivery of Health Care , Developing Countries , Disease Outbreaks , Health Resources , Humans , India , Poverty
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