Public Health Emergency of International Concern (PHEIC) has Declared Twice in 2014; Polio and Ebola at the Top

Soghaier, Mohammed A.; Saeed, Khwaja Mir Islam; Zaman, Khushhal K.

doi:10.3934/publichealth.2015.2.218

Cited by 16 publications

(16 citation statements)

References 15 publications

(16 reference statements)

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“…35,53 Mobile phone data are particularly promising for analysing travel-related phenomena on a scale previously impossible, providing a 'big data' approach to understanding human mobility and its changes. [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Two types of mobile-based positioning data that have so far been increasingly explored in travel-related studies are call detail records (CDRs) and mobile location history.…”

Section: Measuring Human Mobility Using Mobile Phone Datamentioning

confidence: 99%

“…The pathogens introduced by travellers may lead to secondary transmission and local outbreaks, as has been observed in severe acute respiratory syndrome, influenza, Ebola, Zika, yellow fever and measles, among others, or to the appearance of diseases such as malaria in non-endemic areas following migration for work or travel to visit friends and relatives. [3][4][5][6][7][8][9][10][11][12][13] The spread of infectious diseases and their potential health risk in travellers has resulted in substantial concerns and challenges to global health systems and economies, [14][15][16][17] with a need to place more emphasis on understanding population mobility, infectious disease connectivity and the individual health risk of travellers.…”

Section: Introductionmentioning

confidence: 99%

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Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

Lai

Farnham

Ruktanonchai

et al. 2019

Journal of Travel Medicine

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Rationale for review:The increasing mobility of populations allows pathogens to move rapidly and far, making endemic or epidemic regions more connected to the rest of the world than at any time in history. However, the ability to measure and monitor human mobility, health risk and their changing patterns across spatial and temporal scales using traditional data sources has been limited. To facilitate a better understanding of the use of emerging mobile phone technology and data in travel medicine, we reviewed relevant work aiming at measuring human mobility, disease connectivity and health risk in travellers using mobile geopositioning data. Key findings:Despite some inherent biases of mobile phone data, analysing anonymized positions from mobile users could precisely quantify the dynamical processes associated with contemporary human movements and connectivity of infectious diseases at multiple temporal and spatial scales. Moreover, recent progress in mobile health (mHealth) technology and applications, integrating with mobile positioning data, shows great potential for innovation in travel medicine to monitor and assess real-time health risk for individuals during travel. Conclusions:Mobile phones and mHealth have become a novel and tremendously powerful source of information on measuring human movements and origin-destination-specific risks of infectious and non-infectious health issues. The high penetration rate of mobile phones across the globe provides an unprecedented opportunity to quantify human mobility and accurately estimate the health risks in travellers. Continued efforts are needed to establish the most promising uses of these data and technologies for travel health.

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Section: Measuring Human Mobility Using Mobile Phone Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

Lai

Farnham

Ruktanonchai

et al. 2019

Journal of Travel Medicine

View full text Add to dashboard Cite

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“…Severe Acute Respiratory Syndrome Corona-Virus 2 (SARS-CoV-2) is currently a considerable infectious worldwide disease. Corona-virus 2019 (COVID- 19), which was caused by a virus named SARS-CoV-2, was very first apprised in Wuhan, China in December 2019 and later in many parts all over the world; on 3 January 2020, the World Health Organization declared that COVID-19 is a Public Health Emergency of International Concern (PHEIC), and confirmed it as an epidemic on 11 March 2020 [1]. This disease has been accounted for in 216 countries and regions all around from 16 May 2020.…”

Section: Introductionmentioning

confidence: 99%

Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions

Alafif

Tehame

Bajaba

et al. 2021

IJERPH

120

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With many successful stories, machine learning (ML) and deep learning (DL) have been widely used in our everyday lives in a number of ways. They have also been instrumental in tackling the outbreak of Coronavirus (COVID-19), which has been happening around the world. The SARS-CoV-2 virus-induced COVID-19 epidemic has spread rapidly across the world, leading to international outbreaks. The COVID-19 fight to curb the spread of the disease involves most states, companies, and scientific research institutions. In this research, we look at the Artificial Intelligence (AI)-based ML and DL methods for COVID-19 diagnosis and treatment. Furthermore, in the battle against COVID-19, we summarize the AI-based ML and DL methods and the available datasets, tools, and performance. This survey offers a detailed overview of the existing state-of-the-art methodologies for ML and DL researchers and the wider health community with descriptions of how ML and DL and data can improve the status of COVID-19, and more studies in order to avoid the outbreak of COVID-19. Details of challenges and future directions are also provided.

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“…The GHS principles are to protect the population from the health emergencies or the outbreaks in fragile health systems during conflicts or natural disasters that can cross the borders and can lead to public health emergencies of international concern that threats all the world 33,34 . Furthermore, the health security agendas in the NHS were not prepared for the conflicts and outbreaks, and lack of support of the central laboratories in the country, which is considered as one of the gaps in this NHS for Yemen.…”

Section: Discussionmentioning

confidence: 99%

The impact of the fragile health system on the implementation of health policies in Yemen

Hussein

Dureab

Al-Waziza³

et al. 2020

Preprint

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The on-going humanitarian crisis in Yemen is one of the worst in the world, with more than14 million people in acute need. The conflict in Yemen deteriorated the already fragile health system and lead to the collapse of more than half of the health facilities. Health system fragmentation is also a problem in Yemen, which is complicated by the existence of two health ministries with different strategies. The aim of this study is to evaluate the effect of health system fragmentation on the implementation of health policies in Yemen across the global agendas of Universal Health Coverage (UHC), Health Security (GHS) and Health Promotion (HP) in the context of WHO priorities achieving universal health coverage, addressing health emergencies and promoting healthier populations. Methods The study is qualitative research using key informant in-depth interviews and documents analysis. Results There are many health stakeholders in Yemen, including the public, private, and NGO sectors - each with different priorities and interests, which did not always align with national policies and strategies. The WHO and Ministry of Public Health and Population (MoPHP) are the main supporters to implement all policies related to the UHC, GHS and HP agendas. Interestingly, initiatives initially pursuing a health security approach to control the cholera epidemic realigned with the UHC concept and moved from an initial focus on health security, to propose a minimum health service package, a classical UHC intervention. Overall, Universal Health Coverage is the most adapted agenda, health security agendas were highly disrupted due to conflicts and health staffs were caught unprepared for emerging outbreaks. The health promotion agenda was largely ignored. Conclusion Restoring peace, building on synergies between the three health agendas through joint planning between the MoPHP and other health actors are highly recommended.

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Public Health Emergency of International Concern (PHEIC) has Declared Twice in 2014; Polio and Ebola at the Top

Cited by 16 publications

References 15 publications

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions

The impact of the fragile health system on the implementation of health policies in Yemen

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