Machine learning for emerging infectious disease field responses.

Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very short time. Therefore, it is imperative to identify cases with risk of disease progression for the optimized allocation of medical resources in case medical facilities are overwhelmed with a flood of patients. This study has aimed to cope with this challenge from the aspect of preventive medicine by exploiting machine learning technologies. The study has been based on 83,227 hospital admissions with influenza-like illness and we analysed the risk effects of 19 comorbidities along with age and gender for severe illness or mortality risk. The experimental results revealed that the decision rules derived from the machine learning based prediction models can provide valuable guidelines for the healthcare policy makers to develop an effective vaccination strategy. Furthermore, in case the healthcare facilities are overwhelmed by patients with EID, which frequently occurred in the recent COVID-19 pandemic, the frontline physicians can incorporate the proposed prediction models to triage patients suffering minor symptoms without laboratory tests, which may become scarce during an EID disaster. In conclusion, our study has demonstrated an effective approach to exploit machine learning technologies to cope with the challenges faced during the outbreak of an EID.

Knowledge and preventive practices towards COVID-19 among pregnant women seeking antenatal services in Northern Ghana.

BACKGROUND: COVID-19 is a novel respiratory disease associated with severe morbidity and high mortality in the elderly population and people with comorbidities. Studies have suggested that pregnant women are more susceptible to COVID-19 compared to non-pregnant women. However, it's unclear whether pregnant women in Ghana are knowledgeable about COVID-19 and practice preventive measures against it. This study sought to assess the knowledge and preventive practices towards COVID-19 among pregnant women seeking antenatal services in Northern Ghana. METHODS: A cross-sectional study was conducted using a structured questionnaire in the Nabdam district in Ghana. A total of 527 pregnant women were randomly sampled from health facilities offering antenatal care services in the district. Multivariable logistic regression analysis was used to assess the association between the predictors and outcome variables. RESULTS: The prevalence of adequate knowledge and good COVID-19 preventive practices were 85.6%, (95% CI: 82.57, 88.59) and 46.6%, (95% CI: 42.41, 50.95) respectively. Having at least a primary education, residing in an urban area, and receiving COVID-19 education at a health facility were positively associated with adequate knowledge on COVID-19. Factors positively associated with good COVID-19 preventive practices were older age, having at least a primary education, pregnant women with a chronic disease, and living in an urban area. Multiparity was negatively associated with good COVID-19 preventive practices. CONCLUSION: Although majority of women had adequate knowledge of COVID-19, less than half of them were engaged in good COVID-19 preventive practices. Education of pregnant women on COVID-19 preventive practices should be intensified at health facilities while improving upon the water, sanitation and hygiene need particularly in rural communities.

The barriers and enablers to downloading the COVIDSafe app - a topic modelling analysis.

OBJECTIVE: We report a survey in regional Queensland to understand the reasons for suboptimal uptake of the COVIDSafe app. METHODS: A short five-minute electronic survey disseminated to healthcare professionals, mining groups and school communities in the Central Queensland region. Free text responses and their topics were modelled using natural language processing and a latent Dirichlet model. RESULTS: We received a total of 723 responses; of these, 69% had downloaded the app and 31% had not. The respondents' reasons for not downloading the app were grouped under four topics: lack of perceived risk of COVID-19/lack of perceived need and privacy issues; phone-related issues; tracking and misuse of data; and trust, security and credibility. Among the 472 people who downloaded the app and provided text amenable to text mining, the two topics most commonly listed were: to assist with contact tracing; and to return to normal. CONCLUSIONS: This survey of a regional population found that lack of perceived need, concerns around privacy and technical difficulties were the major barriers to users downloading the application. Implications for public health: Health promotion campaigns aimed at increasing the uptake of the COVIDSafe app should focus on promoting how the app will assist with contact tracing to help return to 'normal'. Additionally, health promotors should address the app's impacts on privacy, people's lack of perceived need for the app and technical barriers.

COVID-19 Prevention Behaviors among Health Staff: Data from a Large Survey in the West of Iran.

BACKGROUND: Hospital staffs are at high risk of Novel Coronavirus (2019-nCoV preventive behaviors play a peculiar role in the reduction of the incidence and mortality of this infection. Therefore, the present study aimed to assess the prevention behaviors of COVID-19 among health staff based on the Extended Parallel Model (EPPM) in western Iran. STUDY DESIGN: It was a cross-sectional study. . METHODS: The present study was performed in the west of Iran in April 2020. In total, 1,664 cases were enrolled in this study via multi-stage sampling. The data were collected using a questionnaire, including the demographic characteristics of participants and EPPM constructs. All analyses were conducted in Stata software (version 14) at a 5% significant level. RESULTS: As evidenced by the obtained results,  1,523 (91.53%), 1,226 (73.68%), 1,526 (91.71%), 893 (53.67%), and 862 (51.86%) of health staff wear gloves, use masks, avoid contact with others, maintain a good distance from other people, and wash their hands frequently with water and soap, respectively. In terms of using gloves and avoiding contacts with others, participants with high perceived threat had higher odds of observing health behaviors (OR= 3.14, 95% CI: 2.08, 4.73; P<0.001) and (OR= 3.1, 95% CI: 2.04, 4.69; P<0.001), respectively. In all categories of EPPM, the participants with high efficacy had higher odds of exhibiting health behaviors, compared to those with low efficacy (P<0.001). CONCLUSION: The results of the present study demonstrated that  health workers are expected to be at the highest level of threat and efficiency. Moreover, the findings emphasized the effectiveness of the recommended strategies in the prevention of COVID-19 disease.

Iran COVID-19 Epidemiology Committee: A Review of Missions, Structures, Achievements, and Challenges.

BACKGROUND: Since the beginning of the coronavirus disease 2019 (COVID-19) epidemic in Iran, the control and management of the epidemic were headed by the National Headquarter for the Control of COVID-19 Epidemic through setting up different scientific committees, including the COVID-19 National Epidemiology Committee. The present study reviews the missions, structures, achievements, and challenges of the Epidemiology Committee. STUDY DESIGN: A rapid review . METHODS: All relevant reports, documents, guidelines, published literature, and surveillance data related to the establishment, visions, missions, roles, activities, and outputs of the COVID-19 Epidemiology Committee were critically reviewed in this study. RESULTS: The efforts of the committee's working groups may have impacted improvements in data registration/usage, provincial data quality at provincial levels, and perception of the epidemic situation in the provinces. The committees have also played role in informing the policies in different stages of the epidemic through routine or problem-based data/evidence analyses, epidemic investigations, and mathematical modeling. CONCLUSION: The structure and experience gained by the committee can be used in similar situations within and outside the country. To further improve the impacts of our activities, it is essential to have effective interaction, collaboration, and data flow between the committee and a broad range of organizations within and outside the Ministry of Health and Medical Education.

An Observational Study in Manipur State, India on Preventive Behavior Influenced by Social Media During the COVID-19 Pandemic Mediated by Cyberchondria and Information Overload.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload. METHODS: A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors' institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used. RESULTS: The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (ß=3.297; p<0.001) and awareness of infection when a family member tested positive (ß=29.082; p<0.001) or a neighbor tested positive (ß=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19. CONCLUSIONS: This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

Different Correlates of COVID-19-Related Adherent and Dysfunctional Safety Behavior.

Introduction: Safety behaviors are key elements in reducing the spread of the COVID-19 virus, but have also assumed excessive proportions in form of panic buying groceries. This raises the question whether these behaviors are independent or related to each other. Adherent safety behavior including increased hygiene and physical distancing appears inherently adherent and prosocial, while dysfunctional safety behavior such as panic buying most probably emerges from other motives and contextual variables. Methods: Data from 15,308 participants collected from March 10 to May 4, 2020, during the COVID-19 acute period in Germany, was analyzed to assess whether adherent and dysfunctional safety behavior are predicted by the same or divergent variables. Two multiple regression models are presented including various sociodemographic, trait, attitudinal, and COVID-19-specific variables as predictors. Results: Some variables similarly predict both, adherent and dysfunctional safety behavior. Yet, adherent safety behavior is stronger predicted by COVID-19-related fear than generalized anxiety, while a trend toward a reverse pattern emerged for dysfunctional safety behavior. Adherent safety behavior was also related to higher trust in governmental actions to face COVID-19, subjective level of information, as well as use of public media and TV to remain informed on COVID-19. Higher age was related to dysfunctional, but not adherent safety behavior. Respondents living in rural communities report more adherent safety behavior than urban dwellers. Discussion: Divergent psychological variables underlie adherent and dysfunctional safety behavior. This hints toward a theoretical separation with practical relevance in behavioral engineering and public health campaigning.