Real-Time Forecasting of COVID-19 Cases Using Human Mobility in Ontario, Canada

Non-governmental organisations (NGOs) regularly report data on their work with uninsured migrants (UM) within a (so-called) parallel health care system. The role and involvement of public authorities therein have yet been underrepresented in research. Our aim was to gain a better understanding of public authorities’ role in the parallel health care system and their view of the health situation of UM. We conducted qualitative semi-structured interviews with 12 experts recruited by purposive sampling from local public health authorities (LPHAs), state-level public health authorities (SPHAs), and social services offices (SSO) in nine cities, recorded, transcribed, and subjected the data to qualitative content analysis. LPHAs are more often directly involved in providing medical services, while SSOs and SPHAs function as gatekeepers for access to social benefits, including health insurance, and in grant-funded projects. NGOs keep substituting for the lack of access to regular health care from public institutions, but even in settings with extended services, public authorities and NGOs have not been able to provide sufficient care through the parallel health care system: Experts report gaps in the provision of health care with respect to the depth and height of coverage, due to the fragmentation of services and (ostensible) resource scarcity. Our study highlights the necessity for universal access to regular health care to overcome the fragmentation of services and improve access to needed health care for UM in Germany.

Sohrabi et al. [1] have reviewed the latest situation and knowledge about a novel coronavirus that has caused an outbreak of a deadly human infectious disease, named as the COVID-19. World Health Organisation (WHO) has declared the COVID-19 outbreak as a pandemic on 11 March 2020 [2]. The authors have summarised many issues concerning the COVID-19 such as the clinical presentation, epidemiology, treatment, prognosis, prevalence, prevention and response to the outbreak [1]. More importantly, while pointing out the lessons learned, they have highlighted the importance of a number of critical issues, particularly the timeliness of providing information about COVID-19, starting with preventative measures such as quarantine of suspected cases and travel restrictions to contain the outbreak, and taking effective measures to stop the spread of misinformation about COVID-19 [1]. WHO data on COVID-19 show 118,382 confirmed cases and 4,292 deaths in 114 countries [3]. Notably, 66,687 cases of COVID-19 have recovered so far [4]. However, the situation is changing fast and the number of confirmed cases, deaths and survivors is expected to increase rapidly. WHO has estimated the preliminary COVID-19 transmission rate (R0) (reproductive number or the average number of people to which a single infected person will transmit the virus) between 1.4 and 2.5 [5], while others have reported higher values of R0 from 3.6 to 4.0 [6]. These values should be compared to the R0 of 1.3 for common flu and R0 of 2.0 for SARS [7]. While the R0 is greater than 1, the epidemic will continue [8]; however, when R0 is less than 1, the virus should slowly disappear [7]. The consequences of the COVID-19 outbreak are not only limited to human infection and deaths, but also have associated social repercussions, including racial and xenophobic attacks [9] and adverse economic implications, which have badly affected the travel industry [10], disrupted the supply chain [11] and stock exchanges [12], and slowed the global economy [13]. Governments and public health authorities around the world have taken several steps to prevent the spread of the COVID-19 such as the introduction of a new legislation in England to protect the public by restricting or detaining those suspected of carrying the coronavirus [14]. Additionally, some countries have also banned large public gatherings to contain the spread of the coronavirus. For example, France has put a ban on crowds of more than 5000 people [15] and Saudi Arabia has temporarily stopped religious pilgrims (both foreign and local) from visiting Makkah and Madinah -Islam’s two holiest places in the country [16]. Italy has put the entire country in quarantine with 12,462 total cases and 827 deaths [7]. Governments and (public) health authorities alone cannot succeed in combating the outbreak. People need to protect themselves and others from contracting COVID-19 by following public health advice, adopting the suggested preventive measures, and complying with the guidance issued by health authorities. Nonetheless, public access to timely and authentic information concerning health emergency situations like the COVID-19 outbreak is vital. Otherwise, people may be misled by a plethora of false information being disseminated through different channels, possibly leading to fear and distress. There are signs of public panic such as the bulk buying of face masks and hand sanitisers leading to empty shelves in supermarkets in some towns and cities. Restoring the confidence of the general public in public health measures is crucial, otherwise public fear and apprehension might limit the local, national, regional and international efforts and measures aimed at tackling the COVID-19 outbreak. Containment of the COVID-19 is critical, and it is only possible through the joint and coordinated efforts and cooperation between diverse stakeholders at local, national and global levels. Some countries involved in COVID-19 outbreak might need international support due to their weak health systems, lack of resources and diagnostic kits, and poor economic situations such as Iran facing international sanctions [17]. More importantly, there is an acute need for the pooling of resources in research and development, including development of a vaccine and effective medicines to combat the deadly COVID-19.

COVID-19: response plan for International Medical Assistance companies.

Background: Reports of persistent symptoms after COVID-19 infection have raised concern about post-COVID conditions (PCC).We describe patient characteristics and risk factors for COVID-19 infection and PCC at six months after enrollment in febrile patients presenting to six hospitals in Nakhon Phanom and Tak provinces, along the Thai-Lao and Thai-Myanmar borders, respectively.Methods: During June 2022-May 2023, we enrolled patients aged > 2 years presenting to outpatient departments/emergency rooms with temperature 37.5 C or history of fever 14 days.Saliva, nasal and nasopharyngeal/oropharyngeal swabs were tested for SARS-CoV-2 using real-time RT-PCR.Interviews and medical record reviews were conducted.Differences between COVID-19 cases (patients with RT-PCR positive for SARS-CoV-2) and noncases were measured using Chi-square test.Multivariate analysis assessed factors associated with COVID-19; adjusted odds ratios (aOR) and 95% confidence intervals (CI) were calculated.Follow-up of cases has occurred every three months following enrollment to assess PCC (defined as any persistent symptoms at each follow-up period) and degree of depression using the Patient Health Questionnaire (PHQ-9), compared to baseline at enrollment.Results: COVID-19 was detected in 1,694/3,031 (56%) persons, including 1,173/1,802 (65%) from Nakhon Phanom and 521/1,229 (42%) from Tak (p < 0.001).Compared to non-cases, cases were more likely to be older (median 38 [interquartile range 28-54] vs. 28 [IQR 13-49] years, p < 0.001) and female (63% vs. 53%, p < 0.001).Cases were more likely to report contact with other COVID-19 cases (aOR 10.0; 95%CI 7.8-12.0),history of travel (aOR 2.8; 95%CI 2.0-4.1),visiting crowded places (aOR 1.3; 95%CI 1.1-1.6),current alcohol consumption (aOR 1.9; 95%CI 1.3-2.8)and obesity (aOR1.5;95%CI 1.3-1.8).Of 1,694 cases, 842 (50%) agreed to be monitored for PCC, 420 (50%) completed six months of follow-up.Half (210/420) of these cases reported persistent symptoms at the 6-month follow-up visit; fatigue (n = 80, 19%), muscle pain (n = 79, 19%), forgetfulness (n = 76, 18%), insomnia (n = 74, 18%) and shortness of breath (n = 38, 9.0%) were the most common symptoms described by cases.A similar pattern of symptoms was observed among 442 participants at the 3-month follow-up visit.The proportion of cases with moderate to severe depression decreased from 4.3% (19/442) at baseline to 1.9% (8/420) at six months (p = 0.08).A greater proportion of females than males reported moderate to severe depression at baseline (5.8% vs. 1.3%, p = 0.03) and at 6-month follow-up (2.6% vs. 0.4%, p = 0.04).Discussion: SARS-CoV-2 was detected in more than half of febrile patients visiting hospitals in two border provinces of Thailand.Understanding the risk factors may inform prevention strategies for SARS-CoV-2 infections.PCC was found in half of the COVID-19 patients six months after COVID-19 diagnosis.Conclusion: Public health authorities and health care providers should work with communities to reduce risks for infection and monitor patients for PCC and mental health status after infection.

Introduction: Compulsive admissions of severe mentally ill patients are controversial but often necessary procedures. The Public Health Authorities are responsible for issuing a warrant that results in the compulsory detention and hospital admission of these patients for an urgent psychiatric evaluation. Objectives: This study aims to characterize the compulsory patients brought to the Emergency Room with a warrant issued by the local Public Health Authorities, and to study the correlation between the issuance of the warrant and the subsequent compulsory hospital admission. Methods: Retrospective observational study, in the period between January, 1st, 2012 and June, 30th, 2013 from the data included in warrants issued by the Public Health Authorities in the district of Evora. Results: The data of 57 patients brought to the Emergency Room with warrants issued by Public Health Authorities for urgent psychiatric evaluation was analyzed. After psychiatric evaluation, 36,8% had no mental illness that justified compulsory hospital admission. The analysis of Public Health Authority warrants identified four general reasons for demanding an urgent psychiatric evaluation. Clinical information was lacking in 74% of all revised warrants. Discussion and Conclusion: This study verified that more than one third of all the warrants were not followed by compulsory hospital admission to an acute psychiatric unit. Based on these findings it is relevant to question the lack of congruence between the criteria used by the Public Health Authorities and Psychiatrists to justify the need for compulsory admission in a psychiatric unit.

The ongoing global pandemic caused by the SARS-CoV-2 virus, known as COVID-19, has disrupted public health, businesses, and economies worldwide due to its widespread transmission. While previous research has suggested a possible link between environmental factors and increased COVID-19 cases, the evidence regarding this connection remains inconclusive. The purpose of this research is to determine whether or not there is a connection between the presence of fine particulate matter (PM2.5) and meteorological conditions and COVID-19 infection rates in Bangkok, Thailand. The study employs a statistical method called the Generalized Additive Model (GAM) to find a positive and non-linear association between relative humidity (RH), absolute humidity (AH), and rainfall (R) and the number of verified COVID-19 cases. The impacts of the seasons (especially summer) and rainfall on the trajectory of COVID-19 cases were also highlighted, with an adjusted R-square of 0.852 and a deviance explained of 85.60%, both of which were statistically significant (p < 0.05). The study results assist in preventing the future seasonal spread of COVID-19, and public health authorities may use these findings to make informed decisions and assess their policies.

BackgroundThe COVID-19 Delta variant has presented an unprecedented challenge to countries in Southeast Asia (SEA). Its transmission has shown spatial heterogeneity in SEA after countries have adopted different public health interventions during the process. Hence, it is crucial for public health authorities to discover potential linkages between epidemic progression and corresponding interventions such that collective and coordinated control measurements can be designed to increase their effectiveness at reducing transmission in SEA.ObjectiveThe purpose of this study is to explore potential linkages between the spatiotemporal progression of the COVID-19 Delta variant and nonpharmaceutical intervention (NPI) measures in SEA. We detected the space-time clusters of outbreaks of COVID-19 and analyzed how the NPI measures relate to the propagation of COVID-19.MethodsWe collected district-level daily new cases of COVID-19 from June 1 to October 31, 2021, and district-level population data in SEA. We adopted prospective space-time scan statistics to identify the space-time clusters. Using cumulative prospective space-time scan statistics, we further identified variations of relative risk (RR) across each district at a half-month interval and their potential public health intervention linkages.ResultsWe found 7 high-risk clusters (clusters 1-7) of COVID-19 transmission in Malaysia, the Philippines, Thailand, Vietnam, and Indonesia between June and August, 2021, with an RR of 5.45 (P<.001), 3.50 (P<.001), 2.30 (P<.001), 1.36 (P<.001), 5.62 (P<.001), 2.38 (P<.001), 3.45 (P<.001), respectively. There were 34 provinces in Indonesia that have successfully mitigated the risk of COVID-19, with a decreasing range between –0.05 and –1.46 due to the assistance of continuous restrictions. However, 58.6% of districts in Malaysia, Singapore, Thailand, and the Philippines saw an increase in the infection risk, which is aligned with their loosened restrictions. Continuous strict interventions were effective in mitigating COVID-19, while relaxing restrictions may exacerbate the propagation risk of this epidemic.ConclusionsThe analyses of space-time clusters and RRs of districts benefit public health authorities with continuous surveillance of COVID-19 dynamics using real-time data. International coordination with more synchronized interventions amidst all SEA countries may play a key role in mitigating the progression of COVID-19.

The COVID-19 pandemic has brought to the fore how blood services can partner with public health (PH) authorities to inform decisions. Yet the scope of partnerships between blood services and PH authorities is inadequately documented. We explored how blood services partner with PH authorities outside the scope of COVID-19. On 19 January 2022, survey was sent to employees of blood services located throughout the world. Survey questions mainly pertained to partnerships with PH authorities, including how blood specimens are used and collected. Twenty-seven recipients-4 (14.8%) in Africa, 3 (11.1%) in Asia, 9 (33.3%) in Europe, 6 (22.2%) in North America, 2 (7.4%) in Oceania and 3 (11.1%) in South America-completed the survey. Fifteen recipients (55.6%) indicated their blood service was directly or indirectly supervised by PH authorities. Twenty-four recipients (88.9%) indicated currently using or planning to use blood donor data or samples for PH research or pathogen surveillance. A substantial proportion of respondents reported using samples or results from non-routine tests for the surveillance of non-transfusion-transmitted infectious disease pathogens (n=13 [48.1%]); samples or results of non-routine tests for PH research unrelated to pathogens (n=10 [37.0%]); donor data for PH research unrelated to pathogens (n=12 [44.4%]) and donor data for PH research unrelated to transfusion safety (n=11 [40.7%]). Fourteen (51.9%) had established (or planned to establish) longitudinal cohorts and 19 (70.4%) biobanks. The majority of responding blood services were already involved in or planned to be involved in PH research or pathogen surveillance.

How reliable are COVID-19 burden estimates for India?

Background: Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by a new type of coronavirus, and as of September 11, 2020, 210,940 cases have been reported spread across all provinces in Indonesia. Central Java is the province with the 3rd highest cumulative case as of August 24, 2020. On the other hand, Klaten District ranks 11th out of 35 Districts/Cities in Central Java, and it is classified as a moderate risk zone area. Purpose: This study aims to describe the Covid-19 cases in Klaten District. Methods: This study was a descriptive observational study with a cross-sectional design. The data used secondary data obtained from the Covid-19 Case Report by the Surveillance, Health Quarantine, and Immunization Section of the Klaten District Health Office from March to August 2020. The population of all Klaten District people identified as positive for Covid-19 from March to August 2020. Samples were taken by using the total population sampling technique. Data analysis was presented using univariate analysis in narrative form, tables, charts, and distribution maps processed with health-mapper software. Results: Most Covid-19 cases occurred in men (50.31%). The highest confirmed cases happened in the productive age (49.06%), namely between 15-44 years. The area with the most confirmed cases was Wonosari Sub-district, with 72 confirmed cases. Covid-19 confirmed cases increased significantly in August with 180 confirmed cases. Conclusion: Klaten District is one of the areas affected by the Covid-19 pandemic with the number of cases that tends to increase since March to August 2020.

BackgroundIn Germany, few data exist about the prevalence of STI in female sex workers (FSW). Especially hard-to-reach populations without regular contact to health services may be at high risk for...

Measurements of human interaction through proxies such as social connectedness or movement patterns have proved useful for predictive modeling of COVID-19, which is a challenging task, especially at high spatial resolutions. In this study, we develop a Spatiotemporal autoregressive model to predict county-level new cases of COVID-19 in the coterminous US using spatiotemporal lags of infection rates, human interactions, human mobility, and socioeconomic composition of counties as predictive features. We capture human interactions through 1) Facebook- and 2) cell phone-derived measures of connectivity and human mobility, and use them in two separate models for predicting county-level new cases of COVID-19. We evaluate the model on 14 forecast dates between 2020/10/25 and 2021/01/24 over one- to four-week prediction horizons. Comparing our predictions with a Baseline model developed by the COVID-19 Forecast Hub indicates an average 6.46% improvement in prediction Mean Absolute Errors (MAE) over the two-week prediction horizon up to 20.22% improvement in the four-week prediction horizon, pointing to the strong predictive power of our model in the longer prediction horizons.

Between 11-13 December 2018, local public health authorities in the West Midlands, England were alerted to 34 reports of diarrhoea with abdominal cramps. Symptom onset was ~10 h after diners ate Christmas meals at a restaurant between 7-9 December 2018. A retrospective case-control study, environmental and microbiological investigations were undertaken to determine the source and control the outbreak. An analytical study was undertaken with odds ratios (OR) and 95% confidence intervals (CI). Forty persons were recruited to the analytical study (28/40 cases). Multivariable analysis found that leeks in cheese sauce was the only item associated with illness (aOR 51.1; 95% CI 4.13-2492.1). Environmental investigations identified significant lapses in food safety, including lapses in temperature control during cooking and hot holding, likely cross-contamination between raw and cooked foods and the reuse of leftover cheese sauce for the next day's service. No food samples were taken during the exposure period. Two faecal samples were positive for Clostridium perfringens with one confirming the enterotoxigenic gene. Cheese sauce is an unusual vehicle for the organism and the first time this has been reported in England.

Im Herbst und Winter 2020/2021 wird der Umgang mit Fällen einer vermuteten oder nachgewiesenen SARS-CoV-2-Infektion die bereits durch die bekannten saisonalen Virusinfektionen (u. a. RSV [respiratory syncytial virus] oder Influenzavirus) oft über die Grenzen hinaus belasteten Kinder- und Jugendkliniken hinsichtlich Isolierung oder Kohortierung vor erhebliche zusätzliche Herausforderungen stellen. Dies wird zu Engpässen in der Versorgung nicht nur der akut kranken Kinder, sondern mutmaßlich auch vieler anderer Patientenpopulationen führen. Daher müssen pragmatische, aber gleichwohl krankenhaushygienisch vertretbare Lösungsansätze vorbereitet werden. Die hier erarbeitete Stellungnahme soll den Kinderkliniken Hilfestellung für die Entscheidungsfindung geben. Diese orientiert sich im Wesentlichen an der Inzidenz von SARS-CoV‑2 im Kreis bzw. im Einzugsgebiet. Ist die Inzidenz niedrig (kumulative Anzahl der Neuinfektionen in den letzten 7 Tagen: <25/100.000) oder mittelhoch (25–50/100.000), erfolgt die Diagnostik unter Standardhygienebedingungen und die Kohortierung je nach Erreger oder Symptomatik. Ist die Inzidenz der Neuerkrankungen in der Region hoch (>50/100.000), erfolgt die Diagnostik unter entsprechenden, vom RKI vorgegebenen Sicherheitsvorkehrungen mit nachfolgender Isolierung bzw. Kohortierung der Patienten. Die vorgeschlagenen Grenzwerte können nach Maßgabe der Gesundheitsbehörde variieren. Bei überschrittener Aufnahmekapazität oder Versorgungsengpässen ist im Einzelfall die akute Notwendigkeit einer medizinischen Notfallversorgung prioritär, was vorübergehend ein weniger striktes Isolierungsregime erfordern kann.

Growth curves are widely used in modeling the growth process. These curves can capture the pattern of the growth process to explain the characteristic of the growth process. In this research, growth curves are modelled to time series form models in the growth rate form by allowing lagged in the model. These growth time series models are applied in weekly new cases of positive COVID-19 in.Jakarta to forecast the number of new cases in the five weeks ahead in the testing data. Three schemes are made to be modelled. The growth curves that employed in this research are Logistic and Richard growth curves. Evaluations value of the Richard and Logistic models are evaluated by RMSEP of the forecasting result in testing data and RMSE of the prediction in training data to determine which model is better to fit in the weekly new cases of positive COVID-19 in.Jakarta. Time series model based on Richard growth curve seems to have better performance than Logistic growth curve in forecasting weekly new cases of COVID-19 in.Jakarta, because Richard time series models have smaller RMSE and RMSEP in almost all scheme than Logistic models. Other than that more testing data fall into the 95% confidence interval of weekly new cases in Richard time series model than Logistic time series model in all scheme.