The Multiple Waves of COVID-19 in Patients With Inflammatory Bowel Disease: A Temporal Trend Analysis

Background Cases of coronavirus disease 2019 (COVID-19) have emerged in discrete waves. We explored temporal trends in the reporting of COVID-19 in inflammatory bowel disease (IBD) patients. Methods The Surveillance Epidemiology of Coronavirus Under Research Exclusion for Inflammatory Bowel Disease (SECURE-IBD) is an international registry of IBD patients diagnosed with COVID-19. The average percent changes (APCs) were calculated in weekly reported cases of COVID-19 during the periods of March 22 to September 12, September 13 to December 12, 2020, and December 13 to July 31, 2021. Results Across 73 countries, 6404 cases of COVID-19 were reported in IBD patients. COVID-19 reporting decreased globally by 4.2% per week (95% CI, −5.3% to −3.0%) from March 22 to September 12, 2020, then climbed by 10.2% per week (95% CI, 8.1%-12.3%) from September 13 to December 12, 2020, and then declined by 6.3% per week (95% CI, −7.8% to −4.7%). In the fall of 2020, weekly reporting climbed in North America (APC, 11.3%; 95% CI, 8.8-13.8) and Europe (APC, 17.7%; 95% CI, 12.1%-23.5%), whereas reporting was stable in Asia (APC, −8.1%; 95% CI, −15.6-0.1). From December 13, 2020, to July 31, 2021, reporting of COVID-19 in those with IBD declined in North America (APC, −8.5%; 95% CI, −10.2 to −6.7) and Europe (APC, −5.4%; 95% CI, −7.2 to −3.6) and was stable in Latin America (APC, −1.5%; 95% CI, −3.5% to 0.6%). Conclusions Temporal trends in reporting of COVID-19 in those with IBD are consistent with the epidemiological patterns COVID-19 globally.

Territorial Strategy of Medical Units for Addressing the First Wave of the COVID-19 Pandemic in the Metropolitan Area of Mexico City: Analysis of Mobility, Accessibility and Marginalization

Background. The COVID-19 pandemic has caused an exponential increase in the demand for medical care worldwide. In Mexico, the COVID Medical Units (CMUs) conversion strategy was implemented. Objective. To evaluate the CMU coverage strategy in the Mexico City Metropolitan Area (MCMA) by territory. Materials. The CMU directory was used, as were COVID-19 infection and mobility statistics and Mexican 2020 census information at the urban geographic area scale. The degree of urban marginalization by geographic area was also considered. Method. Using descriptive statistics and the calculation of a CMU accessibility index, population aggregates were counted based on coverage radii. In addition, two regression models are proposed to explain (1) the territorial and temporal trend of COVID-19 infections in the MCMA and (2) the mobility of the COVID-infected population visiting medical units. Results. The findings of the evaluation of the CMU strategy were (1) in the MCMA, COVID-19 followed a pattern of contagion from the urban center to the periphery; (2) given the growth in the number of cases and the overload of medical units, the population traveled greater distances to seek medical care; (3) after the CMU strategy was evaluated at the territory level, it was found that 9 out of 10 inhabitants had a CMU located approximately 7 km away; and (4) at the metropolitan level, the lowest level of accessibility to the CMU was recorded for the population with the highest levels of marginalization, i.e., those residing in the urban periphery.

Populism and Asianization

This chapter will clarify that the recent spread of populism is based on the fact that logical and emotional thinking/behaving are merging, especially in the West. In the West since the era of Greek philosopher Plato, people have tried to separate logic and emotion and have emphasized the superiority of logic to emotion. However, because of the invention and progress of media technologies, recently people's ways of thinking/behaving are becoming emotional. Therefore, the trend of populism could be understood that the people's ways of thinking/behaving in the West are approaching those in Asia. This phenomenon can be called “Asianization.” This means that populism is not a temporal trend but a long-time lasting trend. Also, this chapter will describe how to overcome populism.

Social determinants and spatio-temporal variation of Ischemic Heart Disease in Manitoba

Introduction The aim was to study any spatial and/or temporal patterns of ischemic heart disease (IHD) prevalence and measure the effects of selected social determinants on these spatial and space-time patterns. Methods Data were obtained from the Population Research Data Repository housed at the Manitoba Centre for Health Policy to identify persons who were diagnosed with IHD between 1995 and 2018. These persons were geocoded to 96 geographic regions of Manitoba. An area-level socioeconomic factor index (SEFI-2) and the proportion of the population who was Indigenous were calculated for each geographic region using the 2016 Canadian Census data. Associations between these factors and IHD prevalence were measured using Bayesian spatial Poisson regression models. Temporal trends and spatio-temporal trends were measured using Bayesian spatio-temporal Poisson regression models. Results Univariable models showed a significant association with increased regional Indigenous population proportion associated with a higher prevalence of IHD (RR: 0.07, 95% CredInt: (0.05, 0.10)) and for SEFI-2 (RR: 0.17, 95% CredInt: (0.11, 0.23)). Using a multivariable model, after accounting for the proportion of the population that was Indigenous, there was no evidence of an association between IHD prevalence and area-level socioeconomic factor. Spatio-temporal models showed no significant overall temporal trend in IHD prevalence, but there were significant spatially varying temporal trends within the 96 regions. Conclusions Association between Indigenous population proportion and IHD is consistent with previous research. No significant overall temporal trend was measured. However, regions with significantly increasing trends and significantly decreasing trends in IHD prevalence were identified.

HIV epidemic in a province of the Brazilian Amazon region: Temporal trend analysis

Background: Although considerable progress has been made over the last decades, human immunodeficiency virus (HIV) incidence and acquired immunodeficiency syndrome (AIDS) mortality rates have remarkably increased in the Brazilian Amazon region. Here, we employed temporal analysis to determine the impact of public policies on the HIV epidemic in the state of Pará, Brazil, which has the second highest HIV incidence rate in the Amazon region.Design and Methods: This is an ecological study conducted in the state of Pará, employing secondary data of HIV/AIDS cases notified to the Information System for Notifiable Diseases, 2007–2018. The following epidemiological variables were collected: year of notification, municipality of residence, age, sex, education, exposure category, and HIV/AIDS diagnostic criteria. The study population was composed of 21,504 HIV/AIDS cases. The HIV/AIDS incidence rates were analyzed employing the temporal trend analysis (TTA) followed by the chi-square test and residue analysis to determine the association between the epidemiological variables and time series periods.Results: A total of 50% of the notifications were composed of AIDS cases. TTA identified two periods in HIV/AIDS incidence, with stabilization of cases in the first period (G1, 2007–2012) and an upward trend in the second period (G2, 2012–2018). The most prevalent epidemiological characteristics in G2 (versus G1) were as follows: young people, brown skin color, higher schooling, and homosexuals.Conclusion: Public policy to control HIV infection in the Brazilian Amazon region has been partially effective. HIV screening tests and treatment should be made widely available to eradicate HIV infection in the Amazon region by 2030.