scholarly journals Author Correction: The impact of school opening model on SARS-CoV-2 community incidence and mortality

2022 ◽  
Author(s):  
Zeynep Ertem ◽  
Elissa M. Schechter-Perkins ◽  
Emily Oster ◽  
Polly van den Berg ◽  
Isabella Epshtein ◽  
...  
2021 ◽  
Vol 124 (9) ◽  
pp. 1516-1523
Author(s):  
Lindy M. Kregting ◽  
Sylvia Kaljouw ◽  
Lucie de Jonge ◽  
Erik E. L. Jansen ◽  
Elleke F. P. Peterse ◽  
...  

Abstract Background Many breast, cervical, and colorectal cancer screening programmes were disrupted due to the COVID-19 pandemic. This study aimed to estimate the effects of five restart strategies after the disruption on required screening capacity and cancer burden. Methods Microsimulation models simulated five restart strategies for breast, cervical, and colorectal cancer screening. The models estimated required screening capacity, cancer incidence, and cancer-specific mortality after a disruption of 6 months. The restart strategies varied in whether screens were caught up or not and, if so, immediately or delayed, and whether the upper age limit was increased. Results The disruption in screening programmes without catch-up of missed screens led to an increase of 2.0, 0.3, and 2.5 cancer deaths per 100 000 individuals in 10 years in breast, cervical, and colorectal cancer, respectively. Immediately catching-up missed screens minimised the impact of the disruption but required a surge in screening capacity. Delaying screening, but still offering all screening rounds gave the best balance between required capacity, incidence, and mortality. Conclusions Strategies with the smallest loss in health effects were also the most burdensome for the screening organisations. Which strategy is preferred depends on the organisation and available capacity in a country.


BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sourya Shrestha ◽  
Emily A. Kendall ◽  
Rebekah Chang ◽  
Roy Joseph ◽  
Parastu Kasaie ◽  
...  

Abstract Background Global progress towards reducing tuberculosis (TB) incidence and mortality has consistently lagged behind the World Health Organization targets leading to a perception that large reductions in TB burden cannot be achieved. However, several recent and historical trials suggest that intervention efforts that are comprehensive and intensive can have a substantial epidemiological impact. We aimed to quantify the potential epidemiological impact of an intensive but realistic, community-wide campaign utilizing existing tools and designed to achieve a “step change” in the TB burden. Methods We developed a compartmental model that resembled TB transmission and epidemiology of a mid-sized city in India, the country with the greatest absolute TB burden worldwide. We modeled the impact of a one-time, community-wide screening campaign, with treatment for TB disease and preventive therapy for latent TB infection (LTBI). This one-time intervention was followed by the strengthening of the tuberculosis-related health system, potentially facilitated by leveraging the one-time campaign. We estimated the tuberculosis cases and deaths that could be averted over 10 years using this comprehensive approach and assessed the contributions of individual components of the intervention. Results A campaign that successfully screened 70% of the adult population for active and latent tuberculosis and subsequently reduced diagnostic and treatment delays and unsuccessful treatment outcomes by 50% was projected to avert 7800 (95% range 5450–10,200) cases and 1710 (1290–2180) tuberculosis-related deaths per 1 million population over 10 years. Of the total averted deaths, 33.5% (28.2–38.3) were attributable to the inclusion of preventive therapy and 52.9% (48.4–56.9) to health system strengthening. Conclusions A one-time, community-wide mass campaign, comprehensively designed to detect, treat, and prevent tuberculosis with currently existing tools can have a meaningful and long-lasting epidemiological impact. Successful treatment of LTBI is critical to achieving this result. Health system strengthening is essential to any effort to transform the TB response.


2021 ◽  
Vol 60 (2) ◽  
pp. 36-38
Author(s):  
B. А. Abdurakhmanov ◽  
Z. К. Avizovа

Lung cancer is still leading in the structure of cancer incidence and mortality worldwide. Delay in appropriate treatment increases the probability of death from this disease. Purpose: to study foreign scientific publications of recent years on the mortality from lung cancer due to delayed treatment. Results: The analysis of global literature for 2010-2020 shows that any delay in lung cancer treatment after establishing the diagnosis reduces the survival rates. Recent studies provide a qualitative assessment of the effect of delay in treatment on cancer mortality for prioritization and modeling. The indications for surgery, systemic treatment, and radiation therapy in seven types of cancer, including lung cancer, evidence a significant association between delay in treatment and increased mortality. The researchers believe that early diagnostics increase the treatment efficacy. Conclusion: Analyzing the barriers to timely treatment for lung cancer can help clarify and assess the impact of delayed treatment on survival. Policies designed to minimize delays in treatment can improve survival outcomes.


2020 ◽  
Vol 5 (2) ◽  
pp. e24-e24
Author(s):  
Naim Sadat Kia ◽  
Mohammad Nassaji Zavareh ◽  
Elnaz Sarkheil ◽  
Elaheh Ghods

Introduction: Tuberculosis (TB) is one of the most common and lethal infectious diseases. Objectives: Due to the impact of biological, behavioral, socio-economic factors on the incidence of TB and the risks of the disease, we aimed to investigate the factors affecting TB in TB patients in Semnan. Patients and Methods: All patients with confirmed TB, who were referred to primary healthcare centers in Semnan for receiving medication, enrolled in the study (2012 to 2016). Data collected from clinical records and in-person interviews. The questionnaire consisted of two parts; the first part was demographic data and the other was related to the risk factors for TB. Results: The household crowding index was 1.86 ± 0.88. Most of patients (48.1%) were elderly (≥60 years old), female (59.7%), housewife (48.1%), had a pre-diploma education (63.6%), low-monthly income (62.3%) and married (63.6%). Around13.0% had diabetes. 20.8% drug abuser, 16.9% cigarettes and tobacco smokers, and 1.3% consumed alcoholic beverages. Besides, 40.3% were Afghans and 1.3% had the Pakistani nation. Conclusion: Identifying and controlling the social, geographical and biological factors affecting the incidence and mortality of TB in different regions can help to formulate appropriate strategies for achieving global goals. These factors differ among native and non-native population.


2017 ◽  
Vol 114 (52) ◽  
pp. E11267-E11275 ◽  
Author(s):  
Hmooda Toto Kafy ◽  
Bashir Adam Ismail ◽  
Abraham Peter Mnzava ◽  
Jonathan Lines ◽  
Mogahid Shiekh Eldin Abdin ◽  
...  

Insecticide-based interventions have contributed to ∼78% of the reduction in the malaria burden in sub-Saharan Africa since 2000. Insecticide resistance in malaria vectors could presage a catastrophic rebound in disease incidence and mortality. A major impediment to the implementation of insecticide resistance management strategies is that evidence of the impact of resistance on malaria disease burden is limited. A cluster randomized trial was conducted in Sudan with pyrethroid-resistant and carbamate-susceptible malaria vectors. Clusters were randomly allocated to receive either long-lasting insecticidal nets (LLINs) alone or LLINs in combination with indoor residual spraying (IRS) with a pyrethroid (deltamethrin) insecticide in the first year and a carbamate (bendiocarb) insecticide in the two subsequent years. Malaria incidence was monitored for 3 y through active case detection in cohorts of children aged 1 to <10 y. When deltamethrin was used for IRS, incidence rates in the LLIN + IRS arm and the LLIN-only arm were similar, with the IRS providing no additional protection [incidence rate ratio (IRR) = 1.0 (95% confidence interval [CI]: 0.36–3.0; P = 0.96)]. When bendiocarb was used for IRS, there was some evidence of additional protection [interaction IRR = 0.55 (95% CI: 0.40–0.76; P < 0.001)]. In conclusion, pyrethroid resistance may have had an impact on pyrethroid-based IRS. The study was not designed to assess whether resistance had an impact on LLINs. These data alone should not be used as the basis for any policy change in vector control interventions.


Author(s):  
Vladimir Vasilievich Krivosheev ◽  
Artem Igorevich Stolyarov ◽  
Aleksandr Aleksandrovich Semenov

Today COVID-19 is number one global point of focus. Therefore, study of the effects of environmental conditions, in which exist pandemic subjects — people and viruses, on pandemic dynamics and results is extremely important. The authors made a correlation analysis of dependence between incidence/mortality of population and absolute and relative humidity in 73 countries and regions on different continents of the Earth. The methodology developed defines how and in what periods of time the environmental factors effect on human incidence and mortality, how strongly particular atmospheric parameter affects the process of infection and disease flow. The undertaken calculations allowed to prove that the absolute humidity is one of the dominant natural factor which influences on pandemic COVID-19 and other infectious diseases dynamics. The growth of absolute air humidity can have both positive and negative effect on incidence and mortality of population while the effect’s character depends on absolute humidity’s own level and other atmospheric parameters. Correlation of absolute and relative humidity with incidence/mortality at the same time can be different in value or sign. Existing regulations at the federal level in Russian Federation are established without taking into account the minimum allowable and physiologically optimal value of absolute humidity, and need corrections. The question of the impact of absolute humidity is of great importance for northern territories, where most of the year the value of absolute humidity is less than the minimum allowed. The achieved results show high degree of the impact of absolute humidity on incidence and mortality of population due to COVID-19 and contribute to better understanding of pandemic peaks cyclicality and conscious forecasting of start of periods of the most dangerous epidemiological reality.


2020 ◽  
Vol 78 (4) ◽  
pp. 1775-1782
Author(s):  
Nanyang Liu ◽  
Jiahui Sun ◽  
Xiyuan Wang ◽  
Ming Zhao ◽  
Qianqian Huang ◽  
...  

Background: The emergence of the coronavirus disease 2019 (COVID-19) has brought large challenges to dementia patients. We reviewed the existing literature on COVID-19 to assess the incidence and mortality of dementia comorbidities in COVID-19 patients. Objective: To investigate the impact of pre-existing dementia comorbidities on COVID-19. Methods: We searched the PubMed, Embase, and Web of Science databases for patients with preexisting dementia who were diagnosed with COVID-19. The statistical data on the prevalence and mortality of dementia comorbidities were examined. A fixed-or random-effect model was used to calculate the overall pooled risk estimates. Forest plots were generated to show the summarized results. Results: A total of 265 articles were retrieved from the three databases. After removing duplicates and performing two screenings, 10 articles were selected for meta-analysis, including 119,218 participants. Overall, the meta-analysis of the 10 studies showed that the incidence of dementia in COVID-19 patients was (R: 9%, [95% CI: 6% to 13%]). Moreover, the meta-analysis of 9 studies showed that the mortality rate of individuals with dementia after being infected with COVID-19 was higher than that of individuals with no dementia (OR: 5.17 [95% CI: 2.31 to 11.59]). Substantial heterogeneity was observed in this meta-analysis. Significant publication bias was also found. Conclusion: Emerging literature shows that dementia comorbidities are a high risk factor for the prevalence and mortality of COVID-19. Our results should have an impact on preventive interventions and encourage more targeted approaches to prioritize older people with specific risk factors, such as dementia.


Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Dinesh Pal Mudaranthakam ◽  
Lisa M Harlan-Williams ◽  
Roy A Jensen ◽  
Hanluen Kuo ◽  
Vandita Garimella ◽  
...  

Abstract An increasingly diversified demographic landscape in rural and urban America warrants the attention of The University of Kansas Cancer Center (KU Cancer Center) researchers, clinicians, outreach staff and administrators as the institution assesses ways to reach its expansive, bi-state catchment area. Within the counties of the KU Cancer Center catchment area, patient level and public health data are available and categorized by varying geographic regional boundaries. Multiple data sources and different data collection processes complicate summarizing catchment area data. A curated data warehouse that retrieves and structures the data, with a common denominator, can support meaningful use of the data in a standard and consistent format. The KU Cancer Center built a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK), which functions to streamline the process of synthesizing data regarding Kansas and Missouri demographics, cancer risk factors and incidence and mortality rates. OPTIK standardizes these diverse data sources to enable analyses of the cancer burden at local, regional and national levels while upholding a strict standard of patient privacy. The OPTIK database enables researchers to use available data and create heat maps and other visualizations to aid in funding proposals, presentations and research activities. Furthermore, using knowledge provided by OPTIK, the KU Cancer Center is able to prioritize action items for research and outreach and more effectively communicate the impact of those efforts.


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