Conditioning factors in the spreading of Covid-19 – Does geography matter?

Heliyon, Год журнала: 2024, Номер 10(3), С. e25810 - e25810

Опубликована: Фев. 1, 2024

There is evidence in literature that the spread of COVID-19 can be influenced by various geographic factors, including territorial features, climate, population density, socioeconomic conditions, and mobility. The objective paper to provide an updated review on geographical studies analysing factors which spreading. This took into account not only aspects but also COVID-19-related outcomes (infections deaths) allowing discern potential influencing role per type outcome. A total 112 scientific articles were selected, reviewed categorized according subject area, aim, country/region study, considered variables, spatial temporal units analysis, methodologies, main findings. Our showed features may have played a determining uneven geography COVID-19; for instance, certain agreement was found regarding direct relationship between urbanization degree infections. For what concerns climatic temperature variable correlated best with Together socio-demographic ones extensively taken account. Most analysed agreed density human mobility had significant infections deaths. analysis different approaches used investigate spreading pandemic revealed significance/representativeness outputs scale due great variability aspects. In fact, more robust association conducted at subnational or local rather than country scale.

Язык: Английский

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The effect of SARS‐CoV‐2 infection on cardiac function in post‐COVID‐19 survivors: A systematic review and meta‐analysis

Journal of Medical Virology, Год журнала: 2022, Номер 95(1)

Опубликована: Ноя. 19, 2022

The longitudinal trajectories of cardiac structure and function following SARS-CoV-2 infection are unclear. Therefore, this meta-analysis aims to elucidate the effect on in coronavirus disease 2019 (COVID-19) survivors after recovery. PubMed/MEDLINE, CENTRAL, EMBASE were systematically searched for articles published up 1st August 2022. A systematic review performed calculate pooled effects size 95% confidence interval each outcome. total 21 studies including 2394 individuals (1436 post-COVID-19 cases 958 controls) included present meta-analysis. analyses compared with control groups showed a significant association between reduced left ventricular ejection fraction (LV EF), LV end-diastolic volume EDV), stroke SV), mitral annular plane systolic excursion (MAPSE), global strain, right EF (RV RV EDV, ESV, SV, tricuspid excursion, increased mass. Subgroup analysis based severity COVID-19 acute phase subsequent chronic outcomes revealed that EF, MAPSE, ESV only decreased patients history intensive care unit admission. Cardiac impairment persisted recovered even 1 year. Future warranted determine biological mechanisms underlying long-term cardiovascular consequences COVID-19.

Язык: Английский

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Analysis of Significance of CARD11 and MYO1G Expression in Pulmonary Tuberculosis and Its Predictive Value for Prognosis of Recurrence

Journal of Medical Biochemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

Pulmonary tuberculosis (PTB) is one of the most common infectious diseases worldwide, with extremely high morbidity and mortality. An in-depth understanding molecular pathogenesis PTB crucial for finding novel diagnostic therapeutic approaches in future. In this study, we identified 52 differentially expressed genes (DEGs), which consisted 422 nodes 2853 edges, from GSE34608 dataset Gene Expression Omnibus (GEO) database. These DEGs were composed 2,853 edges. Functional enrichment analysis revealed that CARD11 MYO1G are closely related to T-cell activation. Upon further clinical case analysis, found expression peripheral blood patients lower than those healthy individuals, demonstrating excellent value both diagnosis prognosis recurrence. Thus, promising indicators assessing

Язык: Английский

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Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study

PLOS Global Public Health, Год журнала: 2025, Номер 5(4), С. e0003431 - e0003431

Опубликована: Апрель 30, 2025

Previous research in India has identified urbanisation, human mobility and population demographics as key variables associated with higher district level COVID-19 incidence. However, the spatiotemporal dynamics of patterns rural urban areas India, conjunction other drivers transmission, have not been fully investigated. We explored travel networks within during two pandemic waves using aggregated anonymized weekly movement datasets obtained from Google, quantified changes before compared mean baseline for 8-week time period at beginning 2020. fit Bayesian hierarchical models coupled distributed lag non-linear (DLNM) integrated nested Laplace approximation (INLA) package R to examine lag-response associations transmission urban, suburban districts 2020-2021. Model results demonstrate that recovery 99% pre-pandemic levels was an increase relative risk Delta wave transmission. This increased mobility, reduced stringency public intervention policy emergence variant, were main contributors high peak April 2021. During both reduction interventions, climate factors (temperature precipitation) had 2-week impacts on [Formula: see text] variations observed across areas. With likelihood emergent novel infections disease outbreaks under a changing global climate, providing framework understanding lagged impact infection will be crucial informing interventions.

Язык: Английский

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Effects of COVID-19 Pandemic on Nutritional Status, Feeding Practices, and Access to Food Among Infants and Children in Lower and Middle-Income Countries: a Narrative Review

Current Tropical Medicine Reports, Год журнала: 2022, Номер 9(4), С. 197 - 206

Опубликована: Окт. 10, 2022

Язык: Английский

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The ecosyndemic framework of the global environmental change and the COVID-19 pandemic

The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159327 - 159327

Опубликована: Окт. 8, 2022

Язык: Английский

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Staying in or out? COVID-19-induced healthcare utilization avoidance and associated socio-demographic factors in rural India

BMC Public Health, Год журнала: 2023, Номер 23(1)

Опубликована: Июль 27, 2023

Abstract Background Although evidence on healthcare utilization avoidance during COVID-19 pandemic is emerging, such knowledge limited in rural settings. An effective policy to the shocks and stresses settings require empirical inform design of health policies programmes. To help overcome this gap also contribute decisions, study aimed at examining COVID-19-induced associated factors India. Methods This used third-round data from COVID-19-Related Shocks Rural India survey conducted between 20-24 September, 2020 across six states. The outcome variable considered was avoidance. Multivariable Binary Logistic Regression Model via Multiple Imputation assess influencing Results Data 4,682 respondents were study. Of this, prevalence 15.5% After adjusting for relevant covariates, participants Bihar State have significantly higher likelihood compared those Andhra Pradesh. Also, whose educational level exceeds high school, who use government hospital/clinic, engage daily wage labour agriculture odds their counterparts. Conclusion Our revealed that state residence, type facility used, primary work activity with findings suggest makers public authorities need formulate interventions acknowledge socioeconomic demographic influence

Язык: Английский

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Transmission pattern and city-based network of COVID-19 during sporadic outbreaks

Cities, Год журнала: 2024, Номер 154, С. 105326 - 105326

Опубликована: Авг. 17, 2024

Язык: Английский

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Exploration of spatiotemporal heterogeneity and socio-demographic determinants on COVID-19 incidence rates in Sarawak, Malaysia

BMC Public Health, Год журнала: 2023, Номер 23(1)

Опубликована: Июль 20, 2023

Abstract Background In Sarawak, 252 300 coronavirus disease 2019 (COVID-19) cases have been recorded with 1 619 fatalities in 2021, compared to only 117 2020. Since Sarawak is geographically separated from Peninsular Malaysia and half of its population resides rural districts where medical resources are limited, the analysis spatiotemporal heterogeneity incidence rates their relationship socio-demographic factors crucial understanding spread Sarawak. Methods The spatial dependence district-wise investigated using autocorrelation two orders contiguity weights for various pandemic waves. Nine determinants chosen 14 covariates via elastic net regression recursive partitioning. relationships between examined ordinary least squares, lag error models, weighted regression. Results first 8 months COVID-19 severely affected Sarawak’s central region, which was followed by southern region next 2 months. third wave, based on second-order weights, rate a district most strongly influenced neighboring districts’ rate, although variance best explained local coefficient estimates wave. It discovered that percentage households garbage collection facilities, density proportion male positively associated increase rates. Conclusion This research provides useful insights State Government public health authorities critically incorporate characteristics communities into evidence-based decision-making altering monitoring response plans. Policymakers can make well-informed judgments implement targeted interventions having an in-depth patterns characteristics. will effectively help mitigating disease.

Язык: Английский

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Identification of environmental, socioeconomic, water, sanitation, and hygiene (WaSH) factors associated with COVID-19 incidence in the Philippines: A nationwide modelling study

The Science of The Total Environment, Год журнала: 2024, Номер 946, С. 174214 - 174214

Опубликована: Июнь 22, 2024

Despite the implementation of non-pharmaceutical interventions, threat coronavirus disease 2019 (COVID-19) remains significant on a global scale. Identifying external factors contributing to its spread is crucial, especially given World Health Organization's recommendation emphasizing access water, sanitation, and hygiene as essential in curbing COVID-19. There notable discrepancy sanitation facilities, particularly evident low- middle-income countries. However, there lack quantitative assessments regarding these factors. This study examines various environmental, socioeconomic, their associations with COVID-19 incidence. All regions Philippines were categorized into clusters based socioeconomic A conceptual structural equation model (SEM) was developed using domain knowledge. The best-fitting SEM for each cluster determined, between incidence estimated. correlation analysis revealed that rainfall, minimum temperature, relative humidity positively correlated weekly urban regions. Maximum mean wind speed, direction negatively rural regions, time lags 0, 3, 7 weeks. In (Cluster 1), such urbanization rate (1.00), area (-0.93), population (0.54) found be associated Conversely, 2), including (0.17), basic (0.84), (0.83) showed These causally latent variable reflecting hidden confounders It important note only Improving facilities imperative effectively mitigate transmission future pandemics. Identification causal effect unobserved recommended research.

Язык: Английский

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