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Effects of climate variables on the COVID-19 outbreak in Spain.

ABSTRACT: An outbreak of the novel COVID-19 virus occurred during February 2020 onwards in almost all the European countries, including Spain. This study covers the correlation found between weather variables (Maximum Temperature, Minimum Temperature, Mean Temperature, Atmospheric Pressure, Daily Rainfall, Daily Sun hours) and the coronavirus propagation in Spain. A strong relationship is found when correlating the virus spread to the mean temperature, minimum temperature, and atmospheric pressure in different Spanish provinces. In this analysis we have used the ratio of the PCR COVID-19 positives with respect to the population size. A linear regression model using the mean temperature is implemented. Moreover, an analysis of variance is used to confirm the influence of mean temperature on the spread of virus. As a second measurement of the COVID-19 outbreak we have used the results of the antibodies tests carried out in Spain that provide an estimation of the heard immunity achieved. Based on this analysis, an estimation of the asymptomatic population is performed. All these results exhibit significant correlation with weather variables. The most affected provinces were Soria, Segovia and Ciudad Real, which are the coldest. On the opposite side, places such as Southern Spain, the Baleares, and Canary Islands showed a lower rate of spread. This might be related to the warmer climate and the insularity of these islands. Besides, the coastal influence and the daily sun hours might also influence the lower rates in the east and west regions in Spain. This analysis provides a deeper insight of the influence of weather variables onto the COVID-19 spread in Spain.

SUBMITTER: Loche Fernandez-Ahuja JM

PROVIDER: S-EPMC7914019 | biostudies-literature |

REPOSITORIES: biostudies-literature

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COVID-19 Outbreak

Project description:COVID-19 Outbreak

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Air pollution and meteorological variables' effects on COVID-19 first and second waves in Spain.

Project description:The aim of this research is to study the influence of atmospheric pollutants and meteorological variables on the incidence rate of COVID-19 and the rate of hospital admissions due to COVID-19 during the first and second waves in nine Spanish provinces. Numerous studies analyze the effect of environmental and pollution variables separately, but few that include them in the same analysis together, and even fewer that compare their effects between the first and second waves of the virus. This study was conducted in nine of 52 Spanish provinces, using generalized linear models with Poisson link between levels of PM10, NO2 and O3 (independent variables) and maximum temperature and absolute humidity and the rates of incidence and hospital admissions of COVID-19 (dependent variables), establishing a series of significant lags. Using the estimators obtained from the significant multivariate models, the relative risks associated with these variables were calculated for increases of 10 µg/m3 for pollutants, 1 °C for temperature and 1 g/m3 for humidity. The results suggest that NO2 has a greater association than the other air pollution variables and the meteorological variables. There was a greater association with O3 in the first wave and with NO2 in the second. Pollutants showed a homogeneous distribution across the country. We conclude that, compared to other air pollutants and meteorological variables, NO2 is a protagonist that may modulate the incidence and severity of COVID-19, though preventive public health measures such as masking and hand washing are still very important.Supplementary informationThe online version contains supplementary material available at 10.1007/s13762-022-04190-z.

| S-EPMC9065237 | biostudies-literature

Impact of outbreak COVID-19 pandemic on psychiatry emergencies in Spain.

Project description:The SARS-CoV-2 pandemic has caused an unprecedented clinical situation. A retrospective cross-sectional study was designed with the aim to evaluate psychiatric emergencies from March 14 to May 1, 2020, coinciding with the start of the emergency state and the lockdown until the attenuation of the confinement. Data obtained during this period were compared with the emergencies attended in the same period of 2019. A total of 213 psychiatric emergencies were attended in 2020 compared with 367 in 2019. The mean number of emergencies per day was significantly lower during the COVID-19 outbreak in 2020 (M=4.35, SD= 2.04) vs. the same period in 2019 (M=7.50, SD= 3.18). A higher percentage of patients with schizo/psychotic disorders (34.3% in 2020, vs. 24.3% in 2019), as well as a lower percentage of patients with anxiety/adaptive disorders (25.4% in 2020 vs. 35.4% in 2019) was observed during the outbreak. A significant lower mean discharge/emergency ratio (M=42.17, SD= 26.94 in 2020 vs. M=63.43, SD= 17.64 in 2019) and a higher referral to Internal Medicine/emergency ratio (M=20.55, SD= 22.16 in 2020 vs. M=3.32, SD= 6.63 in 2019) was observed. The results suggest important changes in psychiatric emergencies during the most critical period of the COVID-19 outbreak in Spain.

| S-EPMC7672359 | biostudies-literature

Effects of climate variables on the transmission of COVID-19: a systematic review of 62 ecological studies.

Project description:The new severe acute respiratory syndrome coronavirus 2 was initially discovered at the end of 2019 in Wuhan City in China and has caused one of the most serious global public health crises. A collection and analysis of studies related to the association between COVID-19 (coronavirus disease 2019) transmission and meteorological factors, such as humidity, is vital and indispensable for disease prevention and control. A comprehensive literature search using various databases, including Web of Science, PubMed, and Chinese National Knowledge Infrastructure, was systematically performed to identify eligible studies from Dec 2019 to Feb 1, 2021. We also established six criteria to screen the literature to obtain high-quality literature with consistent research purposes. This systematic review included a total of 62 publications. The study period ranged from 1 to 8 months, with 6 papers considering incubation, and the lag effect of climate factors on COVID-19 activity being taken into account in 22 studies. After quality assessment, no study was found to have a high risk of bias, 30 studies were scored as having moderate risks of bias, and 32 studies were classified as having low risks of bias. The certainty of evidence was also graded as being low. When considering the existing scientific evidence, higher temperatures may slow the progression of the COVID-19 epidemic. However, during the course of the epidemic, these climate variables alone could not account for most of the variability. Therefore, countries should focus more on health policies while also taking into account the influence of weather.

| S-EPMC8364942 | biostudies-literature

The impact on mental health patients of COVID-19 outbreak in Spain.

Project description:Public health studies warn of the vulnerability of people with mental disorders during the COVID-19 outbreak. Thus, the aims of this study were to (1) explore the presence of symptoms of anxiety, depression and acute stress among people with a mental disorder (MD); (2) evaluate the rate of COVID-19 infection between MD and non-MD, and (3) study the relationship between the emotional state of people with a mental disorder and some environmental variables. A cross-sectional study starting on March 29 to April 5, 2020 based on a national online survey using snowball sampling techniques was conducted. Symptoms of anxiety (Hamilton Anxiety Scale), depression (Beck Depression Inventory) and acute stress (Acute Stress Disorder Inventory) were compared in MD and non-MD. The rate of COVID-19 confirmed cases among MD and non-MD was compared as well as the relationship between some environmental variables and the emotional state within MD. Up to 1839 [201 (10.9%) MD] participants completed the survey. MD showed significant higher mean (SD) in anxiety [24.7 (11.8) vs. 17 (10.3); p = 0.001], depression [7.9 (6.0) vs. 4.2 (4.2); p = 0.001] and acute stress [6.3 (3.2) vs. 4.4 (3.1); p = 0.001] scores than non-MD. The COVID-19 confirmed cases rate was higher in MD participants than in non-MD (3.5% vs. 0.4%; p < 0.001). Among the MD group, being a COVID-19 confirmed case, the lack in basic needs coverage, the rpesence of violence, drug use and the absence of physical excercise were associated with more severe depressive symptoms. Findings suggest that the COVID-19 has an impact on the emotional state of people with mental disorders.

| S-EPMC7817388 | biostudies-literature

Characterizing two outbreak waves of COVID-19 in Spain using phenomenological epidemic modelling.

Project description:Since the first case reported of SARS-CoV-2 the end of December 2019 in China, the number of cases quickly climbed following an exponential growth trend, demonstrating that a global pandemic is possible. As of December 3, 2020, the total number of cases reported are around 65,527,000 contagions worldwide, and 1,524,000 deaths affecting 218 countries and territories. In this scenario, Spain is one of the countries that has suffered in a hard way, the ongoing epidemic caused by the novel coronavirus SARS-CoV-2, namely COVID-19 disease. In this paper, we present the utilization of phenomenological epidemic models to characterize the two first outbreak waves of COVID-19 in Spain. The study is driven using a two-step phenomenological epidemic approach. First, we use a simple generalized growth model to fit the main parameters at the early epidemic phase; later, we apply our previous finding over a logistic growth model to that characterize both waves completely. The results show that even in the absence of accurate data series, it is possible to characterize the curves of case incidence, and construct a short-term forecast of 60 days in the near time horizon, in relation to the expected total duration of the pandemic.

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Epidemiological characteristics of the COVID-19 outbreak in a secondary hospital in Spain.

Project description:ObjectivesIn 2019 Chinese authorities alerted of the appearance of a cluster of cases of unknown pneumonia related to a new type of coronavirus. Spain is among the most affected countries. Our aim is to describe the cases of COVID-19 at Infanta Sofía University Hospital (Madrid), a public secondary hospital that increased its hospital beds to provide assistance during the outbreak.MethodsRetrospective descriptive study of cases that met COVID-19 clinical diagnosis criteria or had a positive PCR test from February 27 to June 29, 2020. A description of demographic variables, hospital stay, mortality and the epidemiological curve was performed.ResultsOf 1,828 confirmed cases, 64.4% were hospitalised, 5.6% were admitted to the ICU. About 52.2% were male. The median age was 63.2 years. About 13.1% were nursing home residents. Nineteen percent were of Latin American origin of which 6.8% were admitted to the ICU. Overall case fatality was 14.6%. We observed a biphasic epidemiological curve.ConclusionsSixty to 79-year-old males were admitted and deceased more often than women. Mortality reached 14.7%. Latin Americans were admitted more often to the ICU. Further studies about epidemiological characteristics of COVID-19 in hospitals are necessary.

| S-EPMC7834034 | biostudies-literature

COVID-19 outbreak in Latvia

Project description:Latvian SARS-CoV-2 isolate genetic diveristy

| PRJEB40188 | ENA

COVID-19 outbreak in long-term care facilities from Spain. Many lessons to learn.

Project description:Background/objectivesTo analyze mortality, costs, residents and personnel characteristics, in six long-term care facilities (LTCF) during the outbreak of COVID-19 in Spain.DesignEpidemiological study.SettingSix open LTCFs in Albacete (Spain).Participants198 residents and 190 workers from LTCF A were included, between 2020 March 6 and April 5. Epidemiological data were also collected from six LTCFs of Albacete for the same period of time, including 1,084 residents.MeasurementsBaseline demographic, clinical, functional, cognitive and nutritional variables were collected. 1-month and 3-month mortality was determined, excess mortality was calculated, and costs associated with the pandemics were analyzed.ResultsThe pooled mortality rate for the first month and first three months of the outbreak were 15.3% and 28.0%, and the pooled excess mortality for these periods were 564% and 315% respectively. In facility A, the percentage of probable COVID-19 infected residents were 33.6%. Probable infected patients were older, frail, and with a worse functional situation than those without COVID-19. The most common symptoms were fever, cough and dyspnea. 25 residents were transferred to the emergency department, 21 were hospitalized, and 54 were moved to the facility medical unit. Mortality was higher upon male older residents, with worse functionality, and higher comorbidity. During the first month of the outbreak, 65 (24.6%) workers leaved, mainly with COVID-19 symptoms, and 69 new workers were contracted. The mean number of days of leave was 19.2. Costs associated with the COVID-19 in facility A were estimated at € 276,281/month, mostly caused by resident hospitalizations, leaves of workers, staff replacement, and interventions of healthcare professionals.ConclusionThe COVID-19 pandemic posed residents at high mortality risk, mainly in those older, frail and with worse functional status. Personal and economic costs were high.

| S-EPMC7591018 | biostudies-literature

CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain.

Project description:The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on the affected populations. To date, all available studies designed to investigate the psychological effects of this unprecedented global crisis are based on cross-sectional surveys that do not capture emotional variations over time. Here, we present the data from CoVidAffect, a nationwide citizen science project aimed to provide longitudinal data of mood changes following the COVID-19 outbreak in the spanish territory. Spain is among the most affected countries by the pandemic, with one of the most restrictive and prolonged lockdowns worldwide. The project also collected a baseline of demographic and socioeconomic data. These data can be further analyzed to quantify emotional responses to specific measures and policies, and to understand the effect of context variables on psychological resilience. Importantly, to our knowledge this is the first dataset that offers the opportunity to study the behavior of emotion dynamics in a prolonged lockdown situation.

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