scholarly journals Understanding Weather and Hospital Admissions Patterns to Inform Climate Change Adaptation Strategies in the Healthcare Sector in Uganda

2018 ◽  
Vol 15 (11) ◽  
pp. 2402 ◽  
Author(s):  
Katherine Bishop-Williams ◽  
Lea Berrang-Ford ◽  
Jan Sargeant ◽  
David Pearl ◽  
Shuaib Lwasa ◽  
...  
Keyword(s):  
Climate Change ◽  
Meteorological Parameters ◽  
Hospital Admissions ◽  
Respiratory Infections ◽  
Meteorological Data ◽  
Low Cost ◽  
Health Planning ◽  
Weather Conditions ◽  
Healthcare Sector ◽  
Hospital Data

Background: Season and weather are associated with many health outcomes, which can influence hospital admission rates. We examined associations between hospital admissions (all diagnoses) and local meteorological parameters in Southwestern Uganda, with the aim of supporting hospital planning and preparedness in the context of climate change. Methods: Hospital admissions data and meteorological data were collected from Bwindi Community Hospital and a satellite database of weather conditions, respectively (2011 to 2014). Descriptive statistics were used to describe admission patterns. A mixed-effects Poisson regression model was fitted to investigate associations between hospital admissions and season, precipitation, and temperature. Results: Admission counts were highest for acute respiratory infections, malaria, and acute gastrointestinal illness, which are climate-sensitive diseases. Hospital admissions were 1.16 (95% CI: 1.04, 1.31; p = 0.008) times higher during extreme high temperatures (i.e., >95th percentile) on the day of admission. Hospital admissions association with season depended on year; admissions were higher in the dry season than the rainy season every year, except for 2014. Discussion: Effective adaptation strategy characteristics include being low-cost and quick and practical to implement at local scales. Herein, we illustrate how analyzing hospital data alongside meteorological parameters may inform climate-health planning in low-resource contexts.

scholarly journals ROUTINE, EXTREME AND ENGINEERING METEOROLOGY ANALYSIS FOR KARACHI COASTAL AREA

2020 ◽  
Vol 4 (1) ◽  
pp. 15-22
Author(s):  
Muhammad Taqui ◽  
Jabir Hussain Syed ◽  
Ghulam Hassan Askari
Keyword(s):  
Climate Change ◽  
Coastal Area ◽  
Meteorological Parameters ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Meteorological Station ◽  
Annual Precipitation ◽  
Maximum Temperature ◽  
Intergovernmental Panel ◽  
Interdisciplinary Field

Pakistan’s largest city, Karachi, which is industrial centre and economic hub needs focus in research and development of every field of Engineering, Science and Technology. Urbanization and industrialization is resulting bad weather conditions which prolongs until a climate change. Since, Meteorology serves as interdisciplinary field of study, an analytical study of real and region-specific meteorological data is conducted which focuses on routine, extreme and engineering meteorology of metropolitan city Karachi. Results of study endorse the meteorological parameters relationship and establish the variability of those parameters for Karachi Coastal Area. The rise of temperature, decreasing trend of atmospheric pressure, increment in precipitation and fall in relative humidity depict the effects of urbanization and industrialization. The recorded extreme maximum temperature of 45.50C (on June 11, 1988) and the extreme minimum temperature of 4.5 0C(on January 1, 2007) is observed at Karachi south meteorological station. The estimated temperature rise in 32 years is 0.9 0C, which is crossing the Intergovernmental Panel on Climate Change (IPCC) predicted/estimated limit of 2oC rise per century. The maximum annual precipitation of 487.0mm appearing in 1994 and the minimum annual precipitation of 2.5mm appearing in 1987 is observed at same station which is representative meteorological station for Karachi Coast. Further Engineering meteorological parameters for heating ventilation air condition (HVAC) system design for industrial purpose are deduced as supporting data for coastal area site study for industrial as well as any follow-up engineering work in the specified region.

Does climate change affect the chronobiological trends in occurrence of acute coronary syndromes?

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
L Kuzma ◽  
A Kurasz ◽  
M Niwinska ◽  
EJ Dabrowski ◽  
M Swieczkowski ◽  
...  
Keyword(s):  
Climate Change ◽  
Acute Coronary Syndromes ◽  
Hospital Admissions ◽  
Global Climate ◽  
Weather Conditions ◽  
Temperature Changes ◽  
Funding Sources ◽  
Relative Risks ◽  
Coronary Syndromes ◽  
Atmospheric Changes

Abstract Funding Acknowledgements Type of funding sources: None. Background Acute coronary syndromes (ACS) are the leading cause of death all over the world, in the last years chronobiology of their occurrence has been changing. Purpose The aim of this study was to assess the influence of climate change on hospital admissions due to ACS. Methods Medical records of 10,529 patients hospitalized for ACS in 2008–2017 were examined. Weather conditions data were obtained from the Institute of Meteorology. Results Among the patients, 3537 (33.6%) were hospitalized for STEMI, 3947 (37.5%) for NSTEMI, and 3045 (28.9%) for UA. The highest seasonal mean for ACS was recorded in spring (N = 2782, mean = 2.52, SD = 1.7; OR 1.07; 95% CI 1.0-1.2; P = 0.049) and it was a season with the highest temperature changes day to day (Δ temp.=11.7). On the other hand, every 10ºC change in temperature was associated with an increased admission due to ACS by 13% (RR 1.13; 95% CI 1.04-1.3; P = 0.008). Analysis of weekly changes showed that the highest frequency of ACS occurred on Thursday (N = 1703, mean = 2.7, SD = 1.9; OR 1.16; 95% CI 1.0-1.23; P = 0.004), in STEMI subgroup it was Monday (N = 592, mean = 0.9, SD = 1.6, OR 1.2; 95% CI 1.1-1.4; P = 0.002). Sunday was associated with decreased admissions due to all types of ACS (N = 1098, mean = 1.7, SD = 1.4; OR 0.69; 95% CI 0.6-0.8, P < 0.001). In the second half of the study period (2013-2018) the relative risks of hospital admissions due to ACS were 1.043 (95%CI: 1.009-1.079, P = 0.014, lag 0) and 0.957 (95%CI: 0.925-0.990, P = 0.010, lag 1) for each 10ºC decrease in temperature; 1.049 (95% CI: 1.015-1.084, P = 0.004, lag 0) and 1.045 (95%CI: 1.011-1.080, P = 0.008, lag 1) for each 10 hPa decrease in atmospheric pressure and 1.180 (95% CI: 1.078-1.324, P = 0.007, lag 0) for every 10ºC change in temperature. For the first half of the study the risk was significantly lower. Conclusion We observed a shift in the seasonal peak of ACS occurrence from winter to spring which may be related to temperature fluctuation associated with climate change in this season. The lowest frequency of ACS took place on weekends. Atmospheric changes had a much more pronounced effect on admissions due to ACS in the second half of the analyzed period, which is in line with the dynamics of global climate change.

scholarly journals Meteorology in field artillery ballistic calculations

2021 ◽  
Vol 2090 (1) ◽  
pp. 012149
Author(s):  
M Mendel
Keyword(s):  
Atmospheric Pressure ◽  
Open Space ◽  
Meteorological Parameters ◽  
Meteorological Data ◽  
Armed Forces ◽  
Weather Conditions ◽  
Atmospheric Conditions ◽  
Area Of Interest ◽  
Single Probe ◽  
Atmospheric Data

Abstract The most important meteorological data are:ambient temperature, precipitation quantity, air humidity, amount and type of clouds, atmospheric pressure, wind direction and speed, visibility, weather phenomena. These coefficients impact the effectiveness of various combat activities, especially those conducted in an open space. Knowledge of future weather conditions is essential for planning the location, calculating times, choice of means, and other aspects relevant to the upcoming operations. Taking weather conditions into account is vital, specifically when it comes to planning combat operations, where the accuracy in cooperation is of paramount importance. Rocket forces and artillery is a particular type of armed forces where weather conditions are critical. The effectiveness of artillery depends on ballistic calculation precision, and so knowledge of atmospheric conditions is fundamental. Atmospheric data are collected from sounding using a single probe attached to a balloon. It is generally known that particular meteorological parameters change in a smooth spatial manner depending on various coefficients. Information about the atmosphere collected by a single probe may be insufficient, due to the possibility of a balloon drifting away from the area of interest, and the calculations are based on data received from its probe. In this paper, I will suggest a method for preparing artillery use meteorologically, which takes into account the distribution of particular meteorological coefficients over a given area.

scholarly journals Relationship of Humidity and Atmospheric Pressure With the Risk of Out-of-hospital Cardiac Arrest

2020 ◽  
Vol 30 (4) ◽  
pp. 224-232
Author(s):  
Yasaman Borghei ◽  
Mohammad Taghi Moghadamnia ◽  
Abdolhossein Emami Sigaroudi ◽  
Ehsan Kazemnezhad Leili
Keyword(s):  
Climate Change ◽  
Cardiac Arrest ◽  
Cardiopulmonary Resuscitation ◽  
Atmospheric Pressure ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Early Warning Systems ◽  
Increased Risk ◽  
Medical Care Team ◽  
Hospital Cardiac Arrest

Introduction: Climate change, which affects human health, is one of the most important public health concerns. Few studies have examined the effects of humidity and atmospheric pressure as risk factors on the cardiac system and Out-of-hospital Cardiac Arrest. Objective: This study aimed to determine the relationship between climatic variables (humidity and atmospheric pressure) with Out-of-hospital Cardiac Arrest , and its outcome over 3 years (2016-2018). Materials and Methods: This is an ecological time-series study. Participants were 392 patients with Out-of-hospital Cardiac Arrest referred to Hospital in Rasht City, Iran from 2016 to 2018. Meteorological data and information related to Out-of-hospital Cardiac Arrest and its consequences were collected from reliable resources and were analyzed in R software. Results: Low humidity increased the relative risk of Out-of-hospital Cardiac Arrest (OR=1.54, 95%CI: 1.001-2.69, P=0.001) and failed cardiopulmonary resuscitation (OR=1.76, 95% CI; 1.006-3.79, P=0.001). Higher atmospheric pressure was associated with increased risk of Out-of-hospital Cardiac Arrest (OR=1.16, 95%CI; 1.001-1.78, P=0.001) and unsuccessful cardiopulmonary resuscitation (OR=1.039, 95% CI; 1.005-1.91, P=0.001). Conclusion: Decreased humidity and increased atmospheric pressure are associated with an increased number of Out-of-hospital Cardiac Arrest cases and failure of cardiopulmonary resuscitation. Informing people with cardiovascular disease to avoid such weather conditions, as well as preparing the medical care team and designing early warning systems, can reduce the adverse effects of climate change on the heart.

scholarly journals Insulator Contamination Perception Based on Feature Fusion of Infrared Image and Meteorological Parameters

2021 ◽  
Vol 9 ◽  
Author(s):  
Hongxia Wang ◽  
Bo Wang ◽  
Min Li ◽  
Peng Luo ◽  
Hengrui Ma ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Meteorological Parameters ◽  
Feature Fusion ◽  
Low Cost ◽  
Infrared Image ◽  
Weather Conditions ◽  
Power Grids ◽  
Pollution Level ◽  
Stable Operation ◽  
Fusion Model

Polluted insulators seriously threaten the safe and stable operation of power grids, which attaches great significance to insulator contamination perception. Among the present methods, the non-contact approaches based on infrared images have gradually been widely used, as they are much more safe and are of low cost. However, the thermal effect of insulators is largely affected by meteorological conditions, which makes the infrared image-based methods less accurate. To solve the above problem, we take infrared image and meteorological parameters including humidity and temperature as input, and propose a feature fusion model to perceive insulator contamination in different weather conditions. Firstly, different feature extraction networks are used to perform feature extraction on the two types of data; secondly, the two features are concatenated to fuse together; thirdly, further feature extraction is performed and contamination is classified according to the pollution severity. Case studies show that the proposed method can better explore the relationship between humidity, temperature and pollution level of the insulators, thus can better separate the contamination grades and outperform the conventional infrared image based methods.

scholarly journals Evaporative Mist Cooling as Heat Dissipation Technique: Experimental Assessment and Modelling

2020 ◽  
Vol 10 (17) ◽  
pp. 6026
Author(s):  
MCarmen Guerrero Delgado ◽  
José Sánchez Ramos ◽  
Servando Álvarez Domínguez ◽  
Francisco Toral Ulloa ◽  
José Antonio Tenorio Ríos
Keyword(s):  
Climate Change ◽  
Heat Dissipation ◽  
Low Cost ◽  
Weather Conditions ◽  
Well Being ◽  
Simplified Model ◽  
Cooling Power ◽  
Attractive Alternative ◽  
Systems Research ◽  
Mist Cooling

The severity of extreme weather conditions brought on by climate change are conditioning quality of life, economic development, and well-being in today’s cities. Conventional measures have been shown to be insufficient for tackling climate change and must be supplemented with ecofriendly approaches. Hence, the scientific community’s endeavor to develop natural cooling techniques that lower energy consumption while delivering satisfactory comfort levels. For its simplicity and low cost, evaporative cooling has gained in popularity in recent years. The substantial cooling power to be drawn from evaporative mist cooling, makes it an attractive alternative to conventional systems. Research conducted to date on the technique has focused on producing cold air, whilst cooling the water involved has been neither assessed nor experimentally validated. No readily applicable simplified model for the system able to use operating parameters as input variables has been defined either. The present study consequently aimed to experimentally assess the cooling power of the evaporation of sprayed water and experimentally validate a simplified model to assess and design such systems. The findings confirmed the cooling power of the technique, with declines in water temperature of up to 6 °C, and with it the promise afforded by this natural air conditioning method. Finally, simplified model developed allows to evaluate this technique like a conventional system for producing fresh water.

Buster Keaton’s Climate Change

2018 ◽  
Author(s):  
Jennifer Fay
Keyword(s):  
Climate Change ◽  
World War I ◽  
Storm Surges ◽  
Weather Conditions ◽  
Detailed Knowledge ◽  
World War ◽  
Precise Control ◽  
Naturally Occurring ◽  
Peter Sloterdijk ◽  
Slapstick Comedy

Much of Buster Keaton’s slapstick comedy revolves around his elaborate outdoor sets and the crafty weather design that destroys them. In contrast to D. W. Griffith, who insisted on filming in naturally occurring weather, and the Hollywood norm of fabricating weather in the controlled space of the studio, Keaton opted to simulate weather on location. His elaborately choreographed gags with their storm surges and collapsing buildings required precise control of manufactured rain and wind, along with detailed knowledge of the weather conditions and climatological norms on site. Steamboat Bill, Jr. (1928) is one of many examples of Keaton’s weather design in which characters find themselves victims of elements that are clearly produced by the off-screen director. Keaton’s weather design finds parallels in World War I strategies of creating microclimates of death (using poison gas) as theorized by Peter Sloterdijk.

scholarly journals Rain Erosion Maps for Wind Turbines Based on Geographical Locations: A Case Study in Ireland and Britain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack
Keyword(s):  
Wind Turbine ◽  
Western Europe ◽  
Meteorological Data ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Annual Rainfall ◽  
Wind Turbine Blades ◽  
Weather Patterns ◽  
The Uk

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.

scholarly journals Overheating Risk and Energy Demand of Nordic Old and New Apartment Buildings during Average and Extreme Weather Conditions under a Changing Climate

2021 ◽  
Vol 11 (9) ◽  
pp. 3972
Author(s):  
Azin Velashjerdi Farahani ◽  
Juha Jokisalo ◽  
Natalia Korhonen ◽  
Kirsti Jylhä ◽  
Kimmo Ruosteenoja ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Living Room ◽  
Extra Energy ◽  
Cooling Unit ◽  
Indoor Conditions

The global average air temperature is increasing as a manifestation of climate change and more intense and frequent heatwaves are expected to be associated with this rise worldwide, including northern Europe. Summertime indoor conditions in residential buildings and the health of occupants are influenced by climate change, particularly if no mechanical cooling is used. The energy use of buildings contributes to climate change through greenhouse gas emissions. It is, therefore, necessary to analyze the effects of climate change on the overheating risk and energy demand of residential buildings and to assess the efficiency of various measures to alleviate the overheating. In this study, simulations of dynamic energy and indoor conditions in a new and an old apartment building are performed using two climate scenarios for southern Finland, one for average and the other for extreme weather conditions in 2050. The evaluated measures against overheating included orientations, blinds, site shading, window properties, openable windows, the split cooling unit, and the ventilation cooling and ventilation boost. In both buildings, the overheating risk is high in the current and projected future average climate and, in particular, during exceptionally hot summers. The indoor conditions are occasionally even injurious for the health of occupants. The openable windows and ventilation cooling with ventilation boost were effective in improving the indoor conditions, during both current and future average and extreme weather conditions. However, the split cooling unit installed in the living room was the only studied solution able to completely prevent overheating in all the spaces with a fairly small amount of extra energy usage.

scholarly journals Climate Variability Since 1970 and Farmers’ Observations in Northern Ghana

2016 ◽  
Vol 5 (2) ◽  
pp. 41 ◽  
Author(s):  
Emmanuel Nyadzi
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Water Conservation ◽  
Crop Production ◽  
Meteorological Data ◽  
Northern Region ◽  
Northern Ghana ◽  
Climate Variability And Change ◽  
Urban Centers ◽  
Access To Credit

<p>The study examines how farmers’ observations of climate variability and change correspond with 42 years (1970-2011) meteorological data of temperature and rainfall. It shows how farmers in the Northern Region of Ghana adjust to the changing climate and explore the various obstacles that hinder the implementation of their adaptation strategies. With the help of an extension officer, 200 farmers from 20 communities were randomly selected based on their farming records. Temperatures over the last four decades (1970-2009) increased at a rate of 0.04 (± 0.41) ˚C and 0.3(± 0.13)˚C from 2010-2011 which is consistent to the farmers (82.5%) observations. Rainfall within the districts are characterised by inter-annual and monthly variability. It experienced an increased rate of 0.66 (± 8.30) mm from 1970-2009, which was inconsistent with the farmers (81.5%) observation. It however decreased from 2010-2011 at a huge rate of -22.49 (±15.90) mm which probably was the reason majority of the respondents claim rainfall was decreasing. Only 64.5% of the respondents had adjusted their farming activities because of climate variability and change. They apply fertilizers and pesticides, practice soil and water conservation, and irrigation for communities close to dams. Respondents desire to continue their current adaptation methods but may in the future consider changing crop variety, water-harvesting techniques, change crop production to livestock keeping, and possibly migrate to urban centers. Lack of climate change education, low access to credit and agricultural inputs are some militating factors crippling the farmers’ effort to adapt to climate change.</p>

Sign in / Sign up

Export Citation Format

Share Document