Human-generated aerosol pollution gradually modifies the atmospheric chemical and physical attributes, resulting in significant changes in weather patterns and detrimental effects on agricultural yields. The current study assesses the loss in agricultural productivity due to weather and anthropogenic aerosol variations for rice and maize crops through the analysis of time series data of India spanning from 1998 to 2019. The average values of meteorological variables like maximum temperature (TMAX), minimum temperature (TMIN), rainfall, and relative humidity, as well as aerosol optical depth (AOD), have also shown an increasing tendency, while the average values of soil moisture and fraction of absorbed photosynthetically active radiation (FAPAR) have followed a decreasing trend over that period. This study\'s primary finding is that unusual variations in weather variables like maximum and minimum temperature, rainfall, relative humidity, soil moisture, and FAPAR resulted in a reduction in rice and maize yield of approximately (2.55%, 2.92%, 2.778%, 4.84%, 2.90%, and 2.82%) and (5.12%, 6.57%, 6.93%, 6.54%, 4.97%, and 5.84%), respectively. However, the increase in aerosol pollution is also responsible for the reduction of rice and maize yield by 7.9% and 8.8%, respectively. In summary, the study presents definitive proof of the detrimental effect of weather, FAPAR, and AOD variability on the yield of rice and maize in India during the study period. Meanwhile, a time series analysis of rice and maize yields revealed an increasing trend, with rates of 0.888 million tons/year and 0.561 million tons/year, respectively, due to the adoption of increasingly advanced agricultural techniques, the best fertilizer and irrigation, climate-resilient varieties, and other factors. Looking ahead, the ongoing challenge is to devise effective long-term strategies to combat air pollution caused by aerosols and to address its adverse effects on agricultural production and food security.

BACKGROUND: Climate change increasingly impacts health, particularly of rural populations in sub-Saharan Africa due to their limited resources for adaptation. Understanding these impacts remains a challenge, as continuous monitoring of vital signs in such populations is limited. Wearable devices (wearables) present a viable approach to studying these impacts on human health in real time.
OBJECTIVE: The aim of this study was to assess the feasibility and effectiveness of consumer-grade wearables in measuring the health impacts of weather exposure on physiological responses (including activity, heart rate, body shell temperature, and sleep) of rural populations in western Kenya and to identify the health impacts associated with the weather exposures.
METHODS: We conducted an observational case study in western Kenya by utilizing wearables over a 3-week period to continuously monitor various health metrics such as step count, sleep patterns, heart rate, and body shell temperature. Additionally, a local weather station provided detailed data on environmental conditions such as rainfall and heat, with measurements taken every 15 minutes.
RESULTS: Our cohort comprised 83 participants (42 women and 41 men), with an average age of 33 years. We observed a positive correlation between step count and maximum wet bulb globe temperature (estimate 0.06, SE 0.02; P=.008). Although there was a negative correlation between minimum nighttime temperatures and heat index with sleep duration, these were not statistically significant. No significant correlations were found in other applied models. A cautionary heat index level was recorded on 194 (95.1%) of 204 days. Heavy rainfall (>20 mm/day) occurred on 16 (7.8%) out of 204 days. Despite 10 (21%) out of 47 devices failing, data completeness was high for sleep and step count (mean 82.6%, SD 21.3% and mean 86.1%, SD 18.9%, respectively), but low for heart rate (mean 7%, SD 14%), with adult women showing significantly higher data completeness for heart rate than men (2-sided t test: P=.003; Mann-Whitney U test: P=.001). Body shell temperature data achieved 36.2% (SD 24.5%) completeness.
CONCLUSIONS: Our study provides a nuanced understanding of the health impacts of weather exposures in rural Kenya. Our study\'s application of wearables reveals a significant correlation between physical activity levels and high temperature stress, contrasting with other studies suggesting decreased activity in hotter conditions. This discrepancy invites further investigation into the unique socioenvironmental dynamics at play, particularly in sub-Saharan African contexts. Moreover, the nonsignificant trends observed in sleep disruption due to heat expose the need for localized climate change mitigation strategies, considering the vital role of sleep in health. These findings emphasize the need for context-specific research to inform policy and practice in regions susceptible to the adverse health effects of climate change.

This paper introduces a novel approach to modeling malaria incidence in Nigeria by integrating clustering strategies with regression modeling and leveraging meteorological data. By decomposing the datasets into multiple subsets using clustering techniques, we increase the number of explanatory variables and elucidate the role of weather in predicting different ranges of incidence data. Our clustering-integrated regression models, accompanied by optimal barriers, provide insights into the complex relationship between malaria incidence and well-established influencing weather factors such as rainfall and temperature.We explore two models. The first model incorporates lagged incidence and individual-specific effects. The second model focuses solely on weather components. Selection of a model depends on decision-makers priorities. The model one is recommended for higher predictive accuracy. Moreover, our findings reveal significant variability in malaria incidence, specific to certain geographic clusters and beyond what can be explained by observed weather variables alone.Notably, rainfall and temperature exhibit varying marginal effects across incidence clusters, indicating their differential impact on malaria transmission. High rainfall correlates with lower incidence, possibly due to its role in flushing mosquito breeding sites. On the other hand, temperature could not predict high-incidence cases, suggesting that other factors other than temperature contribute to high cases.Our study addresses the demand for comprehensive modeling of malaria incidence, particularly in regions like Nigeria where the disease remains prevalent. By integrating clustering techniques with regression analysis, we offer a nuanced understanding of how predetermined weather factors influence malaria transmission. This approach aids public health authorities in implementing targeted interventions. Our research underscores the importance of considering local contextual factors in malaria control efforts and highlights the potential of weather-based forecasting for proactive disease management.

BACKGROUND: In confined waters, ships run a high risk of groundings, contact, sinkings and near misses. In such waters the maritime traffic is dense, the waterway is narrow, the depth is limited, and tides and currents are constantly changing.
METHODS: From 2009-2019, 75 accidents were investigated in the estuary of the Seine. Weather conditions and perceived fatigue were studied. From May to June 2020, 114 seafarers, 34 pilots and 80 captains, responded to a questionnaire focusing on the use of Pilot Portable Units (PPU) and Electronic Chart Display Information Systems (ECDIS).
RESULTS: The 75 accidents corresponded to an average of 6.8 ± 3.2 accidents per year. Groundings were the most frequent accidents (35%, n = 26) followed by contact accidents with the quayside (25%, n = 19), between ships or tugs while manoeuvring (8%, n = 6) or while sailing (1%, n = 1). There was no loss of vessels nor fatalities of crew members. In poor weather conditions, there were 76% more accidents than in normal conditions (4.4 ± 2.5 accidents/10,000 movements versus 2.5 ± 1.9 accidents/10,000 movements, p < 0.03). Almost all the accidents (96%) were related to human errors of judgment (81%), or negligence (53%), or both (39). Perceived fatigue was probably in cause in 6 accidents. Only 3 accidents were related to mechanical causes. Through the questionnaires, 69% of the pilots complained of difficulties in mastering the devices and software. They felt distracted by alarms which affected their attention while navigating. They requested training on a simulator. Concerning ship captains, 83% felt comfortable with ECDIS devices yet only 20% were able to configure the ECDIS correctly.
CONCLUSIONS: In the Seine estuary, 75 accidents occurred within the 11 year-study. Risk factors were poor weather conditions and human error. PPU and ECDIS were considered as useful tools in the prevention of accidents. However, pilots and captains requested more thorough training in their use.

OBJECTIVE: Cervicofacial lymphadenitis caused by non-tubercular mycobacterial (NTM) infections has the highest infection rate in children. Our objective was to assess patient demographics, treatment methods, and the impact of weather and geography on the incidence of disease in patients with NTM cervicofacial lymphadenitis.
METHODS: The Pediatric Health Information System (PHIS) database was queried for data on all patients diagnosed with concurrent cervicofacial lymphadenopathy and NTM infection from 2004 to 2022. We assessed the association between weather patterns and NTM cervicofacial lymphadenitis by collecting monthly weather data from the NOAA National Center for Environmental Information. Incidence rates were calculated by dividing the number of cases by the total hospital discharges during the study period.
RESULTS: Among 47 PHIS hospitals, there were 992 diagnoses of NTM cervicofacial lymphadenitis. The average age at diagnosis was 2 [IQR, 2-4], with 59 % female. Drainage of skin abscesses or lesions was performed for 93 (9.4 %) patients, while 15 (1.5 %) had an excisional procedure of the CPT codes assessed. The most common antibiotics utilized were cephalosporins (28 %), macrolides (27 %), and rifampin (12 %). The most common treatment method was surgery with antibiotics (37 %) followed by no treatment at all (35 %), surgery alone (17 %), and antibiotics alone (10 %). Of the 28 states included in the analysis, Washington (IR: 3.5) and Nebraska (IR: 3.3) had the highest incidence rates (IR) of NTM cervical lymphadenitis. The cases were relatively equally distributed across the different weather seasons within each U.S. geographic region. However, the overall average wind speed was weakly associated with increasing the risk of diagnosis when utilizing a mixed effect zero-inflated negative binomial model (Incidence Ratio: 1.07, 95 % CI: (1.01-1.14), p = 0.035).
CONCLUSIONS: Our results indicate that the most common treatment method utilized in patients within our cohort with NTM cervicofacial lymphadenitis was the concurrent use of surgery and antibiotics. Our results also indicate there may be variation in the incidence rate among different states, but additional studies are needed as our cohort only included approximately 50 % of states within the U.S.

UNASSIGNED: The incidence of hospitalizations for cardiovascular events has been associated with specific weather conditions and air pollution. A comprehensive model including the interactions between various environmental factors remains to be developed.
UNASSIGNED: The purpose of this study was to develop a comprehensive model of the association between weather patterns and the incidence of cardiovascular events and use this model to forecast near-term spatiotemporal risk.
UNASSIGNED: We present a spatiotemporal analysis of the association between atmospheric data and the incidence rate of hospital admissions related to heart failure (922,132 episodes), myocardial infarction (521,988 episodes), and ischemic stroke (263,529 episodes) in ∼24 million people in Canada between 2007 and 2017. Our hierarchical Bayesian model captured the spatiotemporal distribution of hospitalizations and identified weather and air pollution-related factors that could partially explain fluctuations in incidence.
UNASSIGNED: Models that included weather and air pollution variables outperformed models without those covariates for most event types. Our results suggest that environmental factors may interact in complex ways on human physiology. The impact of environmental factors was magnified with increasing age. The weather and air pollution variables included in our models were predictive of the future incidence of heart failure, myocardial infarction, and ischemic strokes.
UNASSIGNED: The increasing importance of environmental factors on cardiovascular events with increasing age raises the need for the development of educational materials for older patients to recognize environmental conditions where exacerbations are more likely. This model could be the basis of a forecasting system used for local, short-term clinical resource planning based on the anticipated incidence of events.

OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a major public health concern, affecting over 200 million people worldwide in 2019. The prevalence of COPD has risen by 40% from 1990 to 2010 and continued to increase by 13% from 2010 to 2019, causing over 3 million deaths globally in 2019, ranking it as the third leading cause of death. This study explored how daily weather changes relate to the number of COPD-related emergency department (ED) visits.
METHODS: We collected data on daily COPD-related ED visits in 2017 in Pécs along with corresponding meteorological data to analyze this connection.
RESULTS: High diurnal temperature range (DTR) and day-to-day variability in dew point were linked to a 4.5% increased risk of more COPD-related ED visits. Notably, DTR had a stronger impact on males, contributing to a 6.3% increase, while dew point variability significantly affected males with an odds ratio (OR) of 1.083. (OR=1.083). Stratifying by age revealed heightened risks for those aged 30-39 (43.5% increase) and 50-59 (7.6% increase). Females aged 30-39 and 50-59 faced elevated risks of 42.7% and 9.1%, respectively, whereas males aged 60-69 showed a 9.8% increase.
CONCLUSIONS: Our findings highlight the influence of weather variations on COPD-related ED visits, with nuanced effects based on age and sex.

Climate change and formation of regional weather features increase both direct (immediate effects of extremal temperature and other weather and climatic anomalies) and indirect (environmental deterioration, etc.) consequences of global climate change. The development of investigations of medical weather assessment, medical and meteorological forecasting system, the use of treatment and preventive measures give the opportunity to prepare for weather biotropic conditions and reduce weather-conditioned exacerbations.
OBJECTIVE: To assess the clinical effectiveness of non-drug comprehensive methods, including balneotherapy and physiotherapy, in patients with somatic diseases, complicated by increased meteosensitivity, depending on the features of weather conditions in the Moscow region.
METHODS: The study included 120 patients diagnosed with «osteoarthrosis/osteoarthritis» with predominant hip and knee joint damage. The majority of patients had comorbidities, namely hypertensive disease (67.2%), ischemic heart disease (32.8%), chronic obstructive pulmonary disease and bronchial asthma (10.8%), grade II-III obesity (10%) and compensated diabetes mellitus (9.2%). The severity and main symptoms of the meteopathic reactions\' manifestation were assessed by questionnaires consisting of three blocks, HAM, SF-36 tests and psychological stress scale. Medical and meteorological assessment of weather conditions in Moscow included analysis of the main weather-forming factors for 4 main synoptic observations in 10-minute mode for current and predictive 2 days, as well as daily characteristics of solar activity. Treatment methods included alternating magnetic field (AMF) procedures, general sodium chloride baths, massage and rehabilitation exercises (RE) (1st group); AMF, «dry» carbon dioxide baths, applications with brine on the affected joints and RE (2nd group); AMF, «dry» radon baths, applications with brine and RE (3rd group).
RESULTS: The conducted studies have revealed the trigger role of most biotropic combinations of weather-forming factors that provoke exacerbation in patients with joint diseases. Sodium chloride, «dry» carbon dioxide and radon baths combined with AMF, applications with brine on the affected joints and RE are pathogenetically justified and contribute to increase of adaptive potential, functional reserves of the body and provide significantly high (p<0.05) meteocorrective action.
CONCLUSIONS: The obtained results can be used for rehabilitation of patients with joint diseases complicated by increased meteosensitivity.
Изменение климата и формирование региональных особенностей погоды усиливают как прямые (непосредственные эффекты экстремальных температурных и других погодно-климатических аномалий), так и косвенные (ухудшение качества окружающей среды и др.) последствия глобального изменения климата. Развитие исследований медицинской оценки погоды, системы медико-метеорологического прогнозирования, использование лечебно-профилактических мер дает возможность подготовиться к погодным биотропным условиям и снизить погодообусловленные обострения.
UNASSIGNED: Оценить клиническую эффективность немедикаментозных комплексных методов, включающих бальнео- и физиотерапию, у пациентов с соматическими заболеваниями, осложненными повышенной метеочувствительностью, в зависимости от особенностей погодных условий Московского региона.
UNASSIGNED: В исследование было включено 120 пациентов с установленным диагнозом: «остеоартроз/остеоартрит» с преимущественным поражением тазобедренных и коленных суставов. У большинства пациентов имелись сопутствующие заболевания: гипертоническая болезнь (67,2%), ишемическая болезнь сердца (32,8%), хроническая обструктивная болезнь легких и бронхиальная астма (10,8%), ожирение II—III степени (10%) и сахарный диабет компенсированный (9,2%). Степень тяжести и основные симптомы проявления метеопатических реакций оценивали по анкетам-опросникам, состоящим из трех блоков, по тестам САН, SF-36 и шкале психологического стресса. Медико-метеорологическая оценка погодных условий Москвы включала анализ основных погодообразующих факторов по 4 основным срокам наблюдения в 10-минутном режиме на текущие и прогностические на 2 сут, а также ежедневные характеристики солнечной активности. Методики лечения включали воздействие переменным магнитным полем (ПеМП), общие хлоридные натриевые ванны, массаж и лечебную физкультуру (ЛФК) (1-я группа); ПеМП, «сухие» углекислые ванны, аппликации с рапой на область пораженных суставов и ЛФК (2-я группа); ПеМП, «сухие» радоновые ванны, аппликации с рапой и ЛФК (3-я группа).
UNASSIGNED: Проведенные исследования позволили выявить триггерную роль большинства биотропных комбинаций погодообразующих факторов, провоцирующих обострение у пациентов с заболеваниями суставов. Хлоридно-натриевые, «сухие» углекислые и радоновые ванны в сочетании с ПеМП, аппликациями с рапой на пораженные суставы и ЛФК патогенетически оправданны и способствуют повышению адаптационного потенциала, функциональных резервов организма и оказывают надежно высокое (p<0,05) метеокорригирующее действие.
UNASSIGNED: Полученные результаты могут быть использованы для реабилитации пациентов с заболеваниями суставов, осложненными повышенной метеочувствительностью.

Environmental factors resulting from climate change and air pollution are risk factors for many chronic conditions including dementia. Although research has shown the impacts of air pollution in terms of cognitive status, less is known about the association between climate change and specific health-related outcomes of older people living with dementia. In response, we outline a scoping review protocol to systematically review the published literature regarding the evidence of climate change, including temperature and weather variability, on health-related quality of life, morbidity, mobility, falls, the utilization of health resources, and mortality among older adults living with dementia. This scoping review will be guided by the framework proposed by Arksey and O\'Malley. Electronic search (Medline, Embase, PsycINFO, CINAHL, Scopus, Web of Science) using relevant subject headings and synonyms for two concepts (older people with dementia, weather/ climate change). No publication date or other restrictions will be applied to the search strategy. No language restriction will be applied in order to understand the impact of non-English studies in the literature. Eligible studies must include older adults (65+years) with dementia living in the community and investigate the impacts of climate change and/or weather on their health-related quality of life, morbidity, mobility, falls, use of health resources and mortality. Two independent reviewers will screen abstracts and select those for a full-text review, perform these reviews, select articles for retention, and extract data from them in a standardized manner. This data will then be synthesized and interpreted. OSF registration: DOI: 10.17605/OSF.IO/YRFM8.

The postharvest end-quality of citrus is significantly impacted by pre-harvest factors such as weather, which varies among growing regions. Despite the importance of these factors, the influence of regional weather variations, such as variations in temperature, humidity, wind, vapor pressure deficit (VPD), and solar radiation on postharvest citrus quality, is largely unknown. This study aims to quantify this impact through a physics-driven digital replica of the entire value chain of Valencia oranges, from orchards in South Africa to retail in Europe. Predicted fruit properties data at harvest and hygrothermal sensor data from orchard to retail for different production regions are coupled to a physics-based fruit model to simulate key postharvest fruit quality metrics. These metrics include mass loss, chilling injury, fruit quality index (FQI), remaining shelf life (RSL), total soluble solids (TSS), and titratable acidity (TA). Our digital fruit model reveals that regional weather variability significantly affects fruit quality evolution when comparing data from Nelspruit, Letsitele, and Sunday\'s River Valley (SRV). The impact of weather variations is most pronounced in the temperate oceanic climate of SRV compared to the hotter climates of Letsitele and Nelspruit. Our findings indicate that differences in weather conditions between these growing regions impact postharvest mass loss, FQI, RSL, TSS, and TA of Valencia oranges at retail. The impact is up to 10% variation in mass loss and RSL, 4% in TSS, and 1% in TA among oranges grown in different regions. We show that temperature and humidity variations in the postharvest local transport of oranges between different regions largely increase mass loss by up to twofold, FQI by up to ~ 12%, and RSL by up to ~ 15% at retail. Our research also shows that weather temperature is the most important metric during fruit growth affecting various aspects of postharvest orange quality. This study offers valuable insights into the impact of regional weather variations on the quality of oranges available to consumers. These findings could help the citrus industry enhance growing practices, postharvest logistics, retail marketing, and cold chain strategies, thereby improving product quality and consumer satisfaction.