Prevalence and associations between occupational diseases, emotional exhaustion, and dust mask anxiety among coal miners in Northern China.

This study examined the prevalence and associations between occupational-related diseases, emotional exhaustion, and dust mask anxiety among coal miners in Northern China. The study sampled 506 miners from two coal mines in Northern China. Descriptive (frequency, percentages, and chi-square tests) and inferential (complementary log-log logistic regression) analyses were carried out to assess prevalence and associations. The prevalence of coal mining-related pulmonary diseases was 94%, with 40% and 37% reporting pneumoconiosis and bronchitis respectively. Emphysema and tuberculosis were less prevalent with a total prevalence of 5% while 12% of the miners reported two, three, or four of these diseases. For cardiovascular diseases, 66% of the miners reported 3H (hypertension, hyperlipemia, and hyperglycemia) while heart disease and cerebral infarction were reported by 6% and 2% of the miners respectively. Also, 5% and 2% of the miners reported two or all three of 3H, heart condition, and cerebral infarction. The overall prevalence of cardiovascular diseases was 81% while 82% and 63% of the miners reported experiencing some frequency of emotional exhaustion and dust mask anxiety respectively. The study also identified associations between mining-related diseases, emotional exhaustion, dust mask anxiety, and other demographic, personal habits and work-related factors. Miners with pulmonary diseases were more likely to experience emotional exhaustion and dust mask anxiety. Contrariwise, miners with cardiovascular diseases were less likely to experience dust mask anxiety. Factors such as age, engaging in physical exercises, rhinitis, source of pressure and shift system were also associated with emotional exhaustion and dust mask anxiety. These findings highlight the prevalence of occupational diseases, emotional exhaustion, and dust mask anxiety among coal miners in China. The study emphasizes the need for interventions to address health risks, improve work conditions, and support miners' well-being in the coal mining industry.

Recurrent neural network modeling of multivariate time series and its application in temperature forecasting.

Temperature forecasting plays an important role in human production and operational activities. Traditional temperature forecasting mainly relies on numerical forecasting models to operate, which takes a long time and has higher requirements for the computing power and storage capacity of computers. In order to reduce computation time and improve forecast accuracy, deep learning-based temperature forecasting has received more and more attention. Based on the atmospheric temperature, dew point temperature, relative humidity, air pressure, and cumulative wind speed data of five cities in China from 2010 to 2015 in the UCI database, multivariate time series atmospheric temperature forecast models based on recurrent neural networks (RNN) are established. Firstly, the temperature forecast modeling of five cities in China is established by RNN for five different model configurations; secondly, the neural network training process is controlled by using the Ridge Regularizer (L2) to avoid overfitting and underfitting; and finally, the Bayesian optimization method is used to adjust the hyper-parameters such as network nodes, regularization parameters, and batch size to obtain better model performance. The experimental results show that the atmospheric temperature prediction error based on LSTM RNN obtained a minimum error compared to using the base models, and these five models obtained are the best models for atmospheric temperature prediction in the corresponding cities. In addition, the feature selection method is applied to the established models, resulting in simplified models with higher prediction accuracy.

Exposure to particulate matter (PM2.5) and volatile organic compounds (VOCs), and self-reported health symptoms among fish smokers: A case study in the Western Region of Ghana.

The study aimed to assess the concentrations of particulate matter (PM2.5) and volatile organic compounds (VOCs) produced from the burning of biomass fuel from the smoking of fish. It also sought to determine the proportion of fish smokers reporting health symptoms associated with exposure to these pollutants. A cross-sectional study was conducted among fish smokers at Abuesi in the Western Region of Ghana. Systematic sampling was employed to choose 60 smokehouses for PM2.5 and VOC monitoring. A total of 434 fish smokers were also randomly sampled for the study. Measurements were taken at indoor, outdoor and control locations. The highest concentration of PM2.5 was recorded in the indoor environment. The mean concentration of PM2.5 between the indoor and control environment was significantly different unlike between the outdoor and control environments. The concentration of VOCs systematically varied across indoor, outdoor and control locations. The most reported disease symptoms were eye infection, cough, and headaches. There was a strong positive association between the number of years spent smoking fish and the frequency of eye problems reported by fish smokers. The study demonstrated that fish smokers inside the smokehouse or smoking rooms are exposed to higher PM2.5 and VOC levels which are detrimental to their health. There is therefore the need for further studies to explore other energy sources which may have a lesser negative effect on human health.

Perceived risk of contracting COVID-19 among healthcare workers in Ghana: A cross-sectional study.

Background and Aims: The COVID-19 pandemic has stretched many healthcare systems, and it is having detrimental impacts on healthcare workers at the forefront, fighting to save lives. This study sought to assess the relationship between job factors and the perceived risk of contracting COVID-19 at the workplace among healthcare workers and how the relationships are augmented when sociodemographic characteristics are taken into consideration in a limited resource setting (Ghana). Methods: A cross-sectional survey of 455 respondents was conducted. Results: Overall, 5.93% of the respondents perceived low risk of contracting COVID-19 while 69.45% and 24.62% perceived medium and high risks of contracting COVID-19 at the workplace, respectively. The odds of a high perceived risk versus the combined medium and low perceived risk of contracting COVID-19 at the workplace was 0.461 times lower for healthcare workers who rated their workplace safety systems as good and 0.515 and 0.170 times lower for healthcare workers who indicated occasional and frequent work environment situational assessment (situational awareness), respectively. The odds of high perceived risk were 2.239 times higher for workers who are always emotionally fatigued and 1.829 times higher for healthcare workers who frequently contribute personally to workplace decision-making. The perceived risk of contracting COVID-19 at the workplace was also 1.780 times higher for healthcare workers with tertiary education. Conclusion: In terms of health and safety at work, this study recommends that there should be an improvement in implementing safety protocols at health facilities to increase the confidence of healthcare workers. Furthermore, social and psychological support and work environment situational assessment, which can reduce stress and anxiety levels among the healthcare workers, should be implemented if contributing factors such as working outside their area of expertise or job scope cannot be eliminated.

Examining the dynamics of the relationship between water pH and other water quality parameters in ground and surface water systems.

This study evaluated the relationship between water pH and the physicochemical properties of water while controlling for the influence of heavy metals and bacteriological factors using a nested logistic regression model. The study further sought to assess how these relationships are compared across confined water systems (ground water) and open water systems (surface water). Samples were collected from 100 groundwater and 132 surface water locations in the Tarkwa mining area. For the zero-order relationship in groundwater, EC, TDS, TSS, Ca, SO42-, total alkalinity, Zn, Mn, Cu, faecal and total coliform were more likely to predict optimal water pH. For surface water however, only TSS, turbidity, total alkalinity and Ca were significant predictors of optimal pH levels. At the multivariate level for groundwater, TDS, turbidity, total alkalinity and TSS were more likely to predict optimal water pH while EC, Mg, Mn and Zn were associated with non-optimal water pH. For the surface water system, turbidity, Ca, TSS, NO3, Mn and total coliform were associated with optimal water pH while SO42-, EC, Zn, Cu, and faecal coliform were associated with non-optimal water pH. The non-robustness of predictors in the surface water models were conspicuous. The results indicate that the relationship between water pH and other water quality parameters are different in different water systems and can be influenced by the presence of other parameters. Associations between parameters are steadier in groundwater systems due to its confined nature. Extraneous inputs and physical variations subject surface water to constant variations which reflected in the non-robustness of the predictors. However, the carbonate system was influential in how water quality parameters associate with one another in both ground and surface water systems. This study affirms that chemical constituents in natural water bodies react in the environment in far more complicated ways than if they were isolated and that the interaction between various parameters could predict the quality of water in a particular system.

Association between health and safety perceptions of COVID-19 vaccine and its uptake in Ghana.

Background: Attitudes towards vaccines have affected COVID-19 vaccination programs in many countries. This study sought to evaluate the effects of general perceptions on the safety and health concerns and the confidence in COVID-19 vaccines on its uptake in Ghana. Methods: A cross-sectional online survey was conducted between January and March 2021. The outcome variables for this study were "Taking mandatory COVID-19 vaccine" and "Taking voluntary COVID-19 vaccine". The data were subjected to both descriptive (frequency, percentages, and chi-square tests) and inferential (complementary log-log logistic regression) analyses. Results: Out of 620 Ghanians who participated in the survey, about 80% of the participants believed that vaccines were good for one's health and 73% had confidence on COVID-19 vaccine safety; although 81% of the respondents were particularly concerned about the source of the vaccine. 79% and 71% of respondents indicated their willingness for mandatory and voluntary COVID-19 vaccination, respectively. In all operationalized regression models, Ghanaians who believed that vaccines are healthy (OR = 1.998, Cl = 1.345-2.968; OR = 1.652, Cl = 1.050-2.601) and those who had confidence in a COVID-19 vaccine safety (OR = 4.405, Cl = 3.136-6.188; OR = 8.340, Cl = 5.471-12.713) were more likely to take a mandatory or voluntary COVID-19 vaccine compared to those who thought and believed otherwise. Individual preferences and/or intentions towards COVID-19 vaccine uptake and uptake route (i.e., mandatory, voluntary) were influenced by multifaceted determinants: biosocial (age, marital status, education), socio-cultural (religion, source of vaccine as a concern), and location (geographical zone) factors. Conclusion: To consolidate and possibly increase vaccine uptake in response to the COVID-19 pandemic in Ghana, health education and promotion programs should aim at creating awareness on the benefits of vaccine uptake while addressing the health and safety concerns on the potential side effects through evidence-based community messaging from credible sources. It is important to show specific commitment to transparency and reliable information to build public trust by decision-makers.

Mercury Exposure in Artisanal Mining: Assessing the Effect of Occupational Activities on Blood Mercury Levels Among Artisanal and Small-Scale Goldminers in Ghana.

A cross-sectional survey of 425 male artisanal and small-scale goldminers (ASGM) was conducted to examine the relationship between the occupational activities of the miners and their blood mercury levels while controlling for relevant biosocial and socio-cultural factors. The data was subjected to descriptive and inferential statistics. Initial findings showed that 43.29% of the ASGM miners had blood mercury levels above the occupational exposure threshold. Among the occupational factors, ASGM miners who amalgamate gold, burn amalgam, and ASGM miners who smelt gold were 2.260, 1.881, and 2.094 times respectively more likely to have high blood mercury levels as compared to ASGM miners who did not carry out these activities. Also, ASGM miners who suck excess mercury with their mouth (OR = 0.197, p < 0.001) were less likely to have high blood mercury levels. For the biosocial and socio-cultural attributes, high blood mercury levels was less likely among older ASGM miners (OR = 0.507, p < 0.05). Inversely, high blood mercury levels was more likely among ASGM miners who are married (OR = 1.627, p < 0.05), ASGM miners with junior (OR = 2.240, p < 0.001) and senior (OR = 1.575, p < 0.05) high school education, and ASGM miners who have 6-10 years (OR = 3.802, p < 0.001) and above 10 years (OR = 2.591, p < 0.001) work experience. ASGM miners who amalgamate gold, burn amalgam, and smelt gold are exposed to mercury and are at risk of mercury poisoning. This could, however, be minimized with the right capturing devices and personal protective equipment. This notwithstanding, unsafe, and unsustainable occupational practices such as working in mercury contaminated water and sucking excess mercury with the mouth should be discouraged.

Occupational health and safety in mining: Predictive probabilities of Personal Protective Equipment (PPE) use among artisanal goldminers in Ghana.

Artisanal goldminers in Ghana are exposed to various levels and forms of health, safety and environmental threats. Without the required legislation and regulations, artisanal miners are responsible for their own health and safety at work. Consequently, understanding the probabilities of self-protection at work by artisanal goldminers is crucial. A cross-sectional survey of 500 artisanal goldminers was conducted to examine the probabilities of personal protective equipment use among artisanal goldminers in Ghana. The data was subjected to both descriptive and inferential statistics. Initial findings showed that personal protective equipment use among artisanal miners was 77.4%. Overall, higher probabilities of personal protective equipment use was observed among artisanal goldminers who work in good health and safety conditions as compared to artisanal miners who work in poor health and safety conditions. Also, personal protective equipment use was more probable among the highly educated artisanal goldminers, miners who regularly go for medical screening and the most experienced miners. Additionally, personal protective equipment use was more probable among artisanal miners who work in non-production departments and miners who work in the medium scale subsector. Inversely, personal protective equipment use was less probable among female artisanal miners and miners who earn more monthly income ($174 and above). To increase self-care and safety consciousness in artisanal mining, there is the need for a national occupational health and safety legislation in Ghana. Also, interventions and health promotion campaigns for better occupational conditions in artisanal mining should target and revise the health and safety related workplace programs and conditions.

Comparative assessment of the relationship between coliform bacteria and water geochemistry in surface and ground water systems.

The occurrence of pollution indicator bacteria (total and faecal coliform) has been used as a sanitary parameter for evaluating the quality of drinking water. It is known that these indicators are associated with disease causing organisms which are of great concern to public health. This study assessed the relationship between coliform bacteria and water geochemistry in surface and ground water systems in the Tarkwa mining area using logistic regression models. In surface water sources, higher values of chloride (OR = 0.891, p<005), phosphates (OR = 0.452, p<0.05), pH (OR = 0.174, p<0.05) and zinc (OR = 0.001, p<0.05) were associated with lower odds of faecal coliform contamination. In groundwater sources, higher values of phosphates (OR = 0.043, p<0.001), total dissolved solids (OR = 0.858, p<0.05), turbidity (OR = 0.996, p<0.05) and nickel (OR = 6.09E-07, p<0.05) implied non-contamination by faecal coliform. However, higher values of electrical conductivity (OR = 1.097, p<0.05), nitrates (OR = 1.191, p<0.05) and total suspended solids (OR = 1.023, p<0.05) were associated with higher odds of faecal coliform contamination of groundwater sources. Nitrates and total suspended solids, in this case, were completely mediated by the heavy metals. For total coliform in surface water systems, higher values of magnesium (OR = 1.070, p<0.05) was associated with higher odds of total coliform contamination while higher values of phosphates (OR = 0.968, p<0.05) was associated with lower odds of total coliform contamination although the presence of heavy metals completely mediated these relationships. For ground water systems, higher values of pH (OR = 0.083, p<0.05), phosphates (OR = 0.092, p<0.05), turbidity (OR = 0.950, p<0.05) and chloride (OR = 0.860, p<0.05) were associated with lower odds of total coliform contamination. However, higher values of total suspended solids (OR = 1.054, p<0.05) and nitrates (OR = 1.069, p<0.05) implied contamination of total coliform in ground water sources. The relationship between nitrates and total coliform were mediated by the heavy metals. This study establishes the need to monitor, manage and remediate surface and ground water sources for potential disease causing microbes in ways that takes into consideration the factors that create different conditions in the two water systems. This study validates the usefulness of statistical models as tools for preventing surface and ground water contamination.

Assessing the effect of working conditions on routine medical checkup among artisanal goldminers in Ghana.

The socio-economic impacts of unforeseen health challenges among mine workers cannot be overemphasized. Due to the nature of artisanal mining in Ghana, workers are responsible for their own health care. This, however, necessitates the need for insight into the dynamics of self-care among artisanal miners. A cross-sectional survey of 500 artisanal gold miners was conducted to explore the relationship between working conditions of artisanal miners and voluntarily going for routine medical checkup, even in the absence of the right support systems, using a nested binary logistic regression. All the working condition variables were robust in predicting routine medical checkup in all three models. In this case, goldminers who reported good health, safety and environmental conditions were more likely to go for routine medical checkup as compared to their co-workers who reported poor health, safety and environmental conditions. Contrariwise, miners who reported good economic conditions were less likely to go for routine medical checkup as compared to their counterparts who reported poor economic conditions. Also, routine medical checkup was less likely among artisanal miners who did not protect themselves at work and had experienced work related health challenges. For the compositional factors, miners who had senior high school education were more likely to go for routine medical checkup as compared to those with no formal education. Likewise, older miners were more probable to go for routine medical checkup as compared to their younger counterparts. At the contextual level, miners who worked on shift regime and miners who worked in non-production departments were more likely to go for routine medical checkup. The outcome of this study provides insight into the dynamics of self-care amongst artisanal miners and how best to possibly improve it in an attempt to maintain a healthy workforce and its cascading effects. To increase consciousness of self-health care in artisanal mining, there is the need for a national dialogue on how to improve the working conditions of artisanal miners in Ghana.

Managing occupational health among goldminers in Ghana: Modelling the likelihood of experiencing occupational related health problems.

BACKGROUND: The importance of goldmining to Ghana's development cannot be overestimated. However, the associated morbidities and mortalities resulting from occupational exposure to health hazards and the general cost associated with it is critical. In managing occupational health, a simple comprehension of the main determinants of the problem is required. METHODS: A cross-sectional survey of 504 goldminers was fitted to a nested binary logistic regression model to evaluate the independent effect of subsector departments, compositional attributes, contextual factors and working conditions on goldminers' likelihood of experiencing occupational related health problems. RESULTS: Subsector department was robust and persisted in predicting experiencing occupational related health problems in all three models. Goldminers who were in artisanal small scale (ASM) non-production, large scale (LSM) production and LSM non-production were less likely to experience occupational related health problems as compared to their counterparts in ASM production. For the compositional factors, female goldminers were more likely to experience occupational related health problems as compared to their male co-workers. Goldminers who were married and also older miners were more likely to experience occupational related health problems as compared to the unmarried and the relatively younger goldminers. At the contextual level, miners who worked on shift-based schedule and also miners who lived close to mine sites were more likely to experience occupational related health problems. Among the working conditions, goldminers who worked in good health conditions were less likely to experience occupational related health problems. Surprisingly, goldminers who rated their safety conditions as good were more likely to experience occupational related health problems. CONCLUSION: Gold miners are exposed to different health risk scenarios across subsectors and departments. These conditions need critical attention and action from industry stakeholders. Programs that promote self-care culture should be promoted, especially in the ASM subsector. PPE's could be relied on for protection in the mining industry but they should be the last line of defense and not to replace preventive measures and actions.

Assessing sub-regional-specific strengths of healthcare systems associated with COVID-19 prevalence, deaths and recoveries in Africa.

INTRODUCTION: The coronavirus 2019 (COVID-19) has overwhelmed the health systems of several countries, particularly those within the African region. Notwithstanding, the relationship between health systems and the magnitude of COVID-19 in African countries have not received research attention. In this study, we investigated the relationship between the pervasiveness of the pandemic across African countries and their Global Health Security Index (GHSI) scores. MATERIALS AND METHODS: The study included 54 countries in five regions viz Western (16); Eastern (18); Middle (8); Northern (7); and Southern (5) Africa. The outcome variables in this study were the total confirmed COVID-19 cases (per million); total recoveries (per million); and the total deaths (per million). The data were subjected to Spearman's rank-order (Spearman's rho) correlation to determine the monotonic relationship between each of the predictor variables and the outcome variables. The predictor variables that showed a monotonic relationship with the outcome were used to predict respective outcome variables using multiple regressions. The statistical analysis was conducted at a significance level of 0.05. RESULTS: Our results indicate that total number of COVID-19 cases (per million) has strong correlations (rs >0.5) with the median age; aged 65 older; aged 70 older; GDP per capita; number of hospital beds per thousand; Human Development Index (HDI); recoveries (per million); and the overall risk environment of a country. All these factors including the country's commitments to improving national capacity were related to the total number of deaths (per million). Also, strong correlations existed between the total recoveries (per million) and the total number of positive cases; total deaths (per million); median age; aged 70 older; GDP per capita; the number of hospital beds (per thousand); and HDI. The fitted regression models showed strong predictive powers (R-squared>99%) of the variances in the total number of COVID-19 cases (per million); total number of deaths (per million); and the total recoveries (per million). CONCLUSIONS: The findings from this study suggest that patient-level characteristics such as ageing population (i.e., 65+), poverty, underlying co-morbidities-cardiovascular disease (e.g., hypertension), and diabetes through unhealthy behaviours like smoking as well as hospital care (i.e., beds per thousand) can help explain COVID-19 confirmed cases and mortality rates in Africa. Aside from these, other determinants (e.g., population density, the ability of detection, prevention and control) also affect COVID-19 prevalence, deaths and recoveries within African countries and sub-regions.