Estimating the incidence of Venezuelan migration and other socioeconomic factors on urban growth in Colombia.

This study investigates the intricate relationship between Venezuelan migration and urban growth in Colombia from 2018 to 2021. The study employs remote sensing data and social network metrics to uncover migration patterns and their impact on urban expansion. The methodology consists of three stages. Firstly, nighttime satellite imagery is used to analyze year-over-year urban growth in Colombia. Secondly, social network data estimates Venezuelan migration, overcoming challenges of underreporting and informal border crossings. Lastly, an econometric analysis explores the quantitative link between Venezuelan migration and urban growth, integrating socioeconomic variables to address endogeneity. The findings reveal the complex interplay of Venezuelan migration, socioeconomic factors, and urban growth. The study outlines remote sensing analysis, introducing the Anthropogenic Footprint Expansion Index (AFEI) to quantify urban growth. Facebook API data estimates migration trends and explores socioeconomic impacts on urban expansion. The analysis uncovers migration, poverty, aging, and urban population proportion as key factors affecting Colombia's urban landscape. Furthermore, the research underscores how Venezuelan migration affected short-term urban expansion pre- and post-COVID-19. Migration had a notable effect before the pandemic, but this influence waned afterward. The study highlights migration's short-term nature and emphasizes age demographics' role in medium-term dynamics.

Socio-demographic, agricultural, and personal protective factors in relation to health literacy among farmers from all regions of Thailand.

Introduction: Farmers are vulnerable to adverse health effects from pesticide exposure due to their health literacy (HL). Therefore, this study aims to investigate HL among farmers in four main regions of Thailand, investigating socio-demographics, agricultural, and personal protective factors to their HL. Methods: This cross-sectional design study was conducted on 4,035 farmers from January to July 2023. The European Health Literacy Survey Questionnaire-47 items were used to measure HL. Results: Thai farmers had a mean HL score of 34.7 ± 8.7, and the farmers in the North region of Thailand had the highest frequency of limited HL (75.8%). Socio-demographic factors that were associated with HL included gender, region of living, marital status, education level, co-morbidity, and number of family members. Agricultural factors associated with HL included planting status, working hours on farm, spraying pesticides, harvesting crops, pesticide use of >1 type, access information from government officers, access information from posters/brochures, information from online multimedia, and access information from neighbors. Personal protective factors that were associated with HL included wearing a hat, goggles, a rubber apron, and a long-sleeved shirt. Discussion: Our study recommends that strategies and interventions to enhance the HL of farmers should be focused on the target populations, which include men, widows, or divorced, those with low levels of education, those who have co-morbidities, and those who applied pesticides of more than 1 type and improper personal protective equipment (PPE) use. The primary emphasis needs to be on the North region of Thailand, making that the target area to improve health equity in Thailand. These efforts would enhance the HL of farmers and sustainably improve pesticide safety behavior. Additionally, there is an urgent need for supportive measures aimed at altering on-farm practices and promoting education on alternative pest management strategies, particularly non-chemical crop protection, to ensure sustainable agriculture.

Variability in Reproductive Choices: A Comprehensive Analysis of Women's Working Status and Fertility Behavior in Pakistan.

The relationship between women's working status and fertility behavior has been a topic of interest for researchers and policymakers. The societal shifts over time, particularly the increasing participation of women in the workforce, have transformed traditional roles. Women, once primarily perceived as caregivers, are now assuming roles of economic independence. This transformation prompts a re-evaluation of the traditional association between women's working status and fertility behavior. This study aims to investigate the impact of women's working status on fertility behavior using a multistage stratified sampling design. A total of 408 women aged 15 to 49 years were recruited from 2 strata: working and non-working women. The data were collected through face-to-face interviews using a structured questionnaire. Descriptive statistics, cluster analysis, and generalized additive models were used for in-depth analysis of the dataset. An examination of fertility patterns indicates that, on average, working women bear 2.90 live children, while their non-working counterparts have an average of 3.52 children. Stillbirth was reported in 13% of housewives and 15.1% of working women. However, further analysis revealed that the relationship between women's employment status and fertility behavior varied depending on Social and Cultural Norms, Reproductive Rights, Workplace Policies, Economic Independence, Age, and Life Stage. Our findings suggest that promoting access to family-friendly policies and services, as well as challenging gender norms and cultural values, could help address the impact of women's employment on fertility behavior.

Unveiling Sri Lanka's brain drain and labour market pressure: A study of macroeconomic factors on migration.

The purpose of this study is to explore the impact of GDP per capita income (GDPPCI), unemployment, higher education (HE), and economic growth (EG) on migration in Sri Lanka. Numerous global and local studies have explored the influence of macroeconomic and socioeconomic factors on migration. In the Sri Lankan context, fewer studies have probed the impact of GDPPCI, unemployment, HE, and EG on migration, particularly concerning brain drain and domestic labour market pressure. An applied research methodology was adopted, utilising annual data from 1986 to 2022. The statistical data were sourced from reports by the Sri Lanka Bureau of Foreign Employment (SLBFE), the Central Bank of Sri Lanka (CBSL), Labor Force Survey Data from the Department of Census and Statistics (LFSDCS), and University Grants Commissions (UGC). This study utilised the Vector Error Correlation model (VECM), Vector Auto-regression (VAR), and Granger Causality test through STATA. The empirical findings of the VAR model highlighted that GDPPCI and EG negatively impact migration, whereas unemployment and HE positively affect migration. The study's implications demonstrated that GDPPCI, unemployment, HE, and EG were the primary factors influencing the country's migration decisions. These findings will hopefully inform and guide the Sri Lankan government and policymakers for more effective decision-making.

Antenatal care service utilization disparities between urban and rural communities in Ethiopia: A negative binomial Poisson regression of 2019 Ethiopian Demography Health Survey.

BACKGROUND: Although there have been consistent improvements in maternal mortality, it remains high in developing countries due to unequal access to healthcare services during pregnancy and childbirth. Thus, this study aimed to further analyze the variations in the number of antenatal care utilizations and associated factors among pregnant women in urban and rural Ethiopia. METHODS: A total of 3962 pregnant women were included in the analysis of 2019 Ethiopian Demographic and Health Survey data. A negative binomial Poisson regression statistical model was used to analyze the data using STATA version 14.0. An incident rate ratio with a 95% confidence interval was used to show the significantly associated variables. RESULTS: Of the 3962 (weighted 3916.67) pregnant women, about 155 (15.21%) lived in urban and 848 (29.29%) rural residences and did not use antenatal care services in 2019. Women age group 20-24 (IRR = 1.30, 95%CI:1.05-1.61), 25-29 (IRR = 1.56, 95%CI:1.27-1.92), 30-34 (IRR = 1.65, 95%CI:1.33-2.05), and 35-39 years old (IRR = 1.55, 95%CI:1.18-2.03), attending primary, secondary, and higher education (IRR = 1.18, 95%CI:1.07-1.30), (IRR = 1.26, 95%CI:1.13-1.42) and (IRR = 1.25, 95%CI:1.11-1.41) respectively, reside in middle household wealth (IRR = 1.31, 95%CI:1.13-1.52), richer (IRR = 1.45, 95%CI:1.26-1.66) and richest (IRR = 1.68, 95%CI:1.46-1.93) increases the number of antenatal care utilization among urban residences. While attending primary (IRR = 1.34, 95%CI:1.24-1.45), secondary (IRR = 1.54, 95%CI:1.34-1.76) and higher education (IRR = 1.58, 95%CI:1.28-1.95), following Protestant (IRR = 0.76, 95%CI:0.69-0.83), Muslim (IRR = 0.79, 95%CI:0.73-0.85) and Others (IRR = 0.56, 95%CI:0.43-0.71) religions, reside in poorer, middle, richer, and richest household wealth (IRR = 1.51, 95%CI:1.37-1.67), (IRR = 1.66, 95%CI:1.50-1.83), (IRR = 1.71, 95%CI:1.55-1.91) and (IRR = 1.89, 95%CI:1.72-2.09) respectively, being married and widowed/separated (IRR = 1.85, 95%CI:1.19-2.86), and (IRR = 1.95, 95%CI:1.24-3.07) respectively were significantly associated with the number of antenatal care utilization among rural residences. CONCLUSION: The utilization of antenatal care is low among rural residents than among urban residents. To increase the frequency of antenatal care utilization, health extension workers and supporting actors should give special attention to pregnant women with low socioeconomic and educational levels through a safety-net lens.

The effect of demographic stochasticity on Zika virus transmission dynamics: Probability of disease extinction, sensitivity analysis, and mean first passage time.

Viral infections spread by mosquitoes are a growing threat to human health and welfare. Zika virus (ZIKV) is one of them and has become a global worry, particularly for women who are pregnant. To study ZIKV dynamics in the presence of demographic stochasticity, we consider an established ZIKV transmission model that takes into consideration the disease transmission from human to mosquito, mosquito to human, and human to human. In this study, we look at the local stability of the disease-free and endemic equilibriums. By conducting the sensitivity analysis both locally and globally, we assess the effect of the model parameters on the model outcomes. In this work, we use the continuous-time Markov chain (CTMC) process to develop and analyze a stochastic model. The main distinction between deterministic and stochastic models is that, in the absence of any preventive measures such as avoiding travel to infected areas, being careful from mosquito bites, taking precautions to reduce the risk of sexual transmission, and seeking medical care for any acute illness with a rash or fever, the stochastic model shows the possibility of disease extinction in a finite amount of time, unlike the deterministic model shows disease persistence. We found that the numerically estimated disease extinction probability agrees well with the analytical probability obtained from the Galton-Watson branching process approximation. We have discovered that the disease extinction probability is high if the disease emerges from infected mosquitoes rather than infected humans. In the context of the stochastic model, we derive the implicit equation of the mean first passage time, which computes the average amount of time needed for a system to undergo its first state transition.

Return Migration and Fertility: French Overseas Emigrants, Returnees, and Nonmigrants at Origin and Destination.

Although growing research has emphasized the critical importance of studying returns for understanding various aspects of migration processes, knowledge regarding return migrants' fertility behaviors remains limited. This study addresses this knowledge gap by comparing rates of first births and completed fertility among three groups: nonmigrants (at origin), migrants, and return migrants. Using extensive data collected both in the home regions and at destination, we analyze female migration from Martinique, Guadeloupe, French Guiana, and Réunion Island to metropolitan France (European France). We find intermediate fertility behaviors for return migrants relative to nonmigrants and migrants: on average, completed fertility levels are lower among return migrants than nonmigrants but slightly higher among return migrants than migrants. Some of these differences can be attributed to selection into migration and return, although significant gaps persist among women with similar socioeconomic characteristics. Our findings highlight three key observations. First, when migrants return before beginning childbearing, their transition to motherhood closely resembles that of nonmigrants with similar characteristics. Second, the lower fertility rates among prospective return migrants indicate an anticipation of disruption effects. Finally, reduced fertility while residing in metropolitan France translates into lower completed fertility rates for return migrants.

Dynamic impact of demographic features, FDI, and technological innovations on ecological footprint: evidence from European emerging economies.

Climate change effect mitigation is a critical priority for top leaders and communities around the globe. Human-induced environmental issues are affecting humankind's standard of living and development potential and the planetary boundaries. Sustainability objectives aim to enhance environmental quality and ensure sustainable development for all by eliminating social inequalities. This study examines the complex relationships between demographic features, foreign direct investment, technological innovation, and ecological footprint, emphasizing the relevance of population aging, population density, and urbanization in this context. The research uses a selection of emerging European economies during 1995-2018. The reasons for countries' selection are related to the increasing rate of population aging in European countries, the attractiveness for foreign direct investment, the economic growth, and the technological advancement potential these emerging countries possess. In order to investigate the long-run relationship between the selected variables, the study tests the cross-section dependence, homogeneity, and cointegration and uses Konya tests to determine panel causality. Based on Konya methodology, differences between countries in the panel are evidenced and discussed accordingly. Our findings confirm the long-run relationship between environment, technological innovation, population aging, and FDI. The results of this research are highly relevant for policymakers in selected countries for identifying the set of correlations and the relevance of various variables in such national economies. Demographic features such as population aging and population density are critical for Europe, and the results show the impact on the ecological footprint.

Patients' Persistent Symptoms, Clinician Demographics, and Geo-Economic Factors Are Associated with Choice of Therapy for Hypothyroidism by European Thyroid Specialists: The "THESIS" Collaboration.

Background: Hypothyroidism is common, however, aspects of its treatment remain controversial. Our survey aimed at documenting treatment choices of European thyroid specialists and exploring how patients' persistent symptoms, clinician demographics, and geo-economic factors relate to treatment choices. Methods: Seventeen thousand two hundred forty-seven thyroid specialists from 28 countries were invited to participate in an online questionnaire survey. The survey included respondent demographic data and treatment choices for hypothyroid patients with persistent symptoms. Geo-economic data for each country were included in the analyses. Results: The response rate was 32.9% (6058 respondents out of 17,247 invitees). Levothyroxine (LT4) was the initial treatment preferred by the majority (98.3%). Persistent symptoms despite normal serum thyrotropin (TSH) while receiving LT4 treatment were reported to affect up to 10.0% of patients by 75.4% of respondents, while 28.4% reported an increasing such trend in the past 5 years. The principal explanations offered for patients' persistent symptoms were psychosocial factors (77.1%), comorbidities (69.2%), and unrealistic patient expectations (61.0%). Combination treatment with LT4+liothyronine (LT3) was chosen by 40.0% of respondents for patients who complained of persistent symptoms despite a normal TSH. This option was selected more frequently by female thyroid specialists, with high-volume practice, working in countries with high gross national income per capita. Conclusions: The perception of patients' dissatisfaction reported by physicians seems lower than that described by hypothyroid patients in previous surveys. LT4+LT3 treatment is used frequently by thyroid specialists in Europe for persistent hypothyroid-like symptoms even if they generally attribute such symptoms to nonendocrine causes and despite the evidence of nonsuperiority of the combined over the LT4 therapy. Pressure by dissatisfied patients on their physicians for LT3-containing treatments is a likely explanation. The association of the therapeutic choices with the clinician demographic characteristics and geo-economic factors in Europe is a novel information and requires further investigation.

Healthy eating encouragement and socio-demographic factors associated with cognitive development among pre-schoolers: a cross-sectional evaluation in Nepal.

BACKGROUND: Cognitive development in pre-schoolers through healthy eating and socio-demographic support is crucial for their later lives. We investigated healthy eating encouragement, socio-demographic factors and their association with cognitive development in pre-schoolers. METHODS: Quantitative data were collected using a multi-stage random sampling between February and April 2021. Pre-schoolers 36 and 71 months and their primary caregivers were recruited from three local government units of Rupandehi district. We compared healthy eating encouragement, socioeconomic and demographic factors with cognitive development using t-test, one-way analysis of variance and multiple linear regression analysis to identify the predictors of the cognitive development among pre-schoolers. RESULTS: Cognitive development in pre-schoolers is significantly positively associated with age 36-48 months (ß = 0.153; 95% CI: 0.12, 13.96), living in a nuclear family (ß = 0.121; 95% CI: 0.59, 6.88) and following Buddhism (ß = 0.148; 95% CI: 0.88, 14.32). Conversely, children from specific caste/ethnic backgrounds, such as Dalit (ß = -0.126; 95% CI: -10.79, -0.68), Janajati (ß = -0.237; 95% CI: -6.14, -2.09) and non-Dalit Tarai caste or ethnicity (ß = -0.133; 95% CI: -3.46, -0.25) and mothers employed (ß = -0.134; 95% CI: -10.62, -1.44) show significantly lower levels of cognitive development. CONCLUSIONS: The finding shows that socioeconomic factors have an influence on cognitive development and also stimulate the adoption of healthy eating encouragement practices.

The shadow of the family: Historical roots of social trust in Europe.

This study provides new evidence on how historical patterns of household formation shape the present-day level of trust. We test two distinct features of historical family arrangements that might be harmful to trust towards out-groups: (a) family extendedness in terms of the number of household members, and (b) generational hierarchy and gender relations within the household. To conduct our study, we compiled a historical database that reflects family structure and socio-economic development, mostly in the 19th century. The analysis was performed on a sample of 94 historical subnational units within eight contemporary Western and Eastern European countries that participated in the Life in Transition Survey in 2010. We find that cohabitation of several generations within the historical family and power of older generations over the younger are detrimental for out-group trust today. By contrast, family extendedness per se was revealed to have no impact on trust.

Relationship between individual and country-level socio-economic background, USMLE step scores, and demographics of international medical graduates and residency match results.

PURPOSE: Twenty five percent of practicing physicians in the US are International Medical Graduates (IMGs) - physicians who completed their medical school training outside of the United States and Canada. There are multiple studies demonstrating higher socio-economic background is associated with medical school matriculation in the US. However, despite a substantial prevalence of IMGs in the American healthcare system, studies of the association between demographics, socio-economic background, and securing a residency position in the match are lacking. METHODS: We created a survey with questions on residency match-related data and information on personal socio-economic background. An invitation to participate in the study was sent to all IMGs that applied to the included residency programs after the conclusion of the 2022 residency match. We used multivariable logistic regression to compare survey responses to the odds of securing a residency match. RESULTS: The total number of survey respondents was 744 (response rate 15.1%). We found that younger age, higher United States Medical License Examination (USMLE) scores, higher-income country of origin (including the United States), fewer match attempts, applying to fewer specialties, having parents with college degree or higher, and coming from higher-than-average or lower-than-average family income were independently associated with increased odds of matching. Gender, personal income, and visa status did not demonstrate significant associations with residency match. CONCLUSIONS: Residency match is a significant expense for IMGs, especially for those from lower-income countries. International applicants from higher socio-economic backgrounds might have advantages in securing medical residency positions in the United States when controlling for other variables.

Exploring the association between unintended pregnancies and unmet contraceptive needs among Ugandan women of reproductive age: an analysis of the 2016 Uganda demographic and health survey.

BACKGROUND: Unintended pregnancy and unmet contraceptive needs pose significant public health challenges, particularly in developing nations, where they contribute to maternal health risks. While previous research has explored determinants of unintended pregnancies, there remains a gap in understanding the association between unplanned pregnancies and unmet contraceptive needs among Ugandan women of reproductive age. This study aimed to assess unmet contraceptive needs and their correlation with unintended pregnancies and other factors in Uganda, utilizing a nationally representative sample. METHODS: Data was extracted from the 2016 Uganda Demographic Health Survey (UDHS), a cross-sectional survey conducted in the latter half of 2016. The study encompassed 18,506 women aged 15-49 with a history of at least one prior pregnancy. The primary outcome variable was the planning status of the most recent pregnancy, while the principal independent variable was unmet contraceptive need. Additional variables were controlled in the analysis. Data analysis was performed using STATA version 17, involving descriptive analysis, cross-tabulation, chi-square testing, and logistic regression. Statistical significance was set at p < 0.05. RESULTS: A substantial proportion of women reported unintended pregnancies (44.5%), with approximately 21.09% experiencing an unmet need for contraception. In the adjusted model, women with unmet contraceptive needs had 3.97 times higher odds of unintended pregnancy (95% CI = 3.61-4.37) compared to those with met contraceptive needs. Significant factors linked to unintended pregnancies included women's age, place of residence, household wealth status, decision-making authority regarding contraceptive use, educational attainment, husband's occupation, and educational level. CONCLUSION: This study revealed that both the rate of unintended pregnancies and unmet contraceptive needs in Uganda exceeded the global average, warranting urgent policy attention. Addressing unmet contraceptive needs emerges as a potential strategy to curtail unintended pregnancies. Further qualitative research may be necessary to elucidate the sociocultural and behavioral determinants of unwanted pregnancies, facilitating context-specific interventions.

Trends of risk factors associated with childhood stunting and anaemia in Ghana: evidence from the Demographic Health Survey and Multiple Indicator Cluster Survey (2003-2017).

OBJECTIVE: This study investigated the trend of effect estimates of the key risk factors of childhood stunting and anaemia between 2003 and 2017. DESIGN: A secondary analysis of the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data for the Ghanaian population between 2003 and 2017. Associations of selected socio-demographic (child age and gender; maternal age and education), economic (household wealth), environmental, dietary (minimum dietary diversity and iodine use) and health system (place of delivery and vaccination) factors were explored using the Poisson regression model. Trend analysis was explored using a fitted linear regression line on a time series plot. SETTING: Ghana. PARTICIPANTS: Children under 5 years. RESULTS: The results showed a reduction in the prevalence of stunting and anaemia over the 15-year duration. These health outcomes were found to be negatively associated with a wide array of socio-demographic (child age and gender, maternal age and education, residency), economic (household wealth), dietary (iodised salt use) and health service (place of delivery and vaccination) factors; however, the most consistent statistically significant association was observed between child's age and belonging to the poor wealth quintile. CONCLUSION: In order to prevent these indicators of child malnutrition, key consideration must be given to the early developmental stages of life. Child health policies must focus on addressing the key contextual factors of child malnutrition.

Longevity, demographic characteristics, and socio-economic status are linked to triiodothyronine levels in the general population.

The hypothalamic-pituitary-thyroid (HPT) axis is fundamental to human biology, exerting central control over energy expenditure and body temperature. However, the consequences of normal physiologic HPT-axis variation in populations without diagnosed thyroid disease are poorly understood. Using nationally representative data from the 2007 to 2012 National Health and Nutrition Examination Survey, we explore relationships with demographic characteristics, longevity, and socio-economic factors. We find much larger variation across age in free T3 than other HPT-axis hormones. T3 and T4 have opposite relationships to mortality: free T3 is inversely related and free T4 is positively related to the likelihood of death. Free T3 and household income are negatively related, particularly at lower incomes. Finally, free T3 among older adults is associated with labor both in terms of unemployment and hours worked. Physiologic TSH/T4 explain only 1.7% of T3 variation, and neither are appreciably correlated to socio-economic outcomes. Taken together, our data suggest an unappreciated complexity of the HPT-axis signaling cascade broadly such that TSH and T4 may not be accurate surrogates of free T3. Furthermore, we find that subclinical variation in the HPT-axis effector hormone T3 is an important and overlooked factor linking socio-economic forces, human biology, and aging.

Socio-demographic inequalities in stage at diagnosis of lung cancer: A French population-based study.

BACKGROUND: Diagnosing patients at a non-advanced stage has become a mainstay of lung cancer prevention and control strategies. Understanding socio-demographic inequalities in stage at diagnosis may improve the targeting of interventions on patients at higher risk. This study aimed to identify these socio-demographic determinants in a large-scale French population-based cancer registry. METHODS: All incident lung cancers diagnosed between 2008 and 2019 identified from the Poitou-Charentes Cancer Registry (south-west France) were included. Stage at diagnosis was categorised as advanced/non-advanced (TNM III/IV vs I/II) according to the 8th TNM edition, the objective being to ensure a consistent level of prognosis over time. Socio-demographic variables included age, sex, the French European Deprivation Index (EDI) and patient's place of residence. Their impact on stage at diagnosis was quantified by multivariate logistic regression models with subgroup analyses by histological subtype. RESULTS: Out of the 15,487 included patients, 75% were diagnosed at an advanced stage (66% to 95% depending on the histological subtype), 17% at a non-advanced stage and 10% at a non-specified stage. Multivariate analysis showed different patterns according to histological subtypes. In patients with adenocarcinoma, a higher risk of advanced stage was found for younger and older patients (u-shape), those most deprived, and those living in rural areas. The same effect of age was reported for squamous cell carcinomas, while no association was found for small-cell lung carcinomas. CONCLUSIONS: This study highlighted substantial socio-demographic inequalities in stage at diagnosis, specifically for adenocarcinoma patients. Diagnosis strategies could be refined and strengthened in the non-smoker population, in which adenocarcinomas are mainly reported.

Characteristics and burden of acute COVID-19 and long-COVID: Demographic, physical, mental health, and economic perspectives.

BACKGROUND: COVID-19 infection and its associated consequence, known as long-COVID, lead to a significant burden on the global healthcare system and limitations in people's personal and work lives. This study aims to provide further insight into the impact of acute and ongoing COVID-19 symptoms and investigates the role of patients' gender and vaccination status. METHODS: 416 individuals (73.9% female) between the ages of 16 and 80 years (M = 44.18, SD = 12.90) with self-reported symptoms of long-COVID participated in an online survey conducted between March and May 2022. RESULTS: 6.0%, 74.3%, and 19.7% of all respondents reported having had an asymptomatic, mild, or severe acute illness, respectively. Out of all participants, 7.8% required hospitalization. The most prevalent symptoms during the acute infection (Mdn = 23.50 symptoms, IQR = 13-39) included fatigue, exhaustion, cough, brain fog, and memory problems. The median long-COVID disease duration was 12.10 months (IQR = 2.8-17.4). Among 64 inquired long-COVID symptoms (Mdn = 17.00 symptoms, IQR = 9-27), participants reported fatigue, exhaustion, memory problems, brain fog, and dyspnea as the most common ongoing symptoms, which were generally experienced as fluctuating and deteriorating after physical or cognitive activity. Common consequences of long-COVID included financial losses (40.5%), changes in the participants' profession (41.0%), stress resistance (87.5%), sexual life (38.1%), and mood (72.1%), as well as breathing difficulties (41.3%), or an increased drug intake (e.g., medicine, alcohol; 44.6%). In addition, vaccinated individuals exhibited a shorter acute illness duration and an earlier onset of long-COVID symptoms. In general, women reported more long-COVID symptoms than men. CONCLUSION: Long-COVID represents a heterogeneous disease and impacts multiple life aspects of those affected. Tailored rehabilitation programs targeting the plurality of physical and mental symptoms are needed.

Demographic and socio-economic factors affecting bed net ownership, usage, and malaria transmission among adult patients seeking healthcare in two Ghanaian urban cities.

BACKGROUND: The most cost-effective malaria prevention and control strategy is the use of a bed net. However, several factors affect the ownership and usage of bed nets among the adult population. Hence, this study aimed to examine socio-demographic factors affecting bed net ownership, usage and malaria transmission among adult patients seeking healthcare in two Ghanaian urban cities. METHODS: This hospital-based cross-sectional study was conducted, between January and September 2021, at Bremang Seventh-Day Adventist Hospital, Suame Municipal, Ashanti Region and Sunyani Municipal Hospital, Sunyani, Bono Region, Ghana. Structured questionnaires were administered to a total of 550 participants to ascertain their ownership and usage of the bed nets. Afterwards, finger prick blood samples were collected for malaria microscopy. Crude and adjusted prevalence ratios (PR) and their respective 95% CIs were calculated, using Poisson regression with robust standard errors, to show associated variables in bivariate and multivariate analyses respectively. R software (version 4.1.1) was used to perform all statistical analyses. RESULTS: About 53.3% (n = 293) of participants owned at least one-bed net but only 21.5% (n = 118) slept under it the previous night. Those married were 2.0 (95% CI: 1.6 - 2.5) and 2.4 (95% CI: 1.6 - 3.5) times more likely to own and use a bed net respectively than those who never married. Also, pregnant women were 1.3 (95% CI: 1.1 - 1.6) and 1.8 (95% CI: 1.3 - 2.5) times more likely to own and use a bed net respectively than non-pregnant. Even though income levels were not associated with bed net ownership and usage, students were 0.4 (95% CI: 0.2 - 0.6) and 0.2 (95% CI: 0.1 - 0.5) times less likely to own and use bed net respectively compared to formally employed persons. The overall malaria prevalence rate was 7.8%. Malaria-negative patients were 1.6 (95% CI: 1.2 - 2.0) and 2.4 (95% CI: 1.4 - 4.1) times more likely to own and use bed nets respectively than malaria positive. Patients with tertiary education recorded the lowest malaria prevalence (3.5%, n = 4). None of those with a monthly income > $300 recorded a case of malaria. On the contrary, majority 83%, n/N = 25/30) of the malaria-positive patients earned ≤ $150. CONCLUSION: The National Malaria Control Program should conduct comprehensive mapping of all urban population segments before launching mass bed net distribution campaigns, taking into account demographic and socioeconomic factors to enhance bed net utilization and reduce malaria prevalence.