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1.
Public Health ; 230: 6-11, 2024 May.
Article in English | MEDLINE | ID: mdl-38460397

ABSTRACT

OBJECTIVES: The Global Activity Limitation Indicator (GALI) is an instrument that measures long-term overall disability. The objective of this study was to evaluate GALI's predictive value on mortality while examining variations according to sex, age, and educational level. STUDY DESIGN: Longitudinal study. METHODS: This longitudinal study was based on 42,991 individuals aged ≥15 years who participated in the 2011-2012 National Health Survey and the 2014 European Health Survey in Spain. These records were linked to mortality data up to December 2021. GALI assessed self-reported functional limitation in the past 6 months and classified individuals into three categories: severely limited, limited but not severely, and not limited. Incidence rate ratios (IRR) were calculated using Poisson regression models, adjusting for sociodemographic, lifestyle, and health status variables. RESULTS: Compared to individuals with no limitations, those with non-severe limitations had an IRR for mortality of 1.27 (95% CI: 1.16-1.38), and 2.04 (95% CI: 1.81-2.31) in those with severe limitations. Women with severe limitations exhibited a higher IRR (2.32; 95% CI: 1.98-2.71) compared to men (1.73; 95% CI: 1.45-2.08) (P for interaction = 0.005). Individuals <65 years with severe limitations showed a greater association (2.22; 95% CI: 1.58-3.10) than those ≥65 (1.49; 95% CI: 1.32-1.69) (P for interaction <0.001). Among individuals with lower educational attainment, the IRR was 2.08 (95% CI: 1.83-2.37), and 1.87 (95% CI: 1.37-2.56) for the higher education group (P for interaction = 0.017). CONCLUSIONS: GALI is a robust predictor of all-cause mortality in the general population and subgroups. The association is stronger in women, individuals <65 years, and those with lower educational levels.


Subject(s)
Disabled Persons , Health Status Indicators , Male , Humans , Female , Longitudinal Studies , Health Status , Health Surveys
2.
Nutr. hosp ; 41(1): 19-27, Ene-Feb, 2024. tab
Article in Spanish | IBECS | ID: ibc-230881

ABSTRACT

Introducción: el rendimiento académico está influenciado por numerosos factores, algunos de índole personal y otros contextuales, que, además, poseen una estrecha relación con la salud de los estudiantes. Por ello, el objetivo del estudio fue analizar la relación e influencia de los hábitos de vida, diversos indicadores de salud física y psicosocial, y variables sociodemográficas sobre dicho rendimiento. Método: el estudio se llevó a cabo sobre una muestra de 761 estudiantes (14,51 ± 1,63 años) de 25 centros educativos de una región del norte de España. Se valoró el rendimiento académico, así como la calidad de vida relacionada con la salud, la autoestima, la adherencia a la dieta mediterránea, las horas de sueño nocturno, el nivel de actividad física, el entorno para la práctica de dicha actividad física, la participación en actividades deportivas extraescolares, el consumo máximo de oxígeno, el índice de masa corporal y diversos factores sociodemográficos. Resultados: ser chico, tener origen migrante y poseer un nivel socioeconómico bajo/medio, una capacidad cardiorrespiratoria en zona de riesgo, una menor adherencia a la dieta mediterránea e índices más bajos de calidad de vida relacionada con la salud resultaron asociarse a un menor rendimiento académico, llegando a explicar hasta el 14 % de su varianza según el análisis de regresión. Igualmente, los adolescentes con mayor autoestima, menor índice de masa corporal, las chicas, aquellos que residían en un entorno favorable para la práctica física, los que realizaban actividad física extraescolar y los que presentaban mayor número de horas de sueño nocturno, mostraron mayores índices de rendimiento académico. Conclusiones: las intervenciones dirigidas a combatir el fracaso escolar deberían tener en cuenta los factores asociados citados, haciendo especial hincapié en los grupos más vulnerables como los chicos, aquellos con menor nivel socioeconómico y los que siguen unos hábitos de vida no saludables.(AU)


Introduction: academic performance is influenced by numerous factors, some personal and others contextual in nature, which also have a closerelationship with the health of students. Therefore, the aim of this study was to analyze the relationship and influence of lifestyle habits, variousphysical and psychosocial health indicators, and sociodemographic variables on academic performance.Method: the study was carried out on a sample of 761 students (14.51 ± 1.63 years old) from 25 educational centers in a region of northernSpain. Academic performance was assessed, as well as health-related quality of life, self-esteem, adherence to the Mediterranean diet, hoursof nocturnal sleep, level of physical activity, environment for the practice of physical activity, participation in extra-curricular sports activities,maximum oxygen consumption, body mass index, and various sociodemographic factors.Results: being male, having immigrant origins, as well as having a low/medium socioeconomic level, a cardiorespiratory capacity in the risk zone,lower adherence to the Mediterranean diet, and lower health-related quality of life indices were associated with lower academic performance,explaining up to 14 % of its variance according to the regression analysis. Likewise, adolescents with higher self-esteem, lower body mass index,females, those who lived in a favorable environment for physical activity practice, engaged in extra-curricular physical activity, and had a highernumber of hours of nocturnal sleep showed higher levels of academic performance.Conclusions: interventions aimed at combating academic failure should take into account the aforementioned associated factors, with specialemphasis on the most vulnerable groups such as males, those with lower socioeconomic status, and those who follow unhealthy lifestyle habits.(AU)


Subject(s)
Humans , Male , Female , Adolescent , Diet, Mediterranean , Treatment Adherence and Compliance , Quality of Life , Academic Performance , Feeding Behavior , Health Status Indicators , Self Concept , Surveys and Questionnaires , Cross-Sectional Studies , Spain , Nutritional Sciences , Adolescent Health , Exercise , Body Mass Index
3.
Front Endocrinol (Lausanne) ; 15: 1340644, 2024.
Article in English | MEDLINE | ID: mdl-38405152

ABSTRACT

Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly observed in non-obese individuals. The ZJU (Zhejiang University) index has been established as a new and efficient tool for detecting NAFLD, but the relationship between the ZJU index and NAFLD within non-obese individuals still remains unclear. Methods: A post-hoc evaluation was undertaken using data from a health assessment database by the Wenzhou Medical Center. The participants were divided into four groups based on the quartile of the ZJU Index. Cox proportional hazards regression, Kaplan-Meier analysis and tests for linear trends were used to evaluate the relationship between the ZJU index and NAFLD incidence. Subgroup analysis was conducted to test the consistency of the correlation between ZJU and NAFLD in subsgroups. Receiver operative characteristic (ROC) curve analysis was performed to evaluate the predictive performance of the ZJU index, compared with the Atherogenic index of plasma (AIP) and Remnant lipoprotein cholesterol (RLP-C) index. Results: A total of 12,127 were included in this study, and 2,147 participants (17.7%) developed NAFLD in 5 years follow-up. Participants in higher ZJU quartiles tended to be female and have higher liver enzymes (including ALP, GGT, ALT, AST), GLU, TC, TG, LDL and higher NAFLD risk. Hazard Ratios (HR) and 95% confidence intervals (CI) for new-onset NAFLD in Q2, Q3, and Q4 were 3.67(2.43 to 5.55), 9.82(6.67 to 14.45), and 21.67(14.82 to 31.69) respectively in the fully adjusted model 3. With increased ZJU index, the cumulative new-onset NAFLD gradually increased. Significant linear associations were observed between the ZJU index and new-onset NAFLD (p for trend all<0.001). In the subgroup analysis, we noted a significant interaction in sex, with HRs of 3.27 (2.81, 3.80) in female and 2.41 (2.21, 2.63) in male (P for interaction<0.01). The ZJU index outperformed other indices with an area under the curve (AUC) of 0.823, followed by AIP (AUC=0.747) and RLP-C (AUC=0.668). Conclusion: The ZJU index emerges as a promising tool for predicting NAFLD risk in non-obese individuals, outperforming other existing parameters including AIP and RLP-C. This could potentially aid in early detection and intervention in this specific demographic.


Subject(s)
Non-alcoholic Fatty Liver Disease , Female , Humans , Male , Asian People , China/epidemiology , Incidence , Non-alcoholic Fatty Liver Disease/diagnosis , Non-alcoholic Fatty Liver Disease/epidemiology , Prospective Studies , Health Status Indicators
5.
Clin Genitourin Cancer ; 22(2): 336-346.e9, 2024 04.
Article in English | MEDLINE | ID: mdl-38199879

ABSTRACT

BACKGROUND: In the era of standardized outcome reporting, it remains unclear if widely used comorbidity and health status indices can enhance predictive accuracy for morbidity and long-term survival outcomes after radical cystectomy (RC). PATIENTS AND METHODS: In this monocentric study, we included 468 patients undergoing open RC with pelvic lymph node dissection for bladder cancer between January 2009 and December 2017. Postoperative complications were meticulously assessed according to the EAU guideline criteria for standardized outcome reporting. Multivariable regression models were fitted to evaluate the ability of ASA physical status (ASA PS), Charlson comorbidity index (± age-adjustment) and the combination of both to improve prediction of (A) 30-day morbidity key estimates (major complications, readmission, and cumulative morbidity as measured by the Comprehensive Complication index [CCI]) and (B) secondary mortality endpoints (overall [OM], cancer-specific [CSM], and other-cause mortality [OCM]). RESULTS: Overall, 465 (99%) and 52 (11%) patients experienced 30-day complications and major complications (Clavien-Dindo grade ≥IIIb), respectively. Thirty-seven (7.9%) were readmitted within 30 days after discharge. Comorbidity and health status indices did not improve the predictive accuracy for 30-day major complications and 30-day readmission of a reference model but were associated with 30-day CCI (all P < .05). When ASA PS and age-adjusted Charlson index were combined, ASA PS was no longer associated with 30-day CCI (P = .1). At a median follow-up of 56 months (IQR 37-86), OM, CSM, and 90-day mortality were 37%, 24%, and 2.9%, respectively. Both Charlson and age-adjusted Charlson index accurately predicted OCM (all P < .001) and OM (all P ≤ .002) but not CSM (all P ≥ .4) and 90-day mortality (all P > .05). ASA PS was not associated with oncologic outcomes (all P ≥ .05). CONCLUSION: While comorbidity and health status indices have a role in predicting OCM and OM after RC, their importance in predicting postoperative morbidity is limited. Especially ASA PS performed poorly. This highlights the need for procedure-specific comorbidity assessment rather than generic indices.


Subject(s)
Cystectomy , Urinary Bladder Neoplasms , Humans , Cystectomy/adverse effects , Retrospective Studies , Urinary Bladder Neoplasms/pathology , Comorbidity , Morbidity , Health Status Indicators , Postoperative Complications/etiology
6.
Eur J Health Econ ; 25(1): 117-145, 2024 Feb.
Article in English | MEDLINE | ID: mdl-36814039

ABSTRACT

BACKGROUND: We investigate whether and how general population health state values were influenced by the initial stages of the COVID-19 pandemic. Changes could have important implications, as general population values are used in health resource allocation. DATA: In Spring 2020, participants in a UK general population survey rated 2 EQ-5D-5L states, 11111 and 55555, as well as dead, using a visual analogue scale (VAS) from 100 = best imaginable health to 0 = worst imaginable health. Participants answered questions about their pandemic experiences, including COVID-19's effect on their health and quality of life, and their subjective risk/worry about infection. ANALYSIS: VAS ratings for 55555 were transformed to the full health = 1, dead = 0 scale. Tobit models were used to analyse VAS responses, as well as multinomial propensity score matching (MNPS) to create samples balanced according to participant characteristics. RESULTS: Of 3021 respondents, 2599 were used for analysis. There were statistically significant, but complex associations between experiences of COVID-19 and VAS ratings. For example, in the MNPS analysis, greater subjective risk of infection implied higher VAS ratings for dead, yet worry about infection implied lower ratings. In the Tobit analysis, people whose health was affected by COVID-19 rated 55555 higher, whether the effect on health was positive or negative. CONCLUSION: The results complement previous findings that the onset of the COVID-19 pandemic may have impacted EQ-5D-5L health state valuation, and different aspects of the pandemic had different effects.


Subject(s)
COVID-19 , Quality of Life , Humans , Health Status , Pandemics , COVID-19/epidemiology , Health Status Indicators , Surveys and Questionnaires
7.
Indicadores básicos;27
Monography in Spanish | PAHO-IRIS | ID: phr2-59380

ABSTRACT

Esta es la vigésimo séptima publicación de la serie de indicadores básicos desde que en 1996 el Ministerio de Salud de la Nación y la Organización Panamericana de la Salud presentaron esta iniciativa. Indicadores Básicos 2023 recopila los últimos datos disponibles en el país provenientes de diversas fuentes oficiales. Continúan las ya clásicas secciones de indicadores demográficos, socioeconómicos, de recursos, acceso y cobertura, de morbilidad, de mortalidad y salud materno-infantil, indicadores generales del país y enfoque de género cuando está disponible. En esta ocasión, se han actualizado los indicadores socioeconómicos con información de la Encuesta Permanente de Hogares y se desagregan los indicadores de ocupación por período. También se incluye un apartado especial sobre las muertes por la Enfermedad por COVID-19 y las principales causas de muerte en el año 2021.


Subject(s)
Health Status Indicators , Demographic Indicators , Indicators of Morbidity and Mortality , Social Indicators , Maternal and Child Health , Health Services Coverage , COVID-19
9.
Clin. transl. oncol. (Print) ; 25(12): 3431-3436, dec. 2023.
Article in English | IBECS | ID: ibc-227288

ABSTRACT

Backgroung Acute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers. Methods In this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML. Results and Discussion One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact. Conclusions In conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification (AU)


Subject(s)
Humans , Leukemia, Monocytic, Acute/drug therapy , Leukemia, Monocytic, Acute/genetics , Genomics , Mutation , Prognosis , Health Status Indicators
10.
Prev Chronic Dis ; 20: E101, 2023 Nov 09.
Article in English | MEDLINE | ID: mdl-37943727

ABSTRACT

Introduction: Maternal illness and death are largely preventable; however, the field of preconception health needs further study. Geographic region and rurality play a large role in maternal health, and an understanding of the effect of these 2 factors at the individual level could prevent future adverse maternal health outcomes. Methods: We developed an abbreviated index of preconception health risk (diabetes, hypertension, body weight, mental health, unintended pregnancy, HIV, alcohol and nicotine use, nutrition, physical activity, receipt of the influenza vaccine) by using data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS). A score of 1 was assigned for each behavior factor classified as unhealthy and a score of 0 for each factor classified as healthy, for a total potential score of 11. Respondent women from the 37 states that included the BRFSS family planning supplemental module who were aged 18 to 44 years who could become pregnant (N = 25,999) were included. We used univariate and multivariate regression models to assess the relationship between sociodemographic factors (age, race or ethnicity, relationship status, insurance status, education, income, and rurality and region) and preconception health, with a primary focus on rurality and region. Results: The average preconception health risk index score among participants was 3.5, with higher average scores in rural areas than in urban areas. All factors were independently associated with preconception health. Compared with women living in the urban Northeast, women living in all rural and region groups, except the rural West, had increased preconception health risk. Conclusion: Preconception health scores from our study showed that, on average, a person had more than 3 risk factors or behaviors. Given the current state of reproductive health policy in the United States, increased efforts are needed to address preconception health.


Subject(s)
Health Status , Preconception Care , Pregnancy , Humans , United States/epidemiology , Female , Behavioral Risk Factor Surveillance System , Health Status Indicators , Geography
11.
Washington, D.C.; OPS; 2023-11-27.
Non-conventional in Spanish | PAHO-IRIS | ID: phr-58610

ABSTRACT

El presente documento constituye una breve síntesis de la actualización de las directrices de la Organización Mundial de la Salud (OMS) del 2022 para la vigilancia epidemiológica y la notificación de la tuberculosis (TB). En sus páginas se resumen las consideraciones operativas más destacadas para el seguimiento de las nuevas intervenciones de prevención, diagnóstico y tratamiento de esta enfermedad en el contexto de la Región de las Américas. Asimismo, se presentan algunos de los indicadores más sobresalientes y aplicables a la Región, así como las variables necesarias para generarlos y que deberían formar parte de los sistemas de información locales y nacionales. El alcance de la nueva orientación sobre las recomendaciones de la OMS en materia de vigilancia se centra en la personas con TB presuntiva, las que tienen un diagnóstico de enfermedad por TB o de infección por TB, y las que tienen riesgo de enfermedad o infección por TB. Comprende también, los datos básicos y los indicadores pertinentes que se deben recopilar, analizar y notificar para la vigilancia de la TB y que son aplicables a todos los países, e indica dónde y cómo recopilarlos. El público destinatario incluye a todas las personas involucradas en la recopilación, la gestión, la notificación, el análisis y el uso de los datos de vigilancia de la TB y el objetivo final de estas recomendaciones ahora publicadas por la Organización Panamericana de la Salud (OPS) es abrir el camino para que los países adapten sus procesos de seguimiento y evaluación para la eliminación de la TB como problema de salud pública.


Subject(s)
Tuberculosis , Health Status Indicators , Health Systems , Americas
12.
Front Public Health ; 11: 1225053, 2023.
Article in English | MEDLINE | ID: mdl-37841744

ABSTRACT

Introduction: Non-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a series of guidelines for the management of NCDs have been published in China, these guidelines mainly focus on clinical practice targeting clinicians rather than the general population, and the evidence for NCD prevention based on modifiable lifestyle factors has been disorganized. Therefore, comprehensive and evidence-based guidance for the risk management of major NCDs for the general Chinese population is urgently needed. To achieve this overarching aim, we plan to develop a series of expert consensuses covering 15 major NCDs on health risk management for the general Chinese population. The objectives of these consensuses are (1) to identify and recommend suitable risk assessment methods for the Chinese population; and (2) to make recommendations for the prevention of major NCDs by integrating the current best evidence and experts' opinions. Methods and analysis: For each expert consensus, we will establish a consensus working group comprising 40-50 members. Consensus questions will be formulated by integrating literature reviews, expert opinions, and an online survey. Systematic reviews will be considered as the primary evidence sources. We will conduct new systematic reviews if there are no eligible systematic reviews, the methodological quality is low, or the existing systematic reviews have been published for more than 3 years. We will evaluate the quality of evidence and make recommendations according to the GRADE approach. The consensuses will be reported according to the Reporting Items for Practice Guidelines in Healthcare (RIGHT).


Subject(s)
East Asian People , Health Risk Behaviors , Humans , Alcohol Drinking , China/epidemiology , Clinical Protocols , Consensus , Diet , Health Status Indicators , Risk Management , Smoking , Public Health
13.
Rev. esp. salud pública ; 97: e202310091, Oct. 2023. graf, tab
Article in Spanish | IBECS | ID: ibc-228324

ABSTRACT

Fundamentos: La disponibilidad en la literatura de datos relacionados con variables perinatales en la población española son muy escasos. El objetivo de este estudio fue conocer la evolución de los indicadores de salud perinatal atendiendo a los grupos de riesgo de prematuridad y de peso al nacimiento, la proporción de parto múltiple, de cesárea y de mortinatos. Métodos: Se realizó un estudio transversal poblacional de los partos en once hospitales de Castilla y León (enero de 2015 a junio de 2020). Hubo 70.024 recién nacidos (RN) procedentes de 68.769 partos. Se utilizó el análisis de regresiónJointpoint para identificar cambios en la tendencia a lo largo de los años, y la regresión logística binomial para ajustar la potencial interacción del tipo de hospital, el sexo, el tipo de parto y el parto múltiple en las frecuencias de prematuridad y de fallecimiento. Resultados: Hubo un descenso de partos del 19,9% y de los múltiples del 42%, sin cambios en los RN prematuros (7,7%) ni en los mortinatos (0,44%). El porcentaje de cesáreas fue del 21,5% con una ligera tendencia temporal descendente. El fallecimiento (mortinato) se asoció al parto múltiple pretérmino; especialmente a la combinación varón-varón (p<0,05). Los RN pretérminos tardíos y términos precoces mostraron mayor riesgo de fallecer frente a los RN a término: OR 7,7 (IC95% 5,6-10,7) y 2,4 (IC95% 1,6-3,6), respectivamente; así como el grupo de bajo peso (OR 17,6; IC95% 13,9-22,2) y el pequeño para la edad gestacional (OR 3,4; IC95% 1,9-5,8), frente a los de peso adecuado. Conclusiones: Previo al desarrollo de la pandemia por COVID-19 existe un descenso de la natalidad, incluidos los partos múltiples, sin cambios en los mortinatos ni en la prematuridad. Los RN pretérminos tardío y términos precoces tienen mayor riesgo de fallecer intraútero.(AU)


Backgorund: The availability in the literature of data related to perinatal variables in the Spanish population is very scarce. The aim of this study was to know the evolution of perinatal health indicators according to the risk groups of prematurity and birth weight, the proportion of multiple births, caesarean section and stillbirths. Methods: We conducted a population-based cross-sectional study of births in eleven hospitals in Castilla y León (January 2015 to June 2020). There were 70,024 newborns from 68,769 deliveries. Jointpoint regression analysis was used to identify changes in trend over the years, and binomial logistic regression was used to adjust for the potential interaction of hospital type, sex, type of delivery and multiple births on the frequencies of prematurity and death. Results: There was a 19.9% decrease in deliveries and a 42% decrease in multiple births, with no change in preterm (7.7%) and stillbirths (0.44%). The percentage of caesarean sections was 21.5% with a slight downward trend over time. Death (stillbirth) was associated with preterm multiple birth; especially with the male-male combination (p<0.05). Late preterm and early term newborns showed higher risk of death compared to term newborns: OR 7.7 (95%CI 5.6-10.7) and 2.4 (95%CI 1.6-3.6), respectively; as well as the low birth weight group (OR 17.6; 95%CI 13.9-22.2) and small for gestational age (OR 3.4; 95%CI 1.9-5.8), compared to those of adequate weight. Conclusions: Prior to the development of the COVID-19 pandemic there is a decline in births, including multiple births, with no change in stillbirths or prematurity. Late preterm and early term newborns are at increased risk of intrauterine death.(AU)


Subject(s)
Humans , Female , Pregnancy , Health Status Indicators , Parturition , Epidemiology , Infant, Premature , Stillbirth/epidemiology , Fetal Mortality , Public Health/statistics & numerical data , Cross-Sectional Studies , Spain
14.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/269/E).
in English | WHO IRIS | ID: who-375700
15.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/268/E).
in English | WHO IRIS | ID: who-375699
16.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/267/E).
in English | WHO IRIS | ID: who-375698
17.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/266/E).
in English | WHO IRIS | ID: who-375697
18.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/265/E).
in English | WHO IRIS | ID: who-375696
19.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/264/E).
in English | WHO IRIS | ID: who-375695
20.
Cairo; World Health Organization. Regional Office for the Eastern Mediterranean; 2023-10. (WHO-EM/HST/263/E).
in English | WHO IRIS | ID: who-375694
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