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  1. 41
    “…Thessaloniki exhibited a high risk associated with lifetime inhalation of As, Cr(VI), and PAHs, with values in the range of (0.97–1.57) × 10(−6), (1.80–2.91) × 10(−6), and (0.77–1.25) × 10(−6), respectively. …”
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    Assessing Lifetime Cancer Risk Associated with Population Exposure to PM-Bound PAHs and Carcinogenic Metals in Three Mid-Latitude Metropolitan Cities
  2. 42
    “…Although most of the globe's largest urban hubs fall outside this organism's regions of endemicity, clinicians practicing in a metropolis like New York City or Los Angeles must nevertheless remain vigilant for histoplasmosis because of the large immigrant population that is served by its hospitals. …”
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    Update on the spectrum of histoplasmosis among hispanic patients presenting to a New York City municipal hospital: A contemporary case series
  3. 43
    “…Young adult males living in the most violent zip code of Chicago (2585 individuals aged 20-29 y) and Philadelphia (2448 individuals aged 18-29 y) faced a higher risk of firearm-related homicide than US soldiers who were deployed to Afghanistan, with risk ratios of 3.23 (95% CI, 2.47-4.68) and 1.91 (95% CI, 1.32-3.46), respectively. …”
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    Comparing Risks of Firearm-Related Death and Injury Among Young Adult Males in Selected US Cities With Wartime Service in Iraq and Afghanistan
  4. 44
    por Flores-Lujano, Janet, Duarte-Rodríguez, David Aldebarán, Jiménez-Hernández, Elva, Martín-Trejo, Jorge Alfonso, Allende-López, Aldo, Peñaloza-González, José Gabriel, Pérez-Saldivar, María Luisa, Medina-Sanson, Aurora, Torres-Nava, José Refugio, Solís-Labastida, Karina Anastacia, Flores-Villegas, Luz Victoria, Espinosa-Elizondo, Rosa Martha, Amador-Sánchez, Raquel, Velázquez-Aviña, Martha Margarita, Merino-Pasaye, Laura Elizabeth, Núñez-Villegas, Nora Nancy, González-Ávila, Ana Itamar, del Campo-Martínez, María de los Ángeles, Alvarado-Ibarra, Martha, Bekker-Méndez, Vilma Carolina, Cárdenas-Cardos, Rocío, Jiménez-Morales, Silvia, Rivera-Luna, Roberto, Rosas-Vargas, Haydee, López-Santiago, Norma C., Rangel-López, Angélica, Hidalgo-Miranda, Alfredo, Vega, Elizabeth, Mata-Rocha, Minerva, Sepúlveda-Robles, Omar Alejandro, Arellano-Galindo, José, Núñez-Enríquez, Juan Carlos, Mejía-Aranguré, Juan Manuel
    Publicado 2022
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    Persistently high incidence rates of childhood acute leukemias from 2010 to 2017 in Mexico City: A population study from the MIGICCL
  5. 45
    “…Most of the study participants reported history of CSA (70.3%). Adjusting for sociodemographic and confounding variables, CSA was associated with higher odds of alcohol use problems (odds ratio (OR) = 1.52, 95% CI 1.09, 2.12) and drug use problems (OR = 1.58, 95% CI 1.19, 2.10) than non-CSA group. …”
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    Childhood sexual abuse, alcohol and drug use problems among Black sexual minority men in six US Cities: Findings from the HPTN 061 study
  6. 46
    “…We analyzed 7.2 million images from 12 cities in five high-income countries, home to more than 85 million people: Auckland (New Zealand), Sydney (Australia), Toronto and Vancouver (Canada), Atlanta, Boston, Chicago, Los Angeles, New York, San Francisco, and Washington D.C. …”
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    Do poverty and wealth look the same the world over? A comparative study of 12 cities from five high-income countries using street images
  7. 47
    “…Statistically significant differences in ARGs were identified in soil, where differences in bla(SHV) gene copies were the most striking; the highest copy numbers were observed in Bakersfield (6.0 × 10(–2) copies/16S-rRNA gene copies and 2.6 × 10(6) copies/g of soil), followed by San Diego (1.8 × 10(–3) copies/16S-rRNA gene copies and 3.0 × 10(4) copies/g of soil), Fresno (1.8 × 10(–5) copies/16S-rRNA gene copies and 8.5 × 10(2) copies/g of soil), and Los Angeles (5.8 × 10(–6) copies/16S-rRNA gene copies and 5.6 × 10(2) copies/g of soil). …”
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    Disparate Antibiotic Resistance Gene Quantities Revealed across 4 Major Cities in California: A Survey in Drinking Water, Air, and Soil at 24 Public Parks
  8. 48
    “…Greater age (≥25 vs. <25, OR 2.95, 95% CI 1.37 –6.37), perception of having enough money (OR 3.6, 95% CI 1.7 to 7.7) and knowledge of male partner taking PrEP before sex (OR 2.22, 95% CI 1.03 to 4.79) were statistically significantly associated with increased likelihood of PrEP adherence at week 26. …”
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    Pre‐exposure prophylaxis initiation and adherence among Black men who have sex with men (MSM) in three US cities: results from the HPTN 073 study
  9. 49
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    Day-to-day impact of COVID-19 and other factors associated with risk of nonfatal overdose among people who use unregulated drugs in five cities in the United States and Canada()
  10. 50
    por Alava, Juan José, Guevara, Angel
    Publicado 2021
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    A critical narrative of Ecuador’s preparedness and response to the COVID-19 pandemic
  11. 51
    por Norouzi, Neda, Angel, Jacqueline L.
    Publicado 2023
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    Intergenerational Day Centers: A New Wave in Adult and Child Day Care
  12. 52
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    Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
  13. 53
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    Self-Care by Muslim Women during Ramadan Fasting to Protect Nutritional and Cardiovascular Health
  14. 54
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    Left-behind experience and language proficiency predict narrative abilities in the home language of Kam-speaking minority children in China
  15. 55
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    A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid
  16. 56
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    Source Areas as a Key Factor Contributing to the Recovery Time of Controlled Feral Pigeon (Columba livia var. domestica) Colonies in Low-Density Urban Locations
  17. 57
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    HLA Allele and Haplotype Frequencies in Three Urban Mexican Populations: Genetic Diversity for the Approach of Genomic Medicine
  18. 58
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    Association between Unmet Needs and Clinical Status in Patients with First Episode of Schizophrenia in Chile
  19. 59
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    Ground Thermal Diffusivity Calculation by Direct Soil Temperature Measurement. Application to very Low Enthalpy Geothermal Energy Systems
  20. 60
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    Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior
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