Publications by authors named "Seema G Nayak"

Article Synopsis
  • The study investigates the accessibility of cooling centers in New York State, focusing on their proximity to heat-vulnerable populations and the various modes of transportation that can be used to reach them.
  • Results show that only about a third of the NYS population can walk to a cooling center, with an average distance of 2.4 miles for heat-vulnerable areas, although public transportation often makes these centers more accessible in urban settings.
  • In contrast, rural areas face greater challenges, with average driving distances to cooling centers around 18 miles, highlighting the need for improved accessibility for vulnerable populations during extreme heat events.
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Background: Regional National Weather Service (NWS) heat advisory criteria in New York State (NYS) were based on frequency of heat events estimated by sparse monitoring data. These may not accurately reflect temperatures at which specific health risks occur in large geographic regions. The objectives of the study were to use spatially resolved temperature data to characterize health risks related to summertime heat exposure and estimate the temperatures at which excessive risk of heat-related adverse health occurs in NYS.

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Article Synopsis
  • - Local agencies in New York State have established cooling centers to help people, particularly those without air-conditioning, cope with summer heat, with 377 centers identified mainly in metropolitan areas.
  • - A survey revealed that 47% of counties listed cooling center locations online, but only 29% shared this information through the survey; radio and internet were the primary methods for spreading information.
  • - About 38% of counties either don’t see cooling centers as important or fail to promote them, with more than a third lacking any cooling centers or plans, as they don’t view extreme heat as a significant threat.
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Epidemiological analyses of air quality often estimate human exposure from ambient monitoring data, potentially leading to exposure misclassification and subsequent bias in estimated health risks. To investigate this, we conducted a case-crossover study of summertime ambient ozone and fine particulate matter (PM(2.5)) levels and daily respiratory hospitalizations in New York City during 2001-2005.

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The incidence of gestational diabetes mellitus (GDM) has increased significantly in the last few decades in the US. Understanding its risk factors is imperative for the prevention of GDM and its sequelae, but the roles of behavioural risk factors such as stressful events and smoking on GDM are generally not well understood. Using data obtained from the New York State (NYS) Pregnancy Risk Assessment Monitoring System survey for 2004-06 and the NYS birth certificates, we examined relationships between GDM, stressful events and smoking among 2690 women who had live singleton births and did not have pre-pregnancy diabetes.

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This study examined agreement (concordance or convergent validity) between self-report and birth certificate for gestational diabetes. Study population was 2,854 women who had live births 2-6 months earlier and responded to a questionnaire from the New York State Pregnancy Risk Assessment Monitoring System (PRAMS) survey, 2004-2006. Agreement between self-report and birth certificate was assessed for the study population overall, and for subgroups defined by race, age, education, marital status, number of previous live births, time of first prenatal care, and birth weight of the newborn.

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