Survey Date Research Articles

The Timing of Waterfowl Arrival and Dispersion During Spring Migration in Labrador

Weekly aerial surveys were conducted in central Labrador during the spring staging period (27 April to 29 May, 2000), and the relative abundance of waterfowl was documented. Anas rupribes (American Black Duck) and Bucephala clangula (Common Goldeneye) were among the first species to arrive, while peak waterfowl diversity occurred on the latest survey date. Overall, Branta canadensis (Canada Geese) were the most abundant species, followed by American Black Duck and Anas crecca (Green-winged Teal). As expected, the relative abundance of these species varied by date and region. By the time of the last survey on 29 May, average flock size had decreased for most species, most likely corresponding with the start of breeding and nest initiation. Our findings could be useful as baseline information for future studies of climate change, may have implications for the management of the aboriginal spring hunt, and also might be used to mitigate the effects of military flying activity.

Prehistoric and Historic Landscape Change in Aragón, Spain

The Moncayo Archaeological Survey (MAS) was initiated in 2000 to investigate population, economic and environmental change in a study area northwest of Zaragoza in the northeast of Spain. This is an interdisciplinary project which combines landscape archaeology with earth-science methodologies and approaches. Research undertaken during the first four field seasons has concentrated on reconstructing and explaining landscape change, while at the same time cataloguing existing archaeological records and prospecting for previously unknown sites. Two episodes of significant landscape change dating to the Neolithic/Bronze Age and post-medieval period have been identified from the geomorphological record. These are interpreted here as the result of human land-use change: in the prehistoric period from clearance of woodland during the Neolithic and the subsequent expansion of agriculture in the Bronze Age, and in the 19th century from the removal of upland woodland following changes in land ownership and management. Notably, evidence for erosion and deposition was not found for either the Roman or medieval periods when archaeological and historical evidence indicate that local population was at its highest and agriculture at its most intense, nor from the height of the Little Ice Age when climate is thought to have been at its most extreme. Therefore, direct relationships between the intensity of agriculture or climate change and landscape modification are rejected here in favour of a more complex interaction of multiple human and climatic variables. These can only be understood by a combination of high-resolution archaeological survey, geoarchaeological study and chronometric dating.

Modelling the effect of malaria endemicity on spatial variations in childhood fever, diarrhoea and pneumonia in Malawi

BackgroundCo-morbidity with conditions such as fever, diarrhoea and pneumonia is a common phenomenon in tropical Africa. However, little is known about geographical overlaps in these illnesses. Spatial modelling may improve our understanding of the epidemiology of the diseases for efficient and cost-effective control.MethodsThis study assessed subdistrict-specific spatial associations of the three conditions (fever, diarrhoea and pneumonia) in relation to malaria endemicity. We used data from the 2000 Malawi demographic and health survey which captured the history of childhood morbidities 2 weeks prior to the survey date. The disease status of each child in each area was the outcome of interest and was modelled using a trivariate logistic regression model, and incorporated random effects to measure spatial correlation.ResultsThe risk of fever was positively associated with high and medium malaria endemicity levels relative to low endemicity level, while for diarrhoea and pneumonia we observed marginal positive association at high endemicity level relative to low endemicity level, controlling for confounding covariates and heterogeneity. A positive spatial correlation was found between fever and diarrhoea (r = 0.29); while weak associations were estimated between fever and pneumonia (r = 0.01); and between diarrhoea and pneumonia (r = 0.05). The proportion of structured spatial variation compared to unstructured variation was 0.67 (95% credible interval (CI): 0.31–0.91) for fever, 0.67 (95 % CI: 0.27–0.93) for diarrhoea, and 0.87 (95% CI: 0.62–0.96) for pneumonia.ConclusionThe analysis suggests some similarities in subdistrict-specific spatial variation of childhood morbidities of fever, diarrhoea and pneumonia, and might be a result of shared and overlapping risk factors, one of which is malaria endemicity.

Joint Commission Update

BEGINNING JANUARY 1, 2006, the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) implemented “unannounced surveys” for regular accreditation surveys for all programs. 1 Joint Commission on Accreditation of Healthcare Organizations Overview of Unannounced Surveys. Available at: http://www.jcaho.org/accreditationprograms. Accessed March 8, 2006. Google Scholar , 2 Shared Visions-New Pathways. Q&A: Unannounced Survey Process. Available at: http://www.jcaho.org/accreditationprograms/SVNP/qa_uannounced.htm. Accessed March 8, 2006. Google Scholar The term “unannounced” means that organizations receive no advanced notice of their survey dates, thus allowing the organization to focus on preparation for their next patient, not their next survey. 1 Joint Commission on Accreditation of Healthcare Organizations Overview of Unannounced Surveys. Available at: http://www.jcaho.org/accreditationprograms. Accessed March 8, 2006. Google Scholar In addition, accreditation now validates the organization’s continuous systems improvement efforts as opposed to a simple standards compliance exercise at a single point in time. Surveys will provide a more complete and accurate picture of the organization’s actual day-to-day performance. The credibility of the accreditation process will be enhanced by ensuring that surveyors observe performance under normal circumstances. 2 Shared Visions-New Pathways. Q&A: Unannounced Survey Process. Available at: http://www.jcaho.org/accreditationprograms/SVNP/qa_uannounced.htm. Accessed March 8, 2006. Google Scholar Nancy M. Saufl, MS, RN, CPAN, CAPA, is a Past President of the American Society of Perianesthesia Nurses, and Coordinator of the Preadmission Testing and Teaching Department at Florida Hospital Memorial System, Ormond Beach, FL

Marital fertility and religion in Spain, 1985 and 1999

Since the transition to democracy in Spain in 1975, both total fertility and rates of church attendance of Catholics have dropped dramatically. In this study the 1985 and 1999 Spanish Fertility Surveys were used to investigate whether the significance of religion for fertility behaviour—current family size and the spacing of births—changed between the survey dates. In the 1985 survey, family size was similar for those Catholics who actively participated in religious activities and those who, though nominally Catholic, were not active participants. By 1999, the family size of the latter was lower and comparable to the family size of those without religious affiliation. These findings accord with the declines in both church attendance and fertility in Spain. The small groups of Protestants and Muslims had the highest fertility. Women in inter-faith unions had relatively low fertility.

Using fuzzy number for measuring quality of service in the hotel industry

This paper presents a fuzzy multi-attribute decision-making approach for evaluating dynamically the service quality of three hotels of an important corporation in Gran Canaria island via surveys. Service quality is a composite of various attributes, among them many attributes are intangible and difficult to measure. Fuzzy numbers (FN) are based on triangular fuzzy numbers and fuzzy set theory as a new method to overcome some linguistic problems. In other words, fuzzy numbers try to resolve the ambiguity of concepts that are associated with human beings’ subjective judgments vaguely measured with linguistic terms. Based on the concept of the degree of optimality, we develop through TOPSIS an overall service performance index for each pair hotel–date of survey. This index will help hotel managers to understand their relative ranking position, and provide an adequate alternative to performance evaluation of hotel services which usually involve subjective judgments of qualitative attributes.

Incidence of Pediatric and Neonatal Intensive Care Unit–Acquired Infections

To compare the cumulative incidence of infections acquired in the pediatric intensive care unit (PICU) and neonatal intensive care unit (NICU). Estimation of the cumulative incidence of infections with data obtained from the Pediatric Prevention Network (PPN) point-prevalence survey and observed rates from the National Nosocomial Infections Surveillance (NNIS) system. Ten hospitals participated in both the PPN survey and NNIS system. All patients present on the PPN survey dates (August 4, 1999, or February 1, 2000) in the NICUs or PICUs of the PPN hospitals were included in the survey. Point prevalences for PICU-acquired and for NICU-acquired infections at these hospitals were calculated from the survey data. The cumulative incidence rates were estimated from the point prevalence rates using a standard formula and a standard method for calculating the time to recovery (ie, on the basis of the assumption that discontinuance of antimicrobial therapy indicates recovery from infection); alternate methods to judge the time to recovery from infection were also explored. The average cumulative incidence of intensive care unit-acquired infection for NICUs and PICUs combined (all units), as measured by NNIS, was 14.1 cases per 100 patients; in comparison, the prevalence was 14.06 cases for 100 patients (median difference, -0.95 cases per 100 patients; 95% confidence interval, -4.6 to 5.0 cases per 100 patients), and the estimated cumulative incidence using the standard method of calculating the time to recovery was 13.8 cases per 100 patients (median difference, -1.5 cases per 100 patients; 95% confidence interval, -9.1 to 2.9 cases per 100 patients). Estimates of cumulative incidence using alternate methods for calculation of time to recovery did not perform as well (range, 4.9-100.9 cases per 100 patients). The average incidence density for all units, as measured by the NNIS system, was 6.8 cases per 1,000 patient-days, and the estimate of incidence density using the standard method of calculating the time to recovery was 3.6 cases per 1,000 patient-days (median difference, 4.3 cases per 1,000 patient-days; 95% confidence interval, 0.9 to 9.2 cases per 1,000 patient-days). Estimated incidence densities using alternate methods for determining recovery time correlated closely with observed incidence densities. In this patient population, the simple point prevalence provided the best estimate of cumulative incidence, followed by use of a standard formula and a standard method of calculating the time to recovery. Estimation of incidence density using alternate methods performed well. The standard formula and method may provide an even better estimate of cumulative incidence than does simple prevalence in general populations.

New ‘High Streets’ in the Suburbs? the growing competitive impact of evolving retail parks

Following the emergence of retail parks in the late 1970s in Britain, they have grown in number, scale and degree of retail specialisation. Some continue to form concentrations offering primarily ‘bulky goods’ shopping, while others have diversified to offer traditional ‘high street’ functions from stores indistinguishable from their town and city centre equivalents. Consequently, in some cases the emergence of new ‘high streets’ in the suburbs can be posited. In view of the potential impact such developments might have on traditional shopping centres, this study reviews the development of retail parks in Britain in recent years, and examines the commercial impact of a retail park in the process of transition towards a suburban ‘high street’. Evidence from surveys in 2003 and 2004 of the Fforestfach Retail Park in the greater Swansea area indicates that the transition towards a suburban ‘high street’ is beginning to impact significantly on traditional shopping centres of all types. It was evident that even small additions of ‘high street’ functions between the two recent survey dates elicited a statistically significant strengthening of their trading impact. Consequently, it is suggested that upgraded retail parks are likely to become stronger competitive threats to the full range of district, town and city centres if ‘high street’ functions continue to be added to retail parks.

Access to Health Care Services for the Disabled Elderly

To determine whether difficulty walking and the strategies persons use to compensate for this deficit influenced downstream Medicare expenditures. Secondary data analysis of Medicare claims data (1999-2000) for age-eligible Medicare beneficiaries (N=4,997) responding to the community portion of the 1999 National Long Term Care Survey (NLTCS). Longitudinal cohort study. Walking difficulty and compensatory strategy were measured at the 1999 NLTCS, and used to predict health care use as measured in Medicare claims data from the survey date through year-end 2000. Respondents to the 1999 community NLTCS with complete information on key explanatory variables (walking difficulty and compensatory strategy) were linked with Medicare claims to define outcome variables (health care use and cost). Persons who reported it was very difficult to walk had more downstream home health visits (1.1/month, p<.001), but fewer outpatient physician visits (-0.16/month, p<.001) after controlling for overall disease burden. Those using a compensatory strategy for walking also had increased home health visits/month (0.55 for equipment, 1.0 for personal assistance, p<.001 for both) but did not have significantly reduced outpatient visits. Persons reporting difficulty walking had increased downstream Medicare costs ranging from 163 US dollars to 222 US dollars/month (p<.001) depending upon how difficult walking was. Less than half of the persons who used equipment to adapt to walking difficulty had their difficulty fully compensated by the use of equipment. Persons using equipment that fully compensated their difficulty used around 300 US dollars/month less in Medicare-financed costs compared with those with residual difficulty. Difficulty walking and use of compensatory strategies are correlated with the use of Medicare-financed services. The potential impact on the Medicare program is large, given how common such limitations are among the elderly.

Coral disease dynamics at a subtropical location, Solitary Islands Marine Park, eastern Australia

Recent observations suggest that a spreading disease is increasingly contributing to hard coral mortality in the Solitary Islands Marine Park, NSW, Australia. This study determined coral disease prevalence and rate-of-spread through individual affected colonies and investigated the effect this epizootic had on coral populations at sites adjacent to South West Solitary Island. Quantitative data were collected between 2002 and 2004 using photographic and video methods, and visual census along radial arc belt transects. Disease similar to the reported white syndrome and white plague was apparent, spreading through hard coral species from the genera Turbinaria, Acropora, Goniastrea, Pocillopora, Stylophora and Porites. Coral disease prevalence varied between survey dates with mean prevalence increasing from 8.55% during March 2003 to 13.58% in June and declining to 7.75% in September and 6.21% during March 2004. There was a significant difference in mean prevalence between the affected species (p<0.001) and an overall difference between survey dates (p=0.001). Additionally, the rate-of-spread of coral disease through coral colonies determined using repeated, seasonal, still photographs followed similar patterns, with disease progression differing between affected species (p=0.004), and between survey dates (p<0.001). Analysis of the video-transects indicated significant difference in disease prevalence over larger spatial scales (100s of m). However, disease frequency did not vary significantly between 2002 and 2003.

Health of the Negro1

Health of the Negro¹

Use of Antimicrobial Agents in United States Neonatal and Pediatric Intensive Care Patients

Antimicrobial use contributes to the development of emergence and dissemination of antimicrobial-resistant bacteria among intensive care unit (ICU) patients. There are few published data on antimicrobial use in neonatal (NICU) and pediatric ICU (PICU) patients. Personnel at 31 Pediatric Prevention Network hospitals participated in point prevalence surveys on August 4, 1999 (summer) and February 8, 2000 (winter). Data collected for all NICU and PICU inpatients included demographics, antimicrobials and indications for use and therapeutic interventions. Data were reported for 2647 patients in 29 NICUs (827 patients in summer; 753 in winter) and 35 PICUs (512 patients in summer; 555 in winter). PICU patients were more likely than NICU patients to be receiving antimicrobials on the survey date [758 of 1070 (70.8%) versus 684 of 1582 (43.2%), P < 0.0001]. NICU patients were receiving a higher median number of antimicrobials (2 versus 1, P < 0.0001). The most common agents among NICU patients were gentamicin, ampicillin and vancomycin; the most common agents among PICU patients were cefazolin, vancomycin and cefotaxime. Use of aminoglycosides, aminopenicillins and topical antibacterials was significantly more common in NICU patients; first, second and third generation cephalosporins, extended spectrum penicillins, sulfonamides, fluoroquinolones, antianaerobic agents, systemic antifungals and systemic antivirals were more common in PICU patients. This is the first U.S. national multicenter description of antimicrobial use in NICUs and PICUs and demonstrates the high prevalence of antimicrobial use among these patients. Assessment strategies targeting antimicrobial use in pediatrics are needed.

MODELING AVIAN ABUNDANCE FROM REPLICATED COUNTS USING BINOMIAL MIXTURE MODELS

Abundance estimation in ecology is usually accomplished by capture–recapture, removal, or distance sampling methods. These may be hard to implement at large spatial scales. In contrast, binomial mixture models enable abundance estimation without individual identification, based simply on temporally and spatially replicated counts. Here, we evaluate mixture models using data from the national breeding bird monitoring program in Switzerland, where some 250 1‐km2quadrats are surveyed using the territory mapping method three times during each breeding season. We chose eight species with contrasting distribution (wide–narrow), abundance (high–low), and detectability (easy–difficult). Abundance was modeled as a random effect with a Poisson or negative binomial distribution, with mean affected by forest cover, elevation, and route length. Detectability was a logit‐linear function of survey date, survey date‐by‐elevation, and sampling effort (time per transect unit). Resulting covariate effects and parameter estimates were consistent with expectations. Detectability per territory (for three surveys) ranged from 0.66 to 0.94 (mean 0.84) for easy species, and from 0.16 to 0.83 (mean 0.53) for difficult species, depended on survey effort for two easy and all four difficult species, and changed seasonally for three easy and three difficult species. Abundance was positively related to route length in three high‐abundance and one low‐abundance (one easy and three difficult) species, and increased with forest cover in five forest species, decreased for two nonforest species, and was unaffected for a generalist species. Abundance estimates under the most parsimonious mixture models were between 1.1 and 8.9 (median 1.8) times greater than estimates based on territory mapping; hence, three surveys were insufficient to detect all territories for each species. We conclude that binomial mixture models are an important new approach for estimating abundance corrected for detectability when only repeated‐count data are available. Future developments envisioned include estimation of trend, occupancy, and total regional abundance.

The UK land cover map 2000: Planning, construction and calibration of a remotely sensed, user-oriented map of broad habitats

Land cover map 2000 (LCM2000) is a comprehensive survey of UK broad habitats giving vector digital maps from segment-based classification of remotely sensed satellite data. This paper examines the influence of users in designing LCM2000 and the difficulties in applying a user-defined classification. It assesses problems and successes through comparisons with a sample-based field survey. These suggest that LCM2000 accuracy at broad habitat level may be around 80–85%; however, it was not possible fully to discriminate errors in LCM2000 from those of the field survey or from mismatches in scales, resolutions and survey dates. Calibration generated broad habitat cover statistics from LCM2000 data to field survey equivalence. These take full account of the heterogeneity of a study area, helping to generate accurate statistics, including those at local level where the field survey cannot operate effectively. The paper concludes that the comprehensive and extensive coverage from remote sensing comes closer than alternative methods to meeting users needs. However, it recognises that producers of remotely sensed information need to understand better the needs of users, and users need to appreciate what the technology can and cannot deliver. This paper adds some benefits of hindsight to the process of communication.

Pervasive Developmental Disorders in Preschool Children: Confirmation of High Prevalence

The rate of reported pervasive developmental disorders has increased, and the authors found a rate of 62.6 per 10,000 in a previous study of preschoolers in Stafford, U.K. They conducted another survey in 2002 to estimate the prevalence in children in a later birth cohort and to compare it to previous findings from the same area. Screening for developmental problems included 10,903 children ages 4.0 to 6.0 years who were living in a Midlands town on the survey date. Children with symptoms suggestive of pervasive developmental disorders were intensively assessed by a multidisciplinary team using standardized diagnostic interviews, psychometric tests, and medical workups. Sixty-four children (85.9% boys) were diagnosed with pervasive developmental disorders. The prevalence was 58.7 per 10,000, with a 95% confidence interval (CI) of 45.2-74.9, for all pervasive developmental disorders, 22.0 per 10,000 (95% CI=14.1-32.7) for autistic disorder, and 36.7 per 10,000 (95% CI=26.2-49.9) for other variants. These rates were not significantly different from the previous rates. The mean age at diagnosis was 37.8 months, and 53.1% of the children were originally referred by health visitors. Of the 64 children with pervasive developmental disorders, 29.8% had mental retardation, but this rate varied by disorder subtype. Few children had associated medical conditions. The rate of pervasive developmental disorders is higher than reported 15 years ago. The rate in this study is comparable to that in previous birth cohorts from the same area and surveyed with the same methods, suggesting a stable incidence.

Lifetime alcohol abstainers and moderate drinkers have a lower lifetime prevalence of mood and anxiety disorders than problem drinkers

Sareen J, McWilliams L, Cox B, et al . Does a U-shaped relationship exist between alcohol use and DSM-III-R mood and anxiety disorders? J Affect Disord 2004;82:113–18.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q...

&lt;i&gt;Plasmodium falciparum&lt;/i&gt; parasite prevalence in East Africa: A Review

Empirical data on malaria endemicity are rarely available for public domain use to guide effective malaria control. This paper describes the work carried in East Africa since 1997 as part of a pan-African collaboration to map the risk of malaria, Mapping Malaria Risk in Africa (MARA) aimed at redressing deficiency. Studies of cross-sectional community estimates of Plasmodium falciparum prevalence among children aged 0-15 years were identified from a variety of sources including electronic searches of published material, manual review of pre-electronic peer reviewed journals and searches of libraries and archives in Kenya, Tanzania and Uganda. Each survey source, infection prevalence, date, longitude and latitude and survey characteristics were recorded. All data were subjected to a number of selection criteria including minimum sample sizes, samples randomly selected, community-based surveys, age ranges of sampled communities within 0-15 years, and surveys that were spatially unique. Of the 2,003 survey data points identified since 1907 in East Africa, only 503 were eligible for inclusion in the analysis dating from 1927 to 2003. The spatial plots of the data demonstrate the paucity of information on malaria prevalence from a number of densely populated areas and highlight the concentration of empirical data in concert with research centres in the sub-region. Models are required to define malaria risk in areas of East Africa where no empirical data are available so that limited resources can be better targeted to those in greatest need.

Monitoring the abundance of mouflon in South France

Monitoring change in the population size of mouflon (Ovis gmelini musimon × Ovis sp.) in rugged areas is an important yet difficult task for wildlife ecologists. To assess population change of mouflon inhabiting the Caroux-Espinouse massif, France, we compared a pedestrian and helicopter survey, using counts of animals as indices of abundance. Environmental factors such as date of survey and temperature affected the detection of mouflons from the ground and the air. Both indices were sensitive to observed changes in population size. A decrease in the pedestrian index was recorded in 1994, the year following an epizootic of keratoconjunctivitis, which markedly reduced the survival rate of mouflon. Variations in pedestrian index accounted for variations in harvests when excluding epizootic events. Both surveys detected a decrease in population size, which accounted for the recent increase of harvest. Helicopter and pedestrian surveys are reliable tools to monitor annually mouflons in mountainous areas. Simulations indicated that helicopter surveys should be preferred by managers because they provide the best trade-off between cost and precision.

Politics or Economics? International Migration during the Nicaraguan Contra War

The issue of whether Central Americans in the United States are 'political' or 'economic' migrants has been widely debated, yet little empirical research has informed the controversy. Earlier studies have relied primarily on cross-sectional aggregate data. In order to overcome these limitations we draw on recent surveys conducted in five Nicaraguan communities by the Latin American Migration Project. Using retrospective data, we reconstruct a history of a family's migration to the United States and Costa Rica from the date of household formation to the survey date and link these data to national-level data on GDP and Contra War violence. While out migration to both Costa Rica and the United States is predicted by economic trends, US-bound migration was more strongly linked to the level of Contra War violence independent of economic motivations, especially in an interactive model that allows for a higher wartime effect of social networks. We conclude that elevated rates of Nicaraguan migration to the United States during the late 1980s and early 1990s were a direct result of the US-Contra intervention. The approach deployed here - which relates to the timing of migration decisions to macro-level country trends - enables us to address the issue of political versus economic motivations for migration with more precision than prior work.

地盤物性値の空間推定における高精度化手法の提案

The geological survey using boring is often performed to obtain information for geotechnical parameters. Therefore, a lot of survey dates for geotechnical characterizations on ground have been accumulated. However, these data have not been put to practical use. The authors have performed the estimation of spatial distribution of the geotechnical characterization by the use of these data and a new information processing technique replacing by the empirical method used by the expert. In this study, a precise spatial estimation approach using a new algorithm improved the SOM with considering soil information is proposed. The efficiency is demonstrated by an example for estimating the spatial characterization of N value using actual boring data.