Evidence map›Paper›PMID 36568705›Full record

ArticleOcean & coastal management2021

Variation of population density on a beach: A simple analytical formulation.

Walter Dragani, Guido Bacino, Guadalupe Alonso

Abstract read
In one paragraph

Article in Ocean & coastal management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Walter DraganiServicio de Hidrografía Naval, Av. Montes de Oca 2124 (C1270ABV), Ciudad de Buenos Aires, Argentina.
Guido BacinoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz, 2290 (C1425FQB), Ciudad de Buenos Aires, Argentina.
Guadalupe AlonsoServicio de Hidrografía Naval, Av. Montes de Oca 2124 (C1270ABV), Ciudad de Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the novel coronavirus was reported (December 2019), the virus spread rapidly breaking through frontiers and impacting almost all countries of the world. Tourism is one of the sectors that has been heavily affected by the crisis. Even though there are several protocols for tourism activities that were written for the austral summer season, at the present, physical distancing is considered an effective way to reduce the spread of the virus. Clear and simple public actions should be rapidly implemented by the authorities to minimize the number of people on the beach. For instance, increasing the number of accesses to the beaches, building parking lots adjacent to the farthest beaches, or opening coastal roads on the outskirts of town to expand usable beaches, would be some simple and direct measures to reduce the beach population density. A simple analytical formulation for assessing the percentage decrease of the static population density respect to the absolute maximum population density on a beach is described in this paper. The variables of this simple analytical tool are the instantaneous sea-level (tide), air temperature, and beach expansion. Beach expansion is the single and manageable variable of the formulation, and refers to the inclusion of some near or adjacent extension of beach. It is suggested that the expansion of beaches would be very useful not only for pandemic time but also for the new normality. An application of this methodology is presented in the municipality of La Costa, Argentina.

Indexed as

Application exampleArgentinaBeach populationMunicipality of La CostaSARS-CoV-2

Identifiers

PMID36568705
PMCPMC9759374

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.