Evidence map›Paper›PMID 32575016›Full record

ArticleMedical hypotheses2020

Fate of respiratory droplets in tropical vs temperate environments and implications for SARS-CoV-2 transmission.

Anusha Rohit, Shankar Rajasekaran, Indrani Karunasagar, Iddya Karunasagar

Open access · greenAbstract read
In one paragraph

Article in Medical hypotheses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 24% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. COVID-19 in Cyanotic Congenital Heart Disease.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2023
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
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

4 authors at 2 institutions in 1 country.

Anusha RohitThe Madras Medical Mission, 4-A, Dr. Mogappair, Chennai 600037, India. Electronic address: dr.anusharohit@mmm.org.in.
Shankar RajasekaranSubject Matter Expert - Air Cleaning & Contamination Control Engineering, Chennai 600062, India.
Indrani KarunasagarNITTE University Center for Science Education and Research, Paneer Campus, Mangalore 575018, India.
Iddya KarunasagarNITTE University, Deralakatte, Mangalore 575018, India.
Nitte University · INMadras Medical Mission · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The new pandemic of SARS-CoV-2 has shown stark differences in number of affected patients between countries in the tropics and those with temperate environments. Though there have been many theories on reasons for these differences, we hypothesise that this could be due to differences in the fate of respiratory droplets in the two environments. A simple understanding of the mechanics of droplet size, dispersion and displacement could help infection control and public health measures to minimize spread and mitigate the risk of people getting infected especially in hotspots like hospital environments or other closed spaces. This paper discusses the possibility of differences in number of infections and spread between different countries based on the spread of droplets.

Indexed as

Air MicrobiologyDisease Transmission, InfectiousEnvironmentMeteorological ConceptsPandemicsAir MovementsCOVID-19Geography, MedicalGlobal HealthHumansHumidityParticle SizeRheologySARS-CoV-2TemperatureTropical ClimateCOVID-19PandemicRespiratory dropletsSARS-CoV-2Transmission

Identifiers

PMID32575016
PMCPMC7282739
OpenAlexW3033762290

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.