Evidence mapPaperPMID 35601228Full record

ReviewHeliyon2022

Microbial ecology and evolution is key to pandemics: using the coronavirus model to mitigate future public health challenges.

Emmanuel Sunday Okeke, Chinasa Valerie Olovo, Ndidi Ethel Nkwoemeka, Charles Obinwanne Okoye, Chidiebele Emmanuel Ikechukwu Nwankwo, Chisom Joshua Onu

Abstract readReview
In one paragraph

Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Emmanuel Sunday OkekeDepartment of Biochemistry, Faculty of Biological Sciences and Environmental Biology, University of Nigeria, Nsukka, 410001, Enugu State, Nigeria.
Chinasa Valerie OlovoDepartment of Microbiology, Faculty of Biological Sciences, University of Nigeria Nsukka, 400001, Enugu State, Nigeria.
Ndidi Ethel NkwoemekaNatural Sciences Unit, School of General Studies, University of Nigeria, Nsukka, 400001, Enugu State, Nigeria.
Charles Obinwanne OkoyeDepartment of Zoology and Environmental Biology, University of Nigeria, Nsukka, 400001, Enugu State, Nigeria.
Chidiebele Emmanuel Ikechukwu NwankwoNatural Sciences Unit, School of General Studies, University of Nigeria, Nsukka, 400001, Enugu State, Nigeria.
Chisom Joshua OnuDepartment of Microbiology, Faculty of Biological Sciences, University of Nigeria Nsukka, 400001, Enugu State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemics are global challenges that lead to total disruption of human activities. From the inception of human existence, all pandemics have resulted in loss of human lives. The coronavirus disease caused by SAR-CoV-2 began in China and is now at the global scale with an increase in mortality and morbidity. Numerous anthropogenic activities have been implicated in the emergence and severity of pandemics, including COVID-19. These activities cause changes in microbial ecology, leading to evolution due to mutation and recombination. This review hypothesized that an understanding of these anthropogenic activities would explain the dynamics of pandemics. The recent coronavirus model was used to study issues leading to microbial evolution, towards preventing future pandemics. Our review highlighted anthropogenic activities, including deforestation, mining activities, waste treatment, burning of fossil fuel, as well as international travels as drivers of microbial evolution leading to pandemics. Furthermore, human-animal interaction has also been implicated in pandemic incidents. Our study recommends substantial control of such anthropogenic activities as having been highlighted as ways to reduce the frequency of mutation, reduce pathogenic reservoirs, and the emergence of infectious diseases.

Indexed as

AnthropogenicCOVID-19EvolutionMicrobial ecologyMutationPandemicsSARS-CoV-2

Identifiers

PMID35601228
PMCPMC9113781

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.