Evidence map›Paper›PMID 34626632›Full record

ArticleThe Science of the total environment2022

Compound impact of drought and COVID-19 on agriculture yield in the USA.

Ramprasad Yaddanapudi, Ashok K Mishra

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
10.9field-weighted citation impact, top 2% 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

5 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. New York State Climate Impacts Assessment Chapter 03: Agriculture.Annals of the New York Academy of Sciences · 2024
    Article
  4. Article
  5. Developing Psychological Resilience to the Impact of Drought.International journal of environmental research and public health · 2023
    Article
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

2 authors at 1 institution in 1 country.

Ramprasad YaddanapudiGlenn Department of Civil Engineering, Clemson University, Clemson, SC, USA.
Ashok K MishraGlenn Department of Civil Engineering, Clemson University, Clemson, SC, USA. Electronic address: ashokm@g.clemson.edu.
Clemson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The resilience of agricultural systems in the face of drought has improved over the decades, but the ongoing COVID-19 pandemic presents a new and unexpected challenge to the agriculture sector. The combination of drought and COVID-19 can lead to a compounding impact on farming sectors, including crop yield. This study investigated the potential impact of drought, COVID-19, and their compound effect on three major crop yields in 2020. The analysis was carried out using the Geographically Weighted Regression (GWR) concept to model the spatially varying relationship between Standardized precipitation evaporation index (SPEI), COVID-19 incidence rate, and three crop yields (corn, soybeans, and wheat) across the counties located in the USA. The GWR model was suitable for capturing local scale crop variability, and the potential hotspots are identified where the compound effect is dominant. Although the drought in 2020 was not extreme compared to the past events, the median crop yield during 2020 for the three crop yields was lower than their historical (1980-2020) median values, which highlights the potential role of COVID-19 on reduced crop yields. The compound effect of drought and COVID-19 seem to vary in terms of crop and region wise. For example, the compound effect on corn was prominent in Central California and several counties in Midwest USA. In contrast, the effect was more in eastern South Dakota, Colorado, and more scattered for wheat.

Indexed as

COVID-19DroughtsAgricultureHumansPandemicsSARS-CoV-2AgricultureCOVID-19DroughtGeographically weighted regression

Identifiers

PMID34626632
PMCPMC9755809
OpenAlexW3202239811

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.