Evidence map›Paper›PMID 38603396›Full record

ArticleOutlook on agriculture2022

Assessing impacts of COVID-19 and their responses among smallholder farmers in Brazil, Madagascar and Tanzania.

Katharina Löhr, Paschal Mugabe, Ana Paula Dias Turetta, Jonathan Steinke, Camilo Lozano, Michelle Bonatti, Luca Eufemia, Larissa Hery Ito, Alexandra Konzack, Stefan Kroll and 5 more

Open access · greenAbstract read
In one paragraph

Article in Outlook on agriculture, 2022. 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
2.7field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  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

15 authors at 7 institutions in 3 countries.

Katharina LöhrLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.ORCID https://orcid.org/0000-0003-2691-9712
Paschal MugabeLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.ORCID https://orcid.org/0000-0002-6592-2087
Ana Paula Dias TurettaLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.ORCID https://orcid.org/0000-0002-8987-1747
Jonathan SteinkeLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Camilo LozanoLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Michelle BonattiLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Luca EufemiaLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Larissa Hery ItoLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Alexandra KonzackLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Stefan KrollPeace Research Institute Frankfurt (PRIF), Research Department II International Institutions, Hessen, Germany.
Charles Peter MgeniCollege of Economics and Business Studies, Sokoine University of Agriculture, Morogoro, Tanzania.
Dina Ramanank' AndrasanaIndependent Consultant, Antananarivo, Madagascar.
Sophia TadesseLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Masoud YazdanpanahAgricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.
Stefan SieberLeibniz Centre for Agricultural Landscape Research (ZALF e.V.), Müncheberg, Germany.
Humboldt-Universität zu Berlin · DELeibniz Centre for Agricultural Landscape Research · DEAgricultural Sciences and Natural Resources University of KhuzestanBrazilian Agricultural Research Corporation · BRPeace Research Institute Frankfurt · DESokoine University of Agriculture · TZUniversity of Dar es Salaam · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the impacts of the first wave of the COVID-19 pandemic on smallholder farmers and their coping strategies in three contrasting Low- and Middle-Income Countries. The case studies include Brazil (South region), Madagascar (Atsimo Atsinanana region), and Tanzania (Morogoro/Eastern Tanzania). These countries were chosen because i) the economies are strongly influenced by the agricultural sector; ii) their national food security is strongly affected by smallholder production, and, iii) they represent a set of contrasting government responses to COVID-19 including the denial of the pandemic. Data were collected through semi-structured household interviews in all three countries in rural areas. COVID-19 induced effects were found in all three countries, including in Brazil and Tanzania where both national governments initially neglected the existence of COVID-19 and introduced few containment measures only. Here, mobility and trade restrictions of other countries impact also on agricultural trade and production in countries in which governments took less action to COVID-19 and also people remained home and practiced social distancing even if no official government policy was issued. The findings in all three countries suggest that the COVID-19 crisis had negatively affected smallholders' agricultural production, leading to a vicious cycle of low production, low incomes, and higher food insecurity. Results of this study raise the thorny issue of how best to balance containment of pandemic and future shocks against the well-being of the vulnerable rural population in lower- and middle-income countries; especially considering also the degree of global interconnected and the potential of polices to effect people beyond the national scale.

Indexed as

agriculturecoping strategiesCOVID-19government policiespreventive measuressmallholders

Identifiers

PMID38603396
PMCPMC9515754
OpenAlexW4297539659

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.