Evidence map›Paper›PMID 33705400›Full record

ArticlePLoS neglected tropical diseases2021

'None of my ancestors ever discussed this disease before!' How disease information shapes adaptive capacity of marginalised rural populations in India.

Festus A Asaaga, Mujeeb Rahman, Suresh D Kalegowda, Jagadeesh Mathapati, Irfanahemad Savanur, Prashanth N Srinivas, Tanya Seshadri, Darshan Narayanswamy, Shivani K Kiran, Meera A Oommen and 2 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

12 authors.

Festus A AsaagaUK Centre for Ecology & Hydrology, Wallingford, United Kingdom.ORCID 0000-0003-2675-9464
Mujeeb RahmanAshoka Trust for Research in Ecology and the Environment, Bengaluru, India.
Suresh D KalegowdaICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.ORCID 0000-0002-6984-344X
Jagadeesh MathapatiAshoka Trust for Research in Ecology and the Environment, Bengaluru, India.
Irfanahemad SavanurAshoka Trust for Research in Ecology and the Environment, Bengaluru, India.
Prashanth N SrinivasInstitute of Public Health, Bangalore, India.ORCID 0000-0003-0968-0826
Tanya SeshadriAshoka Trust for Research in Ecology and the Environment, Bengaluru, India.ORCID 0000-0002-7357-0472
Darshan NarayanswamyDepartment of Health and Family Welfare Services, Government of Karnataka, Shivamogga, India.
Shivani K KiranDepartment of Health and Family Welfare Services, Government of Karnataka, Shivamogga, India.
Meera A OommenAshoka Trust for Research in Ecology and the Environment, Bengaluru, India.ORCID 0000-0002-3670-5323
Juliette C YoungUK Centre for Ecology & Hydrology, Edinburgh, United Kingdom.ORCID 0000-0002-8522-0883
Bethan V PurseUK Centre for Ecology & Hydrology, Wallingford, United Kingdom.

Funding

Biotechnology and Biological Sciences Research CouncilDBT-Wellcome Trust India Alliance IA/CPHI/16/1/502648Medical Research Council MR/ P024335/1Medical Research Council MR/P024335/1Medical Research Council MR/P024335/2Medical Research Council MR/T029846/1
6 · The paper itself

Abstract

Smallholder farmer and tribal communities are often characterised as marginalised and highly vulnerable to emerging zoonotic diseases due to their relatively poor access to healthcare, worse-off health outcomes, proximity to sources of disease risks, and their social and livelihood organisation. Yet, access to relevant and timely disease information that could strengthen their adaptive capacity remain challenging and poorly characterised in the empirical literature. This paper addresses this gap by exploring the role of disease information in shaping the adaptive capacity of smallholder farmer and tribal groups to Kyasanur Forest Disease (KFD), a tick-borne viral haemorrhagic fever. We carried out household surveys (n = 229) and in-depth interviews (n = 25) in two affected districts-Shimoga and Wayanad-in the Western Ghats region. Our findings suggest that, despite the generally limited awareness about KFD, access to disease information improved households' propensity to implement adaptation strategies relative to households that had no access to it. Of the variety of adaptation strategies implemented, vaccination, avoiding forest visits, wearing of protective clothing and footwear, application of dimethyl phthalate (DMP) oil and income diversification were identified by respondents as important adaptive measures during the outbreak seasons. Even so, we identified significant differences between individuals in exposure to disease information and its contribution to substantive adaptive action. Households reported several barriers to implement adaptation strategies including, lack of disease information, low efficacy of existing vaccine, distrust, religio-cultural sentiments, and livelihood concerns. We also found that informal information sharing presented a promising avenue from a health extension perspective albeit with trade-offs with potential distortion of the messages through misinformation and/or reporting bias. Altogether, our findings stress the importance of contextualising disease information and implementing interventions in a participatory way that sufficiently addresses the social determinants of health in order to bolster households' adaptive capacity to KFD and other neglected endemic zoonoses.

Indexed as

Adaptation, PsychologicalAdolescentAdultAgedAnimalsDisease OutbreaksDisease SusceptibilityFamily CharacteristicsFemaleHumansIndiaInformation ServicesKyasanur Forest DiseaseMaleMiddle AgedRural Population

Identifiers

PMID33705400
PMCPMC7987196

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.