Evidence map›Paper›PMID 35320277›Full record

Observational studyPLoS neglected tropical diseases2022

Risk factors analysis for neglected human rickettsioses in rural communities in Nan province, Thailand: A community-based observational study along a landscape gradient.

Kittipong Chaisiri, Ampai Tanganuchitcharnchai, Anamika Kritiyakan, Chuanphot Thinphovong, Malee Tanita, Serge Morand, Stuart D Blacksell

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Molecular Evidence ofMicroorganisms · 2023
    Article
  9. Article
  10. Antibody Prevalence and Risk Factors Associated withPathogens (Basel, Switzerland) · 2022
    Article
  11. 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

7 authors at 5 institutions in 3 countries.

Kittipong ChaisiriDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID 0000-0001-6795-3541
Ampai TanganuchitcharnchaiMahidol-Oxford Tropical Research Medicine Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Anamika KritiyakanFaculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.
Chuanphot ThinphovongFaculty of Veterinary Technology, Kasetsart University, Bangkok, Thailand.
Malee TanitaSaen Thong Health Promoting Hospital, Tha Wang Pha, Nan, Thailand.
Serge MorandDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Stuart D BlacksellMahidol-Oxford Tropical Research Medicine Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID 0000-0001-6576-726X
Kasetsart University · THAngkor Hospital for Children · KHMahidol Oxford Tropical Medicine Research Unit · THMahidol University · THThai Health Promotion Foundation · TH

Funding

Wellcome TrustWellcome Trust 220211
6 · The paper itself

Abstract

In this study, we estimated exposure for Scrub typhus (STG), Typhus (TG) and Spotted fever groups (SFG) rickettsia using serology at a fine scale (a whole sub-district administration level) of local communities in Nan Province, Thailand. Geographical characteristics of the sub-district were divided into two landscape types: lowland agricultural area in an urbanized setting (lowland-urbanized area) and upland agricultural area located close to a protected area of National Park (upland-forested area). This provided an ideal contrast between the two landscapes with low and high levels of human-altered habitats to study in differences in disease ecology. In total, 824 serum samples of participants residing in the eight villages were tested by screening IgG ELISA, and subsequently confirmed by the gold standard IgG Immunofluorescent Assay (IFA). STG and TG IgG positivity were highest with seroprevalence of 9.8% and 9.0%, respectively; whereas SFG positivity was lower at 6.9%. Inhabitants from the villages located in upland-forested area demonstrated significantly higher STG exposure, compared to those villages in the lowland-urbanized area (chi-square = 51.97, p < 0.0001). In contrast, TG exposure was significantly higher in those villagers living in lowland-urbanized area (chi-square = 28.26, p < 0.0001). In addition to the effect of landscape types, generalized linear model (GLM) analysis identified socio-demographic parameters, i.e., gender, occupation, age, educational level, domestic animal ownership (dog, cattle and poultry) as influential factors to explain the level of rickettsial exposure (antibody titers) in the communities. Our findings raise the public health awareness of rickettsiosis as a cause of undiagnosed febrile illness in the communities.

Indexed as

RickettsiaRickettsia InfectionsScrub TyphusAnimalsAntibodies, BacterialCattleDogsHumansRisk FactorsRural PopulationSeroepidemiologic StudiesThailandAntibodies, Bacterial

Identifiers

PMID35320277
PMCPMC8979453
OpenAlexW4221072144

What OpenQuestion holds

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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.