Evidence map›Paper›PMID 36424337›Full record

SynthesisThe Lancet. Digital health2023

Mapping the global distribution of spotted fever group rickettsiae: a systematic review with modelling analysis.

Yuan-Yuan Zhang, Yan-Qun Sun, Jin-Jin Chen, Ai-Ying Teng, Tao Wang, Hao Li, Simon I Hay, Li-Qun Fang, Yang Yang, Wei Liu

Open access · goldFull text readSystematic Review
In one paragraph

Synthesis in The Lancet. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
16.0field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Mapping the Global Distribution ofTransboundary and emerging diseases · 2025
    Pooled it
  3. Review
  4. Spotted feverMicrobiology spectrum · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Human infection by an unclassifiedNew microbes and new infections · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Assessment of the Pathogenicity ofPathogens (Basel, Switzerland) · 2026
    Article
  14. Article
  15. Review
  16. Ecological niche and rickettsial risk mapping ofFrontiers in cellular and infection microbiology · 2026
    Article
  17. Review
  18. Review
  19. Case Report: PediatricFrontiers in pediatrics · 2026
    Article
  20. A novelFrontiers in cellular and infection microbiology · 2026
    Article

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Yuan-Yuan ZhangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Yan-Qun SunState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Jin-Jin ChenState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Ai-Ying TengState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Tao WangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Hao LiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Simon I HayDepartment of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China. Electronic address: fang_lq@163.com.
Yang YangDepartment of Statistics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address: liuwei@bmi.ac.cn.
Institute of Microbiology · CNFranklin College · USInstitute for Health Metrics and Evaluation · US

Funding

Mathematical and Statistical Methods for the Control of Global Infectious Disease ThreatsR56AI148284 · NIAID · UNIVERSITY OF FLORIDA · PI HALLORAN, M ELIZABETH, LONGINI, IRA M · 2020 to 2020
$802k
NIAID NIH HHS R56 AI148284
6 · The paper itself

Abstract

backgroundEmerging and re-emerging spotted fever group (SFG) rickettsioses are increasingly recognised worldwide as threats to public health, yet their global distribution and associated risk burden remain poorly understood.

methodsIn this systematic review and modelling analysis, we mapped global distributions of all confirmed species of SFG rickettsiae (SFGR) detected in animals, vectors, and human beings, using data collected from the literature. We assessed ecological drivers for the distributions of 17 major SFGR species using machine learning algorithms, and mapped model-predicted risks.

findingsBetween Jan 1, 1906, and March 31, 2021, we found reports of 48 confirmed SFGR species, with 66 133 human infections worldwide, with a large spatial variation across the continents. 198 vector species were detected to carry 47 of these Rickettsia spp. (146 ticks, 24 fleas, 15 mosquitoes, six mites, four lice, two keds, and one bug). Based on model-predicted global distributions of the 17 major SFGR species, we found five spatial clusters aggregated by ecological similarity in terms of environmental and ecoclimatic features. Rickettsia felis is the leading SFGR species to which 4·4 billion (95% CI 3·8-5·3 billion) people are at risk, followed by Rickettsia conorii (3·7 billion) and Rickettsia africae (3·6 billion).

interpretationThe wide spectrum of vectors is contributing substantially to the increasing incidence of SFGR infections among humans. Awareness, diagnosis, and surveillance of SFGR infections should be improved in the high-risk regions, especially in areas where human infections are underreported.

fundingNational Key Research and Development Program of China.

Indexed as

RickettsiaSpotted Fever Group RickettsiosisTicksAnimalsChinaHumansPublic Health

Identifiers

PMID36424337
PMCPMC10039616
OpenAlexW4309503091

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read24
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.