Evidence map›Paper›PMID 35303467›Full record

ReviewThe Lancet. Global health2022

Strengthening global health security by improving disease surveillance in remote rural areas of low-income and middle-income countries.

Katherine E L Worsley-Tonks, Jeff B Bender, Sharon L Deem, Adam W Ferguson, Eric M Fèvre, Dino J Martins, Dishon M Muloi, Suzan Murray, Mathew Mutinda, Darcy Ogada and 5 more

Abstract readReview
In one paragraph

Review in The Lancet. Global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
–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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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.

Katherine E L Worsley-TonksGlobal Health Program, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA. Electronic address: worsley-tonksk@si.edu.
Jeff B BenderSchool of Public Health, University of Minnesota, Minneapolis, MN, USA.
Sharon L DeemInstitute for Conservation Medicine, Saint Louis Zoo, Saint Louis, MO, USA.
Adam W FergusonGantz Family Collection Center, Field Museum of Natural History, Chicago, IL, USA.
Eric M FèvreInternational Livestock Research Institute, Nairobi, Kenya; Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Dino J MartinsMpala Research Centre, Nanyuki, Kenya; Department of Ecology and Evolution, Princeton University, Princeton, NJ, USA.
Dishon M MuloiInternational Livestock Research Institute, Nairobi, Kenya; Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Suzan MurrayGlobal Health Program, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.
Mathew MutindaVeterinary Services Department, Kenya Wildlife Service, Nairobi, Kenya.
Darcy OgadaThe Peregrine Fund, Boise, ID, USA; National Museums of Kenya, Nairobi, Kenya.
George P OmondiDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, USA; Ahadi Veterinary Resource Center, Nairobi, Kenya.
Shailendra PrasadCenter for Global Health and Social Responsibility, University of Minnesota, Minneapolis, MN, USA.
Hannah WildDepartment of Surgery, University of Washington, Seattle, WA, USA.
Dawn M ZimmermanDepartment of Clinical Studies, University of Nairobi, Nairobi, Kenya; Department of Epidemiology of Microbial Disease, Yale School of Public Health, New Haven, CT, USA.
James M HassellGlobal Health Program, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA; Department of Epidemiology of Microbial Disease, Yale School of Public Health, New Haven, CT, USA.

Funding

Biotechnology and Biological Sciences Research Council BB/L019019/1Medical Research Council G1100783Medical Research Council MR/R015090/1
6 · The paper itself

Abstract

The COVID-19 pandemic has underscored the need to strengthen national surveillance systems to protect a globally connected world. In low-income and middle-income countries, zoonotic disease surveillance has advanced considerably in the past two decades. However, surveillance efforts often prioritise urban and adjacent rural communities. Communities in remote rural areas have had far less support despite having routine exposure to zoonotic diseases due to frequent contact with domestic and wild animals, and restricted access to health care. Limited disease surveillance in remote rural areas is a crucial gap in global health security. Although this point has been made in the past, practical solutions on how to implement surveillance efficiently in these resource-limited and logistically challenging settings have yet to be discussed. We highlight why investing in disease surveillance in remote rural areas of low-income and middle-income countries will benefit the global community and review current approaches. Using semi-arid regions in Kenya as a case study, we provide a practical approach by which surveillance in remote rural areas can be strengthened and integrated into existing systems. This Viewpoint represents a transition from simply highlighting the need for a more holistic approach to disease surveillance to a solid plan for how this outcome might be achieved.

Indexed as

COVID-19Global HealthDeveloping CountriesHumansPandemicsPoverty

Identifiers

PMID35303467
PMCPMC8923676

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.