Evidence map›Paper›PMID 27855171›Full record

ArticlePLoS neglected tropical diseases2016

Cholera in Cameroon, 2000-2012: Spatial and Temporal Analysis at the Operational (Health District) and Sub Climate Levels.

Moise C Ngwa, Song Liang, Ian T Kracalik, Lillian Morris, Jason K Blackburn, Leonard M Mbam, Simon Franky Baonga Ba Pouth, Andrew Teboh, Yang Yang, Mouhaman Arabi and 2 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. How climate change can affect cholera incidence and prevalence? A systematic review.Environmental science and pollution research international · 2020
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Viruses · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Contrasting Epidemiology of Cholera in Bangladesh and Africa.The Journal of infectious diseases · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors.

Moise C NgwaEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.ORCID http://orcid.org/0000-0002-1359-6267
Song LiangEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Ian T KracalikEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Lillian MorrisEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Jason K BlackburnEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Leonard M MbamWorld Health Organization country office for The Republic of Cameroon, Yaoundé, Republic of Cameroon.
Simon Franky Baonga Ba PouthCellule de Supervision, Suivi et Evaluation, Délégation Régionale de la Santé Publique du Centre, Yaoundé, Cameroun.
Andrew TebohField Epidemiology and Laboratory Training Program, University of Yaoundé, Yaoundé, Republic of Cameroon.
Yang YangEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Mouhaman ArabiHigher Institute of the Sahel, University of Maroua, Maroua, Republic of Cameroon.
Jonathan D SugimotoCenter for Inference and Dynamics of Infectious Diseases and Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle Washington, United States of America.
John Glenn MorrisEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Cholera Transmission in Gressier Region, HaitiR01AI097405 · NIAID · UNIVERSITY OF FLORIDA · PI MORRIS, JOHN GLENN · 2012 to 2015
$2.7M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NIAID NIH HHS R01 AI097405NIGMS NIH HHS U54 GM111274NIH HHS S10 OD020069World Health Organization 001
6 · The paper itself

Abstract

introductionRecurrent cholera outbreaks have been reported in Cameroon since 1971. However, case fatality ratios remain high, and we do not have an optimal understanding of the epidemiology of the disease, due in part to the diversity of Cameroon's climate subzones and a lack of comprehensive data at the health district level. METHODS/

findingsA unique health district level dataset of reported cholera case numbers and related deaths from 2000-2012, obtained from the Ministry of Public Health of Cameroon and World Health Organization (WHO) country office, served as the basis for the analysis. During this time period, 43,474 cholera cases were reported: 1748 were fatal (mean annual case fatality ratio of 7.9%), with an attack rate of 17.9 reported cases per 100,000 inhabitants per year. Outbreaks occurred in three waves during the 13-year time period, with the highest case fatality ratios at the beginning of each wave. Seasonal patterns of illness differed strikingly between climate subzones (Sudano-Sahelian, Tropical Humid, Guinea Equatorial, and Equatorial Monsoon). In the northern Sudano-Sahelian subzone, highest number of cases tended to occur during the rainy season (July-September). The southern Equatorial Monsoon subzone reported cases year-round, with the lowest numbers during peak rainfall (July-September). A spatial clustering analysis identified multiple clusters of high incidence health districts during 2010 and 2011, which were the 2 years with the highest annual attack rates. A spatiotemporal autoregressive Poisson regression model fit to the 2010-2011 data identified significant associations between the risk of transmission and several factors, including the presence of major waterbody or highway, as well as the average daily maximum temperature and the precipitation levels over the preceding two weeks. The direction and/or magnitude of these associations differed between climate subzones, which, in turn, differed from national estimates that ignored subzones differences in climate variables. CONCLUSIONS/SIGNIFICANCE: The epidemiology of cholera in Cameroon differs substantially between climate subzones. Development of an optimal comprehensive country-wide control strategy for cholera requires an understanding of the impact of the natural and built environment on transmission patterns at the local level, particularly in the setting of ongoing climate change.

Indexed as

ClimatePopulation SurveillanceSpatio-Temporal AnalysisAdultCameroonCholeraClimate ChangeCluster AnalysisDisease OutbreaksHumansIncidenceModels, StatisticalPoisson DistributionRainRisk FactorsSeasons

Identifiers

PMID27855171
PMCPMC5113893

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.