| Title |
Do hotspots fuel malaria transmission: a village-scale spatio-temporal analysis of a 2-year cohort study in The Gambia
|
|---|---|
| Published in |
BMC Medicine, September 2018
|
| DOI | 10.1186/s12916-018-1141-4 |
| Pubmed ID | |
| Authors |
Gillian H. Stresman, Julia Mwesigwa, Jane Achan, Emanuele Giorgi, Archibald Worwui, Musa Jawara, Gian Luca Di Tanna, Teun Bousema, Jean-Pierre Van Geertruyden, Chris Drakeley, Umberto D’Alessandro |
| Abstract |
Despite the biological plausibility of hotspots fueling malaria transmission, the evidence to support this concept has been mixed. If transmission spreads from high burden to low burden households in a consistent manner, then this could have important implications for control and elimination program development. Data from a longitudinal cohort in The Gambia was analyzed. All consenting individuals residing in 12 villages across the country were sampled monthly from June (dry season) to December 2013 (wet season), in April 2014 (mid dry season), and monthly from June to December 2014. A study nurse stationed within each village recorded passively detected malaria episodes between visits. Plasmodium falciparum infections were determined by polymerase chain reaction and analyzed using a geostatistical model. Household-level observed monthly incidence ranged from 0 to 0.50 infection per person (interquartile range = 0.02-0.10) across the sampling months, and high burden households exist across all study villages. There was limited evidence of a spatio-temporal pattern at the monthly timescale irrespective of transmission intensity. Within-household transmission was the most plausible hypothesis examined to explain the observed heterogeneity in infections. Within-village malaria transmission patterns are concentrated in a small proportion of high burden households, but patterns are stochastic regardless of endemicity. Our findings support the notion of transmission occurring at the household and village scales but not the use of a targeted approach to interrupt spreading of infections from high to low burden areas within villages in this setting. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 20% |
| Turkmenistan | 1 | 10% |
| India | 1 | 10% |
| United States | 1 | 10% |
| Uganda | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 40% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 22% |
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 8 | 13% |
| Student > Doctoral Student | 6 | 9% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 19% |
| Agricultural and Biological Sciences | 7 | 11% |
| Nursing and Health Professions | 4 | 6% |
| Immunology and Microbiology | 3 | 5% |
| Computer Science | 3 | 5% |
| Other | 17 | 27% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2018.
All research outputs
#4,551,384
of 23,103,436 outputs
Outputs from BMC Medicine
#2,117
of 3,466 outputs
Outputs of similar age
#89,166
of 337,432 outputs
Outputs of similar age from BMC Medicine
#47
of 74 outputs
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