| Title |
Illicit Drug Users in the Tanzanian Hinterland: Population Size Estimation Through Key Informant-Driven Hot Spot Mapping
|
|---|---|
| Published in |
AIDS and Behavior, February 2018
|
| DOI | 10.1007/s10461-018-2057-x |
| Pubmed ID | |
| Authors |
Joel Ndayongeje, Amani Msami, Yovin Ivo Laurent, Syangu Mwankemwa, Moza Makumbuli, Alois M. Ngonyani, Jenny Tiberio, Susie Welty, Christen Said, Meghan D. Morris, Willi McFarland |
| Abstract |
We mapped hot spots and estimated the numbers of people who use drugs (PWUD) and who inject drugs (PWID) in 12 regions of Tanzania. Primary (ie, current and past PWUD) and secondary (eg, police, service providers) key informants identified potential hot spots, which we visited to verify and count the number of PWUD and PWID present. Adjustments to counts and extrapolation to regional estimates were done by local experts through iterative rounds of discussion. Drug use, specifically cocaine and heroin, occurred in all regions. Tanga had the largest numbers of PWUD and PWID (5190 and 540, respectively), followed by Mwanza (3300 and 300, respectively). Findings highlight the need to strengthen awareness of drug use and develop prevention and harm reduction programs with broader reach in Tanzania. This exercise provides a foundation for understanding the extent and locations of drug use, a baseline for future size estimations, and a sampling frame for future research. |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 5 | 56% |
| South Africa | 1 | 11% |
| Denmark | 1 | 11% |
| Australia | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Researcher | 11 | 13% |
| Student > Bachelor | 7 | 8% |
| Student > Ph. D. Student | 6 | 7% |
| Lecturer | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 31 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 22% |
| Nursing and Health Professions | 8 | 9% |
| Business, Management and Accounting | 6 | 7% |
| Social Sciences | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 35 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 June 2019.
All research outputs
#6,439,761
of 23,849,058 outputs
Outputs from AIDS and Behavior
#988
of 3,566 outputs
Outputs of similar age
#131,023
of 449,253 outputs
Outputs of similar age from AIDS and Behavior
#20
of 81 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
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We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.