Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)

Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period. Development relevance: Despite the existence of effective medications and treatment, HIV/AIDS is still a leading cause of death and public health threat in the world. Low and middle income countries continue to bear a disproportionate share of the global burden of HIV/AIDS. The incidence rate provides a measure of progress toward preventing onward transmission of HIV. Also, the identification of newly infected persons will allow for interventions to reduce the risk of HIV transmission. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data.
Publisher
The World Bank
Origin
Global
Records
2635
Source
Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)
country_code year value
AFG 1990 0.01
BDI 1990 8.99
BEN 1990 0.76
BFA 1990 4.6
BGD 1990
BTN 1990
CAF 1990 13.07
CIV 1990 9.73
CMR 1990 2.17
COD 1990 2.51
COG 1990 8.43
COM 1990 0.01
CPV 1990 0.99
DEA 1990 0.31057346
DEC 1990 0.01442013
DFS 1990 3.23961722
DJI 1990 0.56
DLA 1990 2.59955305
DMA 1990
DMN 1990 0.02423065
DNF 1990 3.96785114
DSA 1990
DSS 1990 5.75342349
ERI 1990 2.06
ETH 1990 5.58
FJI 1990 0.01
FSM 1990
GHA 1990 2.81
GIN 1990 1.73
GMB 1990 0.38
GNB 1990 0.79
GRD 1990
GUY 1990 0.09
HND 1990 1.59
HTI 1990 5.19
IDA 1990 3.58756229
IDB 1990 3.37892955
IDX 1990 3.7211283
KEN 1990 15.28
KGZ 1990 0.04
KHM 1990 0.21
KIR 1990
LAO 1990 0.01
LBR 1990 6.02
LCA 1990
LSO 1990 11.47
MDG 1990 0.01
MDV 1990
MHL 1990
MLI 1990
MMR 1990 0.4
MOZ 1990 3.94
MRT 1990
MWI 1990 19.51
NER 1990 0.52
NGA 1990 1.31
NIC 1990 0.04
NPL 1990 0.01
PAK 1990 0.01
PNG 1990 0.02
RWA 1990 5.69
SDN 1990 0.08
SEN 1990 0.42
SLB 1990
SLE 1990 1.47
SOM 1990 0.22
SSD 1990 1.86
STP 1990
SYR 1990 0.01
TCD 1990 2.53
TGO 1990 2.88
TJK 1990 0.01
TLS 1990 0.02
TON 1990
TUV 1990
TZA 1990 8.65
UGA 1990 11.86
UZB 1990 0.01
VCT 1990
VUT 1990
WSM 1990
XKX 1990
YEM 1990 0.01
ZMB 1990 23.6
ZWE 1990 47.31
AFG 1991 0.01
BDI 1991 7.93
BEN 1991 1.11
BFA 1991 4.02
BGD 1991
BTN 1991
CAF 1991 13
CIV 1991 10.39
CMR 1991 2.92
COD 1991 2.48
COG 1991 7.76
COM 1991 0.01
CPV 1991 1.07
DEA 1991 0.63715514
DEC 1991 0.01293835

Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)

Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period. Development relevance: Despite the existence of effective medications and treatment, HIV/AIDS is still a leading cause of death and public health threat in the world. Low and middle income countries continue to bear a disproportionate share of the global burden of HIV/AIDS. The incidence rate provides a measure of progress toward preventing onward transmission of HIV. Also, the identification of newly infected persons will allow for interventions to reduce the risk of HIV transmission. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data.
Publisher
The World Bank
Origin
Global
Records
2635
Source