Download source data for disaggregations (.csv)
| Year | Value | GeoCode |
|---|---|---|
| 2007 | 0.018437 | |
| 2008 | 0.003428 | |
| 2009 | 0.000743 | |
| 2010 | 0.000367 | |
| 2011 | 0.007979 | |
| 2012 | 0.000535 | |
| 2013 | 0.000699 | |
| 2015 | 0.000168 | |
| 2016 | 0.000987 | |
| 2017 | 0.000323 | |
| 2018 | 0.000158 | |
| 2019 | 0.000158 | |
| 2021 | 0.000299 | |
| 2022 | 0.0 | |
| 2023 | 0.0 |
This table provides information about the indicator
| Indicator name |
3.3.3. Malaria incidence per 1,000 population |
|---|---|
| Target name |
3.3. By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases |
| Goal |
3: Ensure healthy lives and promote well-being for all at all ages |
This table provides metadata for the actual indicator available from Кыргызская Республика statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from Кыргызской Республики statistics, this table should be consulted for information on national methodology and other Кыргызской Республики-specific metadata information.
| Geographical coverage |
Кыргызская Республика |
|---|---|
| Unit of measurement |
на 1000 человек |
| Definitions |
Incidence of malaria is defined as the number of new cases of malaria per 1,000 people at risk each year. |
| Concepts |
Case of malaria is defined as the occurrence of malaria infection in a person whom the presence of malaria parasites in the blood has been confirmed by a diagnostic test. The population considered is the population at risk of the disease. |
| Rationale and interpretation |
To measure trends in malaria morbidity and to identify locations where the risk of disease is highest. With this information, programmes can respond to unusual trends, such as epidemics, and direct resources to the populations most in need. This data also serves to inform global resource allocation for malaria such as when defining eligibility criteria for Global Fund finance. |
| Method of computation |
The indicator is calculated as the ratio of newly diagnosed malaria cases to the annual average population multiplied by 100,000. Malaria incidence (MI) is calculated by the formula: MI = N * 100 000 / P1 where N – number of newly diagnosed cases recorded in given year; P1 – annual average population. |
| Comments and limitations |
The estimated incidence can differ from the incidence reported by a Ministry of Health which can be affected by: • the completeness of reporting: the number of reported cases can be lower than the estimated cases if the percentage of health facilities reporting in a month is less than 100% • the extent of malaria diagnostic testing (the number of slides examined or RDTs performed) • the use of private health facilities which are usually not included in reporting systems. • the indicator is estimated only where malaria transmission occurs |
| Quality assurance |
|
| Data availability and gaps |
Data have been available since 2007 onwards |
| Disaggregation |
Data are disaggregated by region, sex and age. |
| Comparability with international data/standards |
The International Classification of Diseases and Causes of Death allows studying diseases according to common principles and obtaining comparable results. |
| References and documentation |
KR National SDG Reporting Platform: https://sustainabledevelopment-kyrgyzstan.github.io |
| Data sources |
The Ministry of Health of the Kyrgyz Republic submits a consolidated report with data broken down by region in the State statistical reporting form “Report on communicable, parasitic and non-communicable diseases”, as well as demographic statistics. |
| Data collection methods |
Data are collected by district, city and regional SSESD centers and Sanitary and Epidemiological Surveillance Department. |
| Link to UN metadata | United Nations Sustainable Development Goals Metadata opens in a new window |
This table provides information about the supplier of the data
| Organization |
National Statistical Committee of KR (Social Statistics Division) |
|---|---|
| Contact person(s)/focal point |
Rakhmanova Zh.Zh. |
| Contact person's email |
rakhmanovazz@mail.ru |
| Contact person's phone |
(0312) 32 46 52 |
| Organization website |
www.stat.kg |