Review
S Afr Med J 2014;104(3):174-177. DOI: 10.7196/SAMJ.7968
treat TB
Description of Research Outputs, 2009 - 2014
Trials (2017) 18:152, DOI 10.1186/s13063-017-1881-z
Saudi Journal of Biological Sciences. http://dx.doi.org/10.1016/j.sjbs.2016.03.006
Open Access
DHS Working Papers No. 84
DHS Working Papers No. 124
PLOS ONE | https://doi.org/10.1371/journal.pone.0210937
February 5, 2019
Представлены данные о факторах риска, которые способствуют развитию суицидального поведения. На развитие суицидального поведения влияет целый ряд факторов: пол, ...озраст, место проживания, профессия, семейное положение, состояние здоровья и т.д. Отмечается влияние экономических и социальных факторов на уровень суицидальной активности населения. Наблюдаются взаимосвязи между психическими расстройствами, наркологическими заболеваниями (особенно алкоголизм) и суицидом. При наличии многочисленных исследований в области суицидологии целый ряд проблем остаётся неразрешенным. Необходимо их дальнейшее изучение. Особо следует отметить значимость «региональных» факторов риска, которые оказывают наибольшее влияние на формирование суицидального поведения в отдельно взятом регионе.
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Tokar et al. Health Research Policy and Systems (2019) 17:23 https://doi.org/10.1186/s12961-019-0415-4
Petersen et al. Int J Ment Health Syst (2016) 10:30 DOI 10.1186/s13033-016-0060-z
Руководство ВОЗ по информированию и гармонизации процессов обеспечения готовности и реагирования при пандемии на национальном и международном уровне
Руководс...во ВОЗ "Управление рисками, связанными с пандемией гриппа", содержит обновленную информацию и заменяет "Руководство ВОЗ по обеспечению готовности к пандемии гриппа и ответным мерам", которое было опубликовано в 2009 г.
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Временные рекомендации
13 марта 2020 г.
Настоящий документ является вторым изданием руководства (версия 1.2), которое первоначально представляло собой адаптированн...ый вариант Руководства по клиническому ведению тяжелой острой респираторной инфекции при подозрении на инфекцию MERS-CoV (ВОЗ, 2019 г.).
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Clinical care for severe acute respiratory infection: toolkit: COVID-19 adaptation
Clinical care for severe acute respiratory infection: toolkit: COVID-19 adaptation
It is often observed that educated women have lower birth rates than do the less educated, inviting a causal interpretation. However, educated women also differ from those who have never attended school in a
variety of other ways: the two factors are multiply related. This article analyzes the rela...tionship between schooling and fertility in contemporary Cameroon as both a statistical and a social phenomenon, using data from the 1998 Cameroon DHS alongside ethnographic field data collected by
the author. T
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Considerations on the implementation and adjustment of
public health and social measures in the context of
COVID-19
Interim guidance 14 June 2021
Mosquito-borne diseases are expanding their range, and re-emerging in areas where they had subsided for decades. The extent to which climate change influences the transmission suitability and population at risk of mosquito-borne diseases across different altitudes and population densities has not be...en investigated. The aim of this study was to quantify the extent to which climate change will influence the length of the transmission season and estimate the population at risk of mosquito-borne diseases in the future, given different population densities across an altitudinal gradient.
The Lancet Planetary Health Volume 5, ISSUE 7, e404-e414, July 01, 2021
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Published: November 24, 2020 https://doi.org/10.1371/journal.pbio.3000938
Climate change is expected to have complex effects on infectious diseases, causing some to increase, others to decrease, and many to shift their distributions. There have been several important advances in understanding the ...role of climate and climate change on wildlife and human infectious disease dynamics over the past several years. This essay examines 3 major areas of advancement, which include improvements to mechanistic disease models, investigations into the importance of climate variability to disease dynamics, and understanding the consequences of thermal mismatches between host and parasites. Applying the new information derived from these advances to climate–disease models and addressing the pressing knowledge gaps that we identify should improve the capacity to predict how climate change will affect disease risk for both wildlife and humans.
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